diff --git a/.github/workflows/build-docs.yml b/.github/workflows/build-docs.yml
new file mode 100644
index 00000000..a8eb4b59
--- /dev/null
+++ b/.github/workflows/build-docs.yml
@@ -0,0 +1,24 @@
+# Copyright (c) 2025, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+name: Build docs
+
+on:
+  pull_request:
+    types: [opened, synchronize, reopened, labeled, unlabeled]
+  workflow_call:
+
+jobs:
+  build-docs:
+    uses: NVIDIA-NeMo/FW-CI-templates/.github/workflows/_build_docs.yml@v0.57.0
diff --git a/.github/workflows/changelog-build.yml b/.github/workflows/changelog-build.yml
new file mode 100644
index 00000000..f69b92e7
--- /dev/null
+++ b/.github/workflows/changelog-build.yml
@@ -0,0 +1,123 @@
+name: 'Changelog Build (Release)'
+
+on:
+  workflow_dispatch:
+    inputs:
+      last-release-tag:
+        description: Last Git tag to start from (exclusive) (e.g. `v2.0.0`)
+        type: string
+        required: true
+      release-branch:
+        description: Release branch to build changelog on (e.g. `r2.1.0`)
+        type: string
+        required: true
+      changelog-main-content:
+        description: Custom changelog content to include before detailed changelogs
+        type: string
+        required: false
+        default: ''
+    
+jobs:
+  changelog:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout branch
+        uses: actions/checkout@v4
+        with:
+          ref: main
+          fetch-depth: 0
+
+      - name: Build Changelog
+        id: github_tag
+        uses: mikepenz/release-changelog-builder-action@v3.3.1
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        with:
+          # Configuration file is setup with filters for domains
+          # owner:repo must point to current repo
+          # fromTag: Auto resolved from historical tag order (previous tag compared to current tag)
+          # toTag: Current tag reference
+          configuration: ".github/workflows/config/changelog-config.json"
+          owner: ${{ github.repository_owner }}
+          repo: ${{ github.event.repository.name }}
+          ignorePreReleases: "false"
+          failOnError: "false"
+          fromTag: ${{ inputs.last-release-tag }}
+          toTag: ${{ inputs.release-branch }}
+
+      - name: Update changelog file
+        env: 
+          RELEASE_BRANCH: ${{ inputs.release-branch }}
+          CHANGELOG: ${{ steps.github_tag.outputs.changelog }}
+          MAIN_CONTENT: ${{ inputs.changelog-main-content }}
+        shell: bash -x -e -u -o pipefail {0}
+        run: |
+          RELEASE_VERSION=${RELEASE_BRANCH#r}
+          CHANGELOG=$(echo "$CHANGELOG" | sed '/^[[:blank:]]*#/s/#/###/')
+
+          # Build release notes starting with version header
+          RELEASE_NOTES="## NVIDIA Nemo Run $RELEASE_VERSION"
+
+          # Add custom content if provided
+          if [ -n "$MAIN_CONTENT" ]; then
+            RELEASE_NOTES="$RELEASE_NOTES
+
+          $MAIN_CONTENT"
+          fi
+
+          # Add detailed changelogs section
+          RELEASE_NOTES="$RELEASE_NOTES
+
+          ### Detailed Changelogs:
+
+          $CHANGELOG"
+
+          printf "%s\n" "$RELEASE_NOTES" | sed '/<!-- Next changelog -->/r /dev/stdin' CHANGELOG.md > CHANGELOG.tmp.md
+
+          mv CHANGELOG.tmp.md CHANGELOG.md
+
+      - name: Inspect new changelog file
+        run: cat CHANGELOG.md
+
+      - name: Create or update label
+        uses: actions/github-script@v6
+        with:
+          script: |
+            const labelName = '${{ inputs.release-branch }}';
+            const labelColor = '0366d6'; // Blue color
+            const labelDescription = `Release ${labelName}`;
+
+            try {
+              // Try to get the label
+              await github.rest.issues.getLabel({
+                owner: context.repo.owner,
+                repo: context.repo.repo,
+                name: labelName
+              });
+              console.log(`Label '${labelName}' already exists`);
+            } catch (error) {
+              if (error.status === 404) {
+                // Label doesn't exist, create it
+                await github.rest.issues.createLabel({
+                  owner: context.repo.owner,
+                  repo: context.repo.repo,
+                  name: labelName,
+                  color: labelColor,
+                  description: labelDescription
+                });
+                console.log(`Created label '${labelName}'`);
+              } else {
+                throw error;
+              }
+            }
+
+      - name: Create Pull Request
+        uses: peter-evans/create-pull-request@v7
+        with:
+          commit-message: "beep boop: Update changelog"
+          title: "Update changelog for `${{ inputs.release-branch }}`"
+          signoff: true
+          sign-commits: true
+          base: main
+          branch: bot/chore/update-changelog-into-${{ inputs.release-branch }}
+          labels: ${{ inputs.release-branch }}
diff --git a/.github/workflows/cherry-pick-release-commit.yml b/.github/workflows/cherry-pick-release-commit.yml
index 8b21bd3f..32f06df5 100644
--- a/.github/workflows/cherry-pick-release-commit.yml
+++ b/.github/workflows/cherry-pick-release-commit.yml
@@ -7,7 +7,7 @@ on:
 
 jobs:
   cherry-pick:
-    uses: NVIDIA-NeMo/FW-CI-templates/.github/workflows/_cherry_pick.yml@v0.22.7
+    uses: NVIDIA-NeMo/FW-CI-templates/.github/workflows/_cherry_pick.yml@v0.63.0
     secrets:
       PAT: ${{ secrets.PAT }}
       SLACK_WEBHOOK_ADMIN: ${{ secrets.SLACK_WEBHOOK_ADMIN }}
diff --git a/.github/workflows/close-inactive-issue-pr.yml b/.github/workflows/close-inactive-issue-pr.yml
new file mode 100644
index 00000000..b81f8293
--- /dev/null
+++ b/.github/workflows/close-inactive-issue-pr.yml
@@ -0,0 +1,8 @@
+name: Stale-Close-Inactive-Issues-PRs
+on:
+  schedule:
+    - cron: "30 1 * * *"
+
+jobs:
+  close-issues:
+    uses: NVIDIA-NeMo/FW-CI-templates/.github/workflows/_close_inactive_issue_pr.yml@v0.44.0
diff --git a/.github/workflows/community-bot.yml b/.github/workflows/community-bot.yml
new file mode 100644
index 00000000..fa004e28
--- /dev/null
+++ b/.github/workflows/community-bot.yml
@@ -0,0 +1,15 @@
+name: Community Bot
+
+on:
+  issues:
+    types: [opened, edited, reopened, closed, deleted]
+  issue_comment:
+    types: [created, edited, deleted]
+
+jobs:
+  community-bot:
+    uses: NVIDIA-NeMo/FW-CI-templates/.github/workflows/_community_bot.yml@v0.54.4
+    with:
+      community_project_id: ${{ vars.COMMUNITY_PROJECT_ID }}
+    secrets:
+      GH_TOKEN: ${{ secrets.PAT }}
diff --git a/.github/workflows/config/changelog-config.json b/.github/workflows/config/changelog-config.json
new file mode 100644
index 00000000..0b78b096
--- /dev/null
+++ b/.github/workflows/config/changelog-config.json
@@ -0,0 +1,118 @@
+{
+    "categories": [
+      {
+        "title": "## Executors\n\n",
+        "labels": ["executor", "local", "slurm", "dgxcloud", "lepton", "skypilot", "docker"],
+        "exclude_labels": ["ignore"]
+      },
+      {
+        "title": "\n## Ray Integration\n\n",
+        "labels": ["ray", "kuberay", "ray-slurm"],
+        "exclude_labels": ["ignore"]
+      },
+      {
+        "title": "\n## CLI & Configuration\n\n",
+        "labels": ["cli", "config", "parsing"],
+        "exclude_labels": ["ignore"]
+      },
+      {
+        "title": "\n## Experiment & Job Management\n\n",
+        "labels": ["experiment", "job", "task"],
+        "exclude_labels": ["ignore"]
+      },
+      {
+        "title": "\n## Packaging & Deployment\n\n",
+        "labels": ["packaging", "deployment"],
+        "exclude_labels": ["ignore"]
+      },
+      {
+        "title": "\n## Documentation\n\n",
+        "labels": ["docs", "documentation"],
+        "exclude_labels": ["ignore"]
+      },
+      {
+        "title": "\n## CI/CD\n\n",
+        "labels": ["ci", "github-actions", "workflow"],
+        "exclude_labels": ["ignore"]
+      },
+      {
+        "title": "\n## Bug Fixes\n\n",
+        "labels": ["bug", "bugfix", "fix"],
+        "exclude_labels": ["ignore"]
+      }
+    ],
+    "ignore_labels": [
+      "ignore",
+      "skip-changelog"
+    ],
+    "sort": "ASC",
+    "template": "\n${{CHANGELOG}}\n## Others\n\n${{UNCATEGORIZED}}\n",
+    "pr_template": "- ${{TITLE}} [#${{NUMBER}}](${{URL}})",
+    "empty_template": "- No changes in this release",
+    "label_extractor": [
+      {
+        "pattern": "(.*executor.*)|(.*local.*)|(.*slurm.*)|(.*dgxcloud.*)|(.*lepton.*)|(.*skypilot.*)|(.*docker.*)",
+        "target": "executor",
+        "flags": "gimu",
+        "on_property": ["title", "body"]
+      },
+      {
+        "pattern": "(.*ray.*)|(.*kuberay.*)",
+        "target": "ray",
+        "flags": "gimu",
+        "on_property": ["title", "body"]
+      },
+      {
+        "pattern": "(.*cli.*)|(.*command.*)|(.*parse.*)|(.*argument.*)",
+        "target": "cli",
+        "flags": "gimu",
+        "on_property": ["title", "body"]
+      },
+      {
+        "pattern": "(.*experiment.*)|(.*job.*)|(.*task.*)",
+        "target": "experiment",
+        "flags": "gimu",
+        "on_property": ["title", "body"]
+      },
+      {
+        "pattern": "(.*packaging.*)|(.*package.*)|(.*deploy.*)|(.*archive.*)|(.*mount.*)",
+        "target": "packaging",
+        "flags": "gimu",
+        "on_property": ["title", "body"]
+      },
+      {
+        "pattern": "(.*doc.*)|(.*readme.*)|(.*guide.*)|(.*tutorial.*)",
+        "target": "docs",
+        "flags": "gimu",
+        "on_property": ["title", "body"]
+      },
+      {
+        "pattern": "(.*\\bci\\b.*)|(.*github.*)|(.*workflow.*)|(.*action.*)",
+        "target": "ci",
+        "flags": "gimu",
+        "on_property": ["title", "body"]
+      },
+      {
+        "pattern": "(.*\\[bug.*)|(.*\\bfix\\b.*)|(.*bugfix.*)|(.*patch.*)",
+        "target": "bug",
+        "flags": "gimu",
+        "on_property": ["title", "body"]
+      }
+    ],
+    "duplicate_filter": {
+      "pattern": ".+",
+      "on_property": "title",
+      "method": "match"
+    },
+    "transformers": [
+    ],
+    "max_tags_to_fetch": 100,
+    "max_pull_requests": 500,
+    "max_back_track_time_days": 365,
+    "exclude_merge_branches": [
+    ],
+    "tag_resolver": {
+      "method": "semver"
+    }
+}
+
diff --git a/.github/workflows/copyright-check.yml b/.github/workflows/copyright-check.yml
new file mode 100644
index 00000000..55d95abd
--- /dev/null
+++ b/.github/workflows/copyright-check.yml
@@ -0,0 +1,23 @@
+# Copyright (c) 2025, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+name: Copyright check
+
+on:
+  pull_request:
+  workflow_dispatch:
+
+jobs:
+  copyright-check:
+    uses: NVIDIA-NeMo/FW-CI-templates/.github/workflows/_copyright_check.yml@v0.54.4
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index d782dd58..ccb54497 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -31,7 +31,7 @@ on:
         description: Branch to target for version bump
 jobs:
   release:
-    uses: NVIDIA-NeMo/FW-CI-templates/.github/workflows/_release_library.yml@v0.22.6
+    uses: NVIDIA-NeMo/FW-CI-templates/.github/workflows/_release_library.yml@v0.40.0
     with:
       release-ref: ${{ inputs.release-ref }}
       python-package: nemo_run
diff --git a/CHANGELOG.md b/CHANGELOG.md
new file mode 100644
index 00000000..5c18eca5
--- /dev/null
+++ b/CHANGELOG.md
@@ -0,0 +1,110 @@
+# Changelog
+
+<!-- Next changelog -->
+## NVIDIA Nemo Run 0.6.0
+
+### Detailed Changelogs:
+
+## Executors
+
+- Added Pre-Launch Commands Support to LeptonExecutor [#312](https://github.com/NVIDIA-NeMo/Run/pull/312)
+- Remove breaking torchrun config for single-node runs [#292](https://github.com/NVIDIA-NeMo/Run/pull/292)
+- Upgrade skypilot to v0.10.0, introduce network_tier [#297](https://github.com/NVIDIA-NeMo/Run/pull/297)
+- Fixes for multi-node execution with torchrun + LocalExecutor [#251](https://github.com/NVIDIA-NeMo/Run/pull/251)
+- Add option to specify --container-env for srun [#293](https://github.com/NVIDIA-NeMo/Run/pull/293)
+- Fix skypilot archive mount bug [#288](https://github.com/NVIDIA-NeMo/Run/pull/288)
+- finetune on dgxcloud with nemo-run and deploy on bedrock example [#286](https://github.com/NVIDIA-NeMo/Run/pull/286)
+
+## Ray Integration
+
+- Add nsys patch in ray sub template [#318](https://github.com/NVIDIA-NeMo/Run/pull/318)
+- Add logs dir to container mount for ray slurm [#287](https://github.com/NVIDIA-NeMo/Run/pull/287)
+- Allow customizing folder for SlurmRayRequest [#281](https://github.com/NVIDIA-NeMo/Run/pull/281)
+
+## CLI & Configuration
+
+## Experiment & Job Management
+
+- Use thread pool for status, run methods inside experiment + other fixes [#295](https://github.com/NVIDIA-NeMo/Run/pull/295)
+
+## Packaging & Deployment
+
+- Correctly append tar files for packaging [#317](https://github.com/NVIDIA-NeMo/Run/pull/317)
+
+## Documentation
+
+- Create CHANGELOG.md [#314](https://github.com/NVIDIA-NeMo/Run/pull/314)
+- docs: Fixing doc build issue [#290](https://github.com/NVIDIA-NeMo/Run/pull/290)
+- fix docs tutorial links and add intro to guides/index.md [#285](https://github.com/NVIDIA-NeMo/Run/pull/285)
+- README [#277](https://github.com/NVIDIA-NeMo/Run/pull/277)
+
+## CI/CD
+
+- changelog workflow [#315](https://github.com/NVIDIA-NeMo/Run/pull/315)
+- Update release.yml [#306](https://github.com/NVIDIA-NeMo/Run/pull/306)
+- ci(fix): Use GITHUB_TOKEN for community bot [#302](https://github.com/NVIDIA-NeMo/Run/pull/302)
+- ci: Add community-bot [#300](https://github.com/NVIDIA-NeMo/Run/pull/300)
+
+## Bug Fixes
+
+- [Bugfix] Adding a check for name length [#273](https://github.com/NVIDIA-NeMo/Run/pull/273)
+- misc fixes [#280](https://github.com/NVIDIA-NeMo/Run/pull/280)
+- adding fix for lowercase and name length k8s requirements [#274](https://github.com/NVIDIA-NeMo/Run/pull/274)
+
+## Others
+
+- Specify nodes for gpu metrics collection and split data to each rank [#320](https://github.com/NVIDIA-NeMo/Run/pull/320)
+- Apply '_enable_goodbye_message' check to both goodbye messages. [#319](https://github.com/NVIDIA-NeMo/Run/pull/319)
+- Update refs [#278](https://github.com/NVIDIA-NeMo/Run/pull/278)
+- chore: Bump to version 0.6.0rc0.dev0 [#272](https://github.com/NVIDIA-NeMo/Run/pull/272)
+
+## NVIDIA Nemo Run 0.5.0
+
+
+- Fix docs warnings [#271](https://github.com/NVIDIA-NeMo/Run/pull/271)
+- Fix docs build [#269](https://github.com/NVIDIA-NeMo/Run/pull/269)
+- Support overlapped srun commands in Slurm Ray [#263](https://github.com/NVIDIA-NeMo/Run/pull/263)
+- Refactor DGXC Lepton data mover: switch to BatchJob with auto cleanup and sleep after every run [#265](https://github.com/NVIDIA-NeMo/Run/pull/265)
+- ci: Fix nemo fw template ref after migrating to new org [#256](https://github.com/NVIDIA-NeMo/Run/pull/256)
+- Enable Nsys gpu device metrics [#257](https://github.com/NVIDIA-NeMo/Run/pull/257)
+- Sync job code in local tunnel for Slurm Ray job [#254](https://github.com/NVIDIA-NeMo/Run/pull/254)
+- Change the create dist job function to support creating a single node [#240](https://github.com/NVIDIA-NeMo/Run/pull/240)
+- Making job names match Run:ai requirements and making errors more descriptive [#255](https://github.com/NVIDIA-NeMo/Run/pull/255)
+- Support for %j in slurm log retrieval [#252](https://github.com/NVIDIA-NeMo/Run/pull/252)
+- Add KubeRay tests for Ray APIs [#249](https://github.com/NVIDIA-NeMo/Run/pull/249)
+- Upgrade skypilot executor with 0.9.2 [#246](https://github.com/NVIDIA-NeMo/Run/pull/246)  
+- Add user scoping for k8s backend and log level support for Ray APIs [#247](https://github.com/NVIDIA-NeMo/Run/pull/247)
+- Update to latest Lepton SDK [#248](https://github.com/NVIDIA-NeMo/Run/pull/248)
+- Add storage mount options to LeptonExecutor [#237](https://github.com/NVIDIA-NeMo/Run/pull/237)
+- Import guard k8s import in Ray Cluster and Job [#245](https://github.com/NVIDIA-NeMo/Run/pull/245)
+- Add RayJob and Slurm support for Ray APIs + integration with run.Experiment [#236](https://github.com/NVIDIA-NeMo/Run/pull/236)
+- ci: Enforce coverage [#238](https://github.com/NVIDIA-NeMo/Run/pull/238)
+- Fix bug with a CLI overwrite [#235](https://github.com/NVIDIA-NeMo/Run/pull/235)
+- Add LeptonExecutor support [#224](https://github.com/NVIDIA-NeMo/Run/pull/224)
+- Add cancel to docker executor [#233](https://github.com/NVIDIA-NeMo/Run/pull/233)
+- Change default log wait timeout to 10s [#232](https://github.com/NVIDIA-NeMo/Run/pull/232)
+- Add RayCluster API with Kuberay support [#222](https://github.com/NVIDIA-NeMo/Run/pull/222)
+- Add sbatch network arg [#230](https://github.com/NVIDIA-NeMo/Run/pull/230)
+- chore: Update package info [#227](https://github.com/NVIDIA-NeMo/Run/pull/227)
+- Add support for job groups for local executor [#220](https://github.com/NVIDIA-NeMo/Run/pull/220)
+- Roll back get_underlying_types change + introduce extract_constituent [#223](https://github.com/NVIDIA-NeMo/Run/pull/223)
+- Fix some bugs for --lazy in CLI [#179](https://github.com/NVIDIA-NeMo/Run/pull/179)
+- Adding support for modern type-hints [#221](https://github.com/NVIDIA-NeMo/Run/pull/221)
+- Fix bug in CLI with calling a factory-fn inside a list [#214](https://github.com/NVIDIA-NeMo/Run/pull/214)
+- Handle more edge cases in --help [#219](https://github.com/NVIDIA-NeMo/Run/pull/219)
+- Add autogenerated API reference content to the documentation [#190](https://github.com/NVIDIA-NeMo/Run/pull/190)
+- Handle Callable in --help to fix nemo llm export --help error [#217](https://github.com/NVIDIA-NeMo/Run/pull/217)
+- Ensure job directory creation for various schedulers [#216](https://github.com/NVIDIA-NeMo/Run/pull/216)
+- Adding support for ForwardRef in CLI [#176](https://github.com/NVIDIA-NeMo/Run/pull/176)
+- Add additional debug to DGXC data mover [#215](https://github.com/NVIDIA-NeMo/Run/pull/215)
+- Handle ctx in entrypoint for experiment [#213](https://github.com/NVIDIA-NeMo/Run/pull/213)
+- zozhang/dgxc executor data mover [#206](https://github.com/NVIDIA-NeMo/Run/pull/206)
+- Add support for YAML, TOML & JSON [#182](https://github.com/NVIDIA-NeMo/Run/pull/182)
+- Add clean mode for experiment to avoid printing any NeMo-Run specific logs [#208](https://github.com/NVIDIA-NeMo/Run/pull/208)
+- Fix seed for torchrun [#209](https://github.com/NVIDIA-NeMo/Run/pull/209)
+- Support torchrun multi node on local executor [#143](https://github.com/NVIDIA-NeMo/Run/pull/143)
+- Add nsys filename param [#205](https://github.com/NVIDIA-NeMo/Run/pull/205)
+- Add DGXCloudExecutor docs and update execution guide [#192](https://github.com/NVIDIA-NeMo/Run/pull/192)
+- Add --cuda-event-trace=false to nsys command [#180](https://github.com/NVIDIA-NeMo/Run/pull/180)
+
+
diff --git a/docs/conf.py b/docs/conf.py
new file mode 100644
index 00000000..66b9d160
--- /dev/null
+++ b/docs/conf.py
@@ -0,0 +1,138 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Configuration file for the Sphinx documentation builder.
+#
+# For the full list of built-in configuration values, see the documentation:
+# https://www.sphinx-doc.org/en/master/usage/configuration.html
+
+# -- Project information -----------------------------------------------------
+# https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
+
+import sys
+from pathlib import Path
+
+sys.path.append(str(Path("../../examples").resolve()))
+
+project = "NeMo-Run"
+copyright = "2025, NVIDIA"
+author = "NVIDIA"
+release = "0.5.0"
+
+# -- General configuration ---------------------------------------------------
+# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
+
+extensions = [
+    "myst_parser",
+    "autoapi.extension",
+    "sphinx.ext.autodoc",
+    "sphinx.ext.doctest",
+    "sphinx.ext.intersphinx",
+    "sphinx.ext.todo",
+    "sphinx.ext.coverage",
+    "sphinx.ext.mathjax",
+    "sphinx.ext.ifconfig",
+    "sphinx.ext.viewcode",
+    "sphinx.ext.githubpages",
+    "sphinx.ext.napoleon",
+    "sphinxcontrib.mermaid",
+    "sphinx_copybutton",
+    "sphinx_new_tab_link",
+]
+
+templates_path = ["_templates"]
+exclude_patterns = ["_build", "Thumbs.db", ".DS_Store", "documentation.md"]
+
+# -- Options for MyST Parser (Markdown) --------------------------------------
+# MyST Parser settings
+myst_enable_extensions = [
+    "dollarmath",  # Enables dollar math for inline math
+    "amsmath",  # Enables LaTeX math for display mode
+    "colon_fence",  # Enables code blocks using ::: delimiters instead of ```
+    "deflist",  # Supports definition lists with term: definition format
+    "fieldlist",  # Enables field lists for metadata like :author: Name
+    "tasklist",  # Adds support for GitHub-style task lists with [ ] and [x]
+]
+myst_heading_anchors = 5  # Generates anchor links for headings up to level 5
+myst_fence_as_directive = ["mermaid"]
+
+python_maximum_signature_line_length = 88
+
+# Autoapi settings
+autoapi_generate_api_docs = True
+autoapi_keep_files = False
+autoapi_add_toctree_entry = False
+autoapi_type = "python"
+autoapi_dirs = ["../nemo_run"]
+autoapi_file_pattern = "*.py"
+autoapi_root = "api"
+autoapi_options = [
+    "members",
+    "show-inheritance",
+    "show-module-summary",
+    "special-members",
+    "imported-members",
+]
+
+# Autodoc settings
+autodoc_typehints = "signature"
+
+# Napoleon settings
+napoleon_google_docstring = True
+napoleon_numpy_docstring = True
+napoleon_include_init_with_doc = True
+napoleon_include_private_with_doc = True
+napoleon_include_special_with_doc = True
+napoleon_use_admonition_for_examples = False
+napoleon_use_admonition_for_notes = False
+napoleon_use_admonition_for_references = False
+napoleon_use_ivar = False
+napoleon_use_param = True
+napoleon_use_rtype = True
+
+# -- Options for HTML output -------------------------------------------------
+# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output
+
+html_theme = "nvidia_sphinx_theme"
+html_theme_options = {
+    "switcher": {
+        "json_url": "../versions1.json",
+        "version_match": release,
+    },
+    "extra_head": {
+        """
+    <script src="https://assets.adobedtm.com/5d4962a43b79/c1061d2c5e7b/launch-191c2462b890.min.js" ></script>
+    """
+    },
+    "extra_footer": {
+        """
+    <script type="text/javascript">if (typeof _satellite !== "undefined") {_satellite.pageBottom();}</script>
+    """
+    },
+    "icon_links": [
+        {
+            "name": "GitHub",
+            "url": "https://github.com/NVIDIA-NeMo/Run",
+            "icon": "fa-brands fa-github",
+        }
+    ],
+}
+html_extra_path = ["project.json", "versions1.json"]
+
+# Github links are now getting rate limited from the Github Actions
+linkcheck_ignore = [
+    ".*github\\.com.*",
+    ".*githubusercontent\\.com.*",
+]
diff --git a/docs/documentation.md b/docs/documentation.md
new file mode 100644
index 00000000..99399ea9
--- /dev/null
+++ b/docs/documentation.md
@@ -0,0 +1,47 @@
+# Documentation Development
+
+- [Documentation Development](#documentation-development)
+  - [Build the Documentation](#build-the-documentation)
+  - [Live Building](#live-building)
+
+
+## Build the Documentation
+
+The following sections describe how to set up and build the NeMo RL documentation.
+
+Switch to the documentation source folder and generate HTML output.
+
+```sh
+cd docs/
+uv run --group docs sphinx-build . _build/html
+```
+
+* The resulting HTML files are generated in a `_build/html` folder that is created under the project `docs/` folder.
+* The generated python API docs are placed in `apidocs` under the `docs/` folder.
+
+## Checking for Broken Links
+
+To check for broken http links in the docs, run this command:
+
+```sh
+cd docs/
+uv run --group docs sphinx-build --builder linkcheck . _build/linkcheck
+```
+
+It will output a JSON file at `_build/linkcheck/output.json` with links it found while building the
+docs. Records will have a status of `broken` if the link is not reachable. The `docs/conf.py` file is
+configured to ignore github links because the CI test will often experience rate limit errors.
+Comment out the `linkcheck_ignore` variable there to check all the links.
+
+## Live Building
+
+When writing documentation, it can be helpful to serve the documentation and have it update live while you edit.
+
+To do so, run:
+
+```sh
+cd docs/
+uv run --group docs sphinx-autobuild . _build/html --port 12345 --host 0.0.0.0
+```
+
+Open a web browser and go to `http://${HOST_WHERE_SPHINX_COMMAND_RUN}:12345` to view the output.
diff --git a/docs/source/faqs.md b/docs/faqs.md
similarity index 100%
rename from docs/source/faqs.md
rename to docs/faqs.md
diff --git a/docs/source/guides/cli.md b/docs/guides/cli.md
similarity index 98%
rename from docs/source/guides/cli.md
rename to docs/guides/cli.md
index 052a61ca..226b7d5e 100644
--- a/docs/source/guides/cli.md
+++ b/docs/guides/cli.md
@@ -2,7 +2,7 @@
 
 NeMo Run CLI is a Python-based command-line tool designed to efficiently configure and execute machine learning experiments. It provides a type-safe, Python-centric alternative to argparse and Hydra, streamlining workflows from prototyping to scaling across diverse environments.
 
-## 1. Introduction
+## Introduction
 
 NeMo Run CLI simplifies experiment management by leveraging Python's capabilities:
 
@@ -65,7 +65,7 @@ def train():
 - **Typer**: General-purpose CLIs with good documentation that don't require nested configuration
 - **argparse**: Simple scripts with minimal configuration needs and standard library requirements
 
-## 2. Core Concepts
+## Core Concepts
 
 - **Entrypoints**: Python functions decorated with `@run.cli.entrypoint` serving as primary CLI commands.
 - **Factories**: Functions decorated with `@run.cli.factory` that configure complex objects (e.g., models, optimizers).
@@ -73,7 +73,7 @@ def train():
 - **Experiments**: Groups of tasks executed sequentially or concurrently.
 - **RunContext**: Manages execution settings, including executor configurations.
 
-## 3. Getting Started
+## Getting Started
 
 ### Example 1: Basic Entrypoint
 
@@ -116,7 +116,7 @@ Output:
 Unknown argument 'epocks'. Did you mean 'epochs'?
 ```
 
-## 4. Advanced Configuration
+## Advanced Configuration
 
 ### Nested Configurations with Dataclasses
 
@@ -213,25 +213,25 @@ File contents:
 │ 2 target = "main.train_model"
 │ 3 batch_size = 32
 │ 4 epochs = 10
-│ 5 
+│ 5
 │ 6 [model]
 │ 7 target = "main.Model"
 │ 8 activation = "relu"
 │ 9 hidden_size = 256
 │ 10 num_layers = 5
-│ 11 
+│ 11
 │ 12 [optimizer]
 │ 13 target = "main.Optimizer"
 │ 14 betas = [ 0.9, 0.999,]
 │ 15 learning_rate = 0.001
 │ 16 weight_decay = 1e-5
-│ 17 
+│ 17
 ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
 Export complete. Skipping execution.
 
 ```
 
-## 5. Executors
+## Executors
 
 Executors determine where your code runs, such as local environments, Docker containers, or Slurm clusters.
 
@@ -283,7 +283,7 @@ def slurm_cluster() -> run.Executor:
         job_dir=BASE_DIR,
         container_image="nvcr.io/nvidia/nemo:dev",
         container_mounts=[
-            f"/home/{USER}:/home/{USER}", 
+            f"/home/{USER}:/home/{USER}",
             "/lustre:/lustre",
         ],
         time="4:00:00",
@@ -298,7 +298,7 @@ Execute lazily:
 python script.py --lazy model=alexnet epochs=5 run.executor=slurm_cluster run.executor.nodes=2
 ```
 
-## 6. Advanced CLI Features
+## Advanced CLI Features
 
 ### Dry Runs and Help Messages
 
@@ -393,4 +393,3 @@ The help output clearly shows:
 5. Registered factory functions for each complex argument type
 
 This makes it easy for users to discover what factory functions they can use to configure complex arguments like `model` and `optimizer`, along with information about where these factories are defined (module name and line number).
-
diff --git a/docs/source/guides/configuration.md b/docs/guides/configuration.md
similarity index 98%
rename from docs/source/guides/configuration.md
rename to docs/guides/configuration.md
index 7d7b91b0..134f5708 100644
--- a/docs/source/guides/configuration.md
+++ b/docs/guides/configuration.md
@@ -113,7 +113,10 @@ In our context, this is equivalent to:
      _target_: nemo.collections.llm.gpt.model.llama.Llama3Config8B
      seq_length: 16384
 ```
-> Note: we've used the [Hydra instantiation](https://hydra.cc/docs/advanced/instantiate_objects/overview/) syntax here.
+
+```{note}
+We've used the [Hydra instantiation](https://hydra.cc/docs/advanced/instantiate_objects/overview/) syntax here.
+```
 
 Python operations are performed on the config rather than directly on the class. For example:
 
diff --git a/docs/source/guides/execution.md b/docs/guides/execution.md
similarity index 88%
rename from docs/source/guides/execution.md
rename to docs/guides/execution.md
index 2ad34ef2..6f2c0063 100644
--- a/docs/source/guides/execution.md
+++ b/docs/guides/execution.md
@@ -3,6 +3,7 @@
 After configuring NeMo-Run, the next step is to execute it. Nemo-Run decouples configuration from execution, allowing you to configure a function or task once and then execute it across multiple environments. With Nemo-Run, you can choose to execute a single task or multiple tasks simultaneously on different remote clusters, managing them under an experiment. This brings us to the core building blocks for execution: `run.Executor` and `run.Experiment`.
 
 Each execution of a single configured task requires an executor. Nemo-Run provides `run.Executor`, which are APIs to configure your remote executor and set up the packaging of your code. Currently we support:
+
 - `run.LocalExecutor`
 - `run.DockerExecutor`
 - `run.SlurmExecutor` with an optional `SSHTunnel` for executing on Slurm clusters from your local machine
@@ -12,24 +13,33 @@ Each execution of a single configured task requires an executor. Nemo-Run provid
 A tuple of task and executor form an execution unit. A key goal of NeMo-Run is to allow you to mix and match tasks and executors to arbitrarily define execution units.
 
 Once an execution unit is created, the next step is to run it. The `run.run` function executes a single task, whereas `run.Experiment` offers more fine-grained control to define complex experiments. `run.run` wraps `run.Experiment` with a single task. `run.Experiment` is an API to launch and manage multiple tasks all using pure Python.
-The `run.Experiment` takes care of storing the run metadata, launching it on the specified cluster, and syncing the logs, etc. Additionally, `run.Experiment` also provides management tools to easily inspect and reproduce past experiments. The `run.Experiment` is inspired from [xmanager](https://github.com/google-deepmind/xmanager/tree/main) and uses [TorchX](https://pytorch.org/torchx/latest/) under the hood to handle execution.
+The `run.Experiment` takes care of storing the run metadata, launching it on the specified cluster, and syncing the logs, etc. Additionally, `run.Experiment` also provides management tools to easily inspect and reproduce past experiments. The `run.Experiment` is inspired from [xmanager](https://github.com/google-deepmind/xmanager/tree/main) and uses [TorchX](https://meta-pytorch.org/torchx/latest/) under the hood to handle execution.
 
-> **_NOTE:_** NeMo-Run assumes familiarity with Docker and uses a docker image as the environment for remote execution. This means you must provide a Docker image that includes all necessary dependencies and configurations when using a remote executor.
+```{note}
+NeMo-Run assumes familiarity with Docker and uses a docker image as the environment for remote execution. This means you must provide a Docker image that includes all necessary dependencies and configurations when using a remote executor.
+```
 
-> **_NOTE:_** All the experiment metadata is stored under `NEMORUN_HOME` env var on the machine where you launch the experiments. By default, the value for `NEMORUN_HOME` value is `~/.run`. Be sure to change this according to your needs.
+```{note}
+All the experiment metadata is stored under `NEMORUN_HOME` env var on the machine where you launch the experiments. By default, the value for `NEMORUN_HOME` value is `~/.run`. Be sure to change this according to your needs.
+```
 
 ## Executors
+
 Executors are dataclasses that configure your remote executor and set up the packaging of your code. All supported executors inherit from the base class `run.Executor`, but have configuration parameters specific to their execution environment. There is an initial cost to understanding the specifics of your executor and setting it up, but this effort is easily amortized over time.
 
 Each `run.Executor` has the two attributes: `packager` and `launcher`. The `packager` specifies how to package the code for execution, while the `launcher` determines which tool to use for launching the task.
 
 ### Launchers
+
 We support the following `launchers`:
+
 - `default` or `None`: This will directly launch your task without using any special launchers. Set `executor.launcher = None` (which is the default value) if you don't want to use a specific launcher.
 - `torchrun` or `run.Torchrun`: This will launch the task using `torchrun`. See the `Torchrun` class for configuration options. You can use it using `executor.launcher = "torchrun"` or `executor.launcher = Torchrun(...)`.
 - `ft` or `run.core.execution.FaultTolerance`: This will launch the task using NVIDIA's fault tolerant launcher. See the `FaultTolerance` class for configuration options. You can use it using `executor.launcher = "ft"` or `executor.launcher = FaultTolerance(...)`.
 
-> **_NOTE:_** Launcher may not work very well with `run.Script`. Please report any issues at https://github.com/NVIDIA-NeMo/Run/issues.
+```{attention}
+Launcher may not work very well with `run.Script`. Please report any issues at [https://github.com/NVIDIA-NeMo/Run/issues](https://github.com/NVIDIA-NeMo/Run/issues).
+```
 
 ### Packagers
 
@@ -48,26 +58,34 @@ The packager support matrix is described below:
 
 `run.GitArchivePackager` uses `git archive` to package your code. Refer to the API reference for `run.GitArchivePackager` to see the exact mechanics of packaging using `git archive`.
 At a high level, it works in the following way:
+
 1. base_path = `git rev-parse --show-toplevel`.
 2. Optionally define a subpath as `base_path/GitArchivePackager.subpath` by setting `subpath` attribute on `GitArchivePackager`.
 3. `cd base_path && git archive --format=tar.gz --output={output_file} {GitArchivePackager.subpath}:{subpath}`
 
 This extracted tar file becomes the working directory for your job. As an example, given the following directory structure with `subpath="src"`:
+
 ```
 - docs
 - src
   - your_library
 - tests
 ```
+
 Your working directory at the time of execution will look like:
+
 ```
 - your_library
 ```
+
 If you're executing a Python function, this working directory will automatically be included in your Python path.
 
-> **_NOTE:_** git archive doesn't package uncommitted changes. In the future, we may add support for including uncommitted changes while honoring `.gitignore`.
+```{note}
+Git archive doesn't package uncommitted changes. In the future, we may add support for including uncommitted changes while honoring `.gitignore`.
+```
 
 `run.PatternPackager` is a packager that uses a pattern to package your code. It is useful for packaging code that is not under version control. For example, if you have a directory structure like this:
+
 ```
 - docs
 - src
@@ -86,6 +104,7 @@ cd {relative_path} && find {relative_include_pattern} -type f
 Each sub-packager in the `sub_packagers` dictionary is assigned a key, which becomes the directory name under which its contents are placed in the final archive. If `extract_at_root` is set to `True`, all contents are placed directly in the root of the archive, potentially overwriting files if names conflict.
 
 Example:
+
 ```python
 import nemo_run as run
 import os
@@ -100,9 +119,11 @@ hybrid_packager = run.HybridPackager(
 # Usage with an executor:
 # executor.packager = hybrid_packager
 ```
+
 This would create an archive where the contents of `src` are under a `code/` directory and matched `configs/*.yaml` files are under a `configs/` directory.
 
 ### Defining Executors
+
 Next, We'll describe details on setting up each of the executors below.
 
 #### LocalExecutor
@@ -137,6 +158,7 @@ run.DockerExecutor(
 The SlurmExecutor enables launching the configured task on a Slurm Cluster with Pyxis.  Additionally, you can configure a `run.SSHTunnel`, which enables you to execute tasks on the Slurm cluster from your local machine while NeMo-Run manages the SSH connection for you. This setup supports use cases such as launching the same task on multiple Slurm clusters.
 
 Below is an example of configuring a Slurm Executor
+
 ```python
 def your_slurm_executor(nodes: int = 1, container_image: str = DEFAULT_IMAGE):
     # SSH Tunnel
@@ -178,7 +200,7 @@ Use the SSH Tunnel when launching from your local machine, or the Local Tunnel i
 
 ##### Job Dependencies
 
-`SlurmExecutor` supports defining dependencies between [jobs](management.md#adding-tasks), allowing you to create workflows where jobs run in a specific order. Additionally, you can specify the `dependency_type` parameter:
+`SlurmExecutor` supports defining dependencies between [jobs](management.md#add-tasks), allowing you to create workflows where jobs run in a specific order. Additionally, you can specify the `dependency_type` parameter:
 
 ```python
 executor = run.SlurmExecutor(
@@ -197,16 +219,18 @@ The `dependency_type` parameter specifies the type of dependency relationship:
 This functionality enables you to create complex workflows with proper orchestration between different tasks, such as starting a training job only after data preparation is complete, or running an evaluation only after training finishes successfully.
 
 #### SkypilotExecutor
+
 This executor is used to configure [Skypilot](https://skypilot.readthedocs.io/en/latest/docs/index.html). Make sure Skypilot is installed using `pip install "nemo_run[skypilot]"` and atleast one cloud is configured using `sky check`.
 
 Here's an example of the `SkypilotExecutor` for Kubernetes:
+
 ```python
 def your_skypilot_executor(nodes: int, devices: int, container_image: str):
     return SkypilotExecutor(
         gpus="RTX5880-ADA-GENERATION",
         gpus_per_node=devices,
-        nodes = nodes
-        env_vars=common_envs()
+        num_nodes=nodes,
+        env_vars=common_envs(),
         container_image=container_image,
         cloud="kubernetes",
         # Optional to reuse Skypilot cluster
@@ -228,7 +252,9 @@ As demonstrated in the examples, defining executors in Python offers great flexi
 
 The `DGXCloudExecutor` integrates with a DGX Cloud cluster's Run:ai API to launch distributed jobs. It uses REST API calls to authenticate, identify the target project and cluster, and submit the job specification.
 
-> **_WARNING:_** Currently, the `DGXCloudExecutor` is only supported when launching experiments *from* a pod running on the DGX Cloud cluster itself. Furthermore, this launching pod must have access to a Persistent Volume Claim (PVC) where the experiment/job directories will be created, and this same PVC must also be configured to be mounted by the job being launched.
+```{warning}
+Currently, the `DGXCloudExecutor` is only supported when launching experiments *from* a pod running on the DGX Cloud cluster itself. Furthermore, this launching pod must have access to a Persistent Volume Claim (PVC) where the experiment/job directories will be created, and this same PVC must also be configured to be mounted by the job being launched.
+```
 
 Here's an example configuration:
 
@@ -295,6 +321,12 @@ def your_lepton_executor(nodes: int, gpus_per_node: int, container_image: str):
         mounts=[{"path": storage_path, "mount_path": mount_path}],
         # Optional: Add custom environment variables or PyTorch specs if needed
         env_vars=common_envs(),
+        # Optional: Specify a node reservation to schedule jobs with
+        # node_reservation="my-node-reservation",
+        # Optional: Specify commands to run at container launch prior to the job starting
+        # pre_launch_commands=["nvidia-smi"],
+        # Optional: Specify image pull secrets for authenticating with container registries
+        # image_pull_secrets=["my-image-pull-secret"],
         # packager=run.GitArchivePackager() # Choose appropriate packager
     )
     return executor
diff --git a/docs/guides/index.md b/docs/guides/index.md
new file mode 100644
index 00000000..f8d5fcf1
--- /dev/null
+++ b/docs/guides/index.md
@@ -0,0 +1,42 @@
+# Guides
+
+
+:::{toctree}
+:maxdepth: 2
+:hidden:
+
+why-use-nemo-run
+configuration
+execution
+management
+ray
+cli
+:::
+
+Welcome to the NeMo-Run guides! This section provides comprehensive documentation on how to use NeMo-Run effectively for your machine learning experiments.
+
+## Get Started
+
+If you're new to NeMo-Run, we recommend starting with:
+
+- **[Why Use NeMo-Run?](why-use-nemo-run.md)** - Understand the benefits and philosophy behind NeMo-Run.
+- **[Configuration](configuration.md)** - Learn how to configure your ML tasks and experiments.
+- **[Execution](execution.md)** - Discover how to run your experiments across different computing environments.
+- **[Management](management.md)** - Master experiment tracking, reproducibility, and organization.
+
+## Advanced Topics
+
+For more advanced usage:
+
+- **[Ray Integration](ray.md)** - Learn how to use NeMo-Run with Ray for distributed computing.
+- **[CLI Reference](cli.md)** - Explore the command-line interface for NeMo-Run.
+
+## Core Concepts
+
+NeMo-Run is built around three core responsibilities:
+
+1. **Configuration** - Define your ML experiments using a flexible, Pythonic configuration system.
+1. **Execution** - Run your experiments seamlessly across local machines, Slurm clusters, cloud providers, and more.
+1. **Management** - Track, reproduce, and organize your experiments with built-in experiment management.
+
+Each guide dives deep into these concepts with practical examples and best practices. Choose a guide above to get started!
diff --git a/docs/source/guides/management.md b/docs/guides/management.md
similarity index 81%
rename from docs/source/guides/management.md
rename to docs/guides/management.md
index 5bccbb79..66a4f25e 100644
--- a/docs/source/guides/management.md
+++ b/docs/guides/management.md
@@ -1,8 +1,8 @@
-# Management
+# Manage NeMo-Run
 
-The central component for management of tasks in NeMo-Run is the `Experiment` class. It allows you to define, launch, and manage complex workflows consisting of multiple tasks. This guide provides an overview of the `Experiment` class, its methods, and how to use it effectively.
+The central component for the management of tasks in NeMo-Run is the `Experiment` class. It allows you to define, launch, and manage complex workflows consisting of multiple tasks. This guide provides an overview of the `Experiment` class, its methods, and how to use it effectively.
 
-## **Creating an Experiment**
+## Create an Experiment
 
 To create an experiment, you can instantiate the `Experiment` class by passing in a descriptive title:
 
@@ -12,13 +12,15 @@ exp = Experiment("My Experiment")
 
 When executed, it will automatically generate a unique experiment ID for you, which represents one unique run of the experiment.
 
-> [!NOTE] > `Experiment` is a context manager and `Experiment.add` and `Experiment.run` methods can currently only be used after entering the context manager.
+```{note}
+`Experiment` is a context manager and `Experiment.add` and `Experiment.run` methods can currently only be used after entering the context manager.
+```
 
-## **Adding Tasks**
+## Add Tasks
 
 You can add tasks to an experiment using the `add` method. This method supports tasks of the following kind:
 
-- A single task which is an instance of either `run.Partial` or `run.Script`, along with its executor.
+- A single task, which is an instance of either `run.Partial` or `run.Script`, along with its executor.
 
   ```python
   with exp:
@@ -50,7 +52,7 @@ with run.Experiment("dag-experiment", log_level="INFO") as exp:
    )
 ```
 
-## **Launching an Experiment**
+## Launch an Experiment
 
 Once you have added all tasks to an experiment, you can launch it using the `run` method. This method takes several optional arguments, including `detach`, `sequential`, and `tail_logs` and `direct`:
 
@@ -65,7 +67,7 @@ with exp:
     exp.run(detach=True, sequential=False, tail_logs=True, direct=False)
 ```
 
-## **Experiment Status**
+## Check Experiment Status
 
 You can check the status of an experiment using the `status` method:
 
@@ -73,7 +75,7 @@ You can check the status of an experiment using the `status` method:
 exp.status()
 ```
 
-This method will display information the status of each task in the experiment. The following is a sample output from the status of experiment in [hello_scripts.py](../../../examples/hello-world/hello_scripts.py):
+This method will display information about the status of each task in the experiment. The following is a sample output from the status of experiment in [hello_scripts.py](../../examples/hello-world/hello_scripts.py):
 
 ```bash
 Experiment Status for experiment_with_scripts_1730761155
@@ -97,7 +99,7 @@ Task 2: simple.add.add_object
 - Local Directory: /home/your_user/.nemo_run/experiments/experiment_with_scripts/experiment_with_scripts_1730761155/simple.add.add_object
 ```
 
-## **Canceling a Task**
+## Cancel a Task
 
 You can cancel a task using the `cancel` method:
 
@@ -105,7 +107,7 @@ You can cancel a task using the `cancel` method:
 exp.cancel("task_id")
 ```
 
-## **Viewing Logs**
+## View Logs
 
 You can view the logs of a task using the `logs` method:
 
@@ -113,7 +115,7 @@ You can view the logs of a task using the `logs` method:
 exp.logs("task_id")
 ```
 
-## **Experiment output**
+## Review Experiment Output
 
 Once an experiment is run, NeMo-Run displays information on ways to inspect and reproduce past experiments. This allows you to check logs, sync artifacts (in the future), cancel running tasks, and rerun an old experiment.
 
@@ -135,4 +137,4 @@ nemorun experiment cancel experiment_with_scripts_1720556256 0
 
 This information is specific to each experiment on how to manage it.
 
-See [this notebook](../../../examples/hello-world/hello_experiments.ipynb) for more details and a playable experience.
+See [this notebook](https://github.com/NVIDIA-NeMo/Run/blob/main/examples/hello-world/hello_experiments.ipynb) for more details and a playable experience.
diff --git a/docs/source/guides/ray.md b/docs/guides/ray.md
similarity index 100%
rename from docs/source/guides/ray.md
rename to docs/guides/ray.md
diff --git a/docs/source/guides/why-use-nemo-run.md b/docs/guides/why-use-nemo-run.md
similarity index 100%
rename from docs/source/guides/why-use-nemo-run.md
rename to docs/guides/why-use-nemo-run.md
diff --git a/docs/index.md b/docs/index.md
new file mode 100644
index 00000000..db5ca539
--- /dev/null
+++ b/docs/index.md
@@ -0,0 +1,86 @@
+# NeMo-Run Documentation
+
+
+NeMo-Run is a powerful tool designed to streamline the configuration, execution and management of Machine Learning experiments across various computing environments. NeMo Run has three core responsibilities:
+
+1. [Configuration](guides/configuration.md)
+1. [Execution](guides/execution.md)
+1. [Management](guides/management.md)
+
+Please click into each link to learn more.
+This is also the typical order Nemo Run users will follow to setup and launch experiments.
+
+## Install the Project
+
+To install the project, use the following command:
+
+```bash
+ip install git+https://github.com/NVIDIA-NeMo/Run.git
+```
+
+To install Skypilot with optional features, use one of the following commands:
+
+- To install Skypilot with Kubernetes support:
+
+  ```bash
+  pip install git+https://github.com/NVIDIA-NeMo/Run.git[skypilot]
+  ```
+
+- To install Skypilot with support for all cloud platforms:
+
+  ```bash
+  pip install git+https://github.com/NVIDIA-NeMo/Run.git[skypilot-all]
+  ```
+
+You can also manually install Skypilot from https://skypilot.readthedocs.io/en/latest/getting-started/installation.html
+
+If using DGX Cloud Lepton, use the following command to install the Lepton CLI:
+
+```bash
+pip install leptonai
+```
+
+To authenticate with the DGX Cloud Lepton cluster, navigate to the **Settings > Tokens** page in the DGX Cloud Lepton UI and copy the ``lep login`` command shown on the page and run it in the terminal.
+
+Make sure you have ``pip`` installed and configured properly.
+
+
+## Tutorials
+
+
+The ``hello_world`` tutorial series provides a comprehensive introduction to NeMo-Run, demonstrating its capabilities through a simple example. The tutorial covers:
+
+- Configuring Python functions using ``Partial`` and ``Config`` classes.
+- Executing configured functions locally and on remote clusters.
+- Visualizing configurations with ``graphviz``.
+- Creating and managing experiments using ``run.Experiment``.
+
+You can find the tutorial series below:
+
+1. [Part 1: Hello World](https://github.com/NVIDIA-NeMo/Run/blob/main/examples/hello-world/hello_world.ipynb)
+1. [Part 2: Hello Experiments](https://github.com/NVIDIA-NeMo/Run/blob/main/examples/hello-world/hello_experiments.ipynb)
+1. [Part 3: Hello Scripts](https://github.com/NVIDIA-NeMo/Run/blob/main/examples/hello-world/hello_scripts.py)
+
+
+:::{toctree}
+:hidden:
+Home <self>
+:::
+
+:::{toctree}
+:caption: Get Started
+:maxdepth: 2
+:hidden:
+
+guides/index
+
+:::
+
+:::{toctree}
+:hidden:
+:caption: Reference
+:maxdepth: 2
+
+faqs
+API Reference <api/nemo_run/index>
+:::
diff --git a/docs/project.json b/docs/project.json
new file mode 100644
index 00000000..6c78e9bb
--- /dev/null
+++ b/docs/project.json
@@ -0,0 +1 @@
+{"name": "NeMo-Run", "version": "0.5.0"}
diff --git a/docs/source/conf.py b/docs/source/conf.py
deleted file mode 100644
index 136fdb38..00000000
--- a/docs/source/conf.py
+++ /dev/null
@@ -1,81 +0,0 @@
-# Configuration file for the Sphinx documentation builder.
-#
-# For the full list of built-in configuration values, see the documentation:
-# https://www.sphinx-doc.org/en/master/usage/configuration.html
-
-# -- Project information -----------------------------------------------------
-# https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
-
-import sys
-from pathlib import Path
-
-sys.path.append(str(Path("../../examples").resolve()))
-
-project = "NeMo-Run"
-copyright = "2025, NVIDIA"
-author = "NVIDIA"
-release = "0.1.0"
-
-# -- General configuration ---------------------------------------------------
-# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
-
-extensions = [
-    "myst_parser",
-    "autoapi.extension",
-    "sphinx.ext.autodoc",
-    "sphinx.ext.doctest",
-    "sphinx.ext.intersphinx",
-    "sphinx.ext.todo",
-    "sphinx.ext.coverage",
-    "sphinx.ext.mathjax",
-    "sphinx.ext.ifconfig",
-    "sphinx.ext.viewcode",
-    "sphinx.ext.githubpages",
-    "sphinx.ext.napoleon",
-    "sphinxcontrib.mermaid",
-]
-
-templates_path = ["_templates"]
-exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"]
-python_maximum_signature_line_length = 88
-
-# Autoapi settings
-autoapi_generate_api_docs = True
-autoapi_keep_files = False
-autoapi_add_toctree_entry = False
-autoapi_type = "python"
-autoapi_dirs = ["../../nemo_run"]
-autoapi_file_pattern = "*.py"
-autoapi_root = "api"
-autoapi_options = [
-    "members",
-    "show-inheritance",
-    "show-module-summary",
-    "special-members",
-    "imported-members",
-]
-
-# Autodoc settings
-autodoc_typehints = "signature"
-
-# MyST settings
-myst_heading_anchors = 3
-myst_fence_as_directive = ["mermaid"]
-
-# Napoleon settings
-napoleon_google_docstring = True
-napoleon_numpy_docstring = True
-napoleon_include_init_with_doc = True
-napoleon_include_private_with_doc = True
-napoleon_include_special_with_doc = True
-napoleon_use_admonition_for_examples = False
-napoleon_use_admonition_for_notes = False
-napoleon_use_admonition_for_references = False
-napoleon_use_ivar = False
-napoleon_use_param = True
-napoleon_use_rtype = True
-
-# -- Options for HTML output -------------------------------------------------
-# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output
-
-html_theme = "nvidia_sphinx_theme"
diff --git a/docs/source/guides/index.rst b/docs/source/guides/index.rst
deleted file mode 100644
index f2dacf22..00000000
--- a/docs/source/guides/index.rst
+++ /dev/null
@@ -1,12 +0,0 @@
-Guides
-=================
-
-.. toctree::
-   :maxdepth: 2
-
-   configuration
-   execution
-   management
-   why-use-nemo-run
-   ray
-   cli
diff --git a/docs/source/index.rst b/docs/source/index.rst
deleted file mode 100644
index 6692d020..00000000
--- a/docs/source/index.rst
+++ /dev/null
@@ -1,64 +0,0 @@
-.. NeMo-Run documentation master file, created by
-   sphinx-quickstart on Thu Jul 25 17:57:46 2024.
-   You can adapt this file completely to your liking, but it should at least
-   contain the root `toctree` directive.
-
-NeMo-Run documentation
-======================
-
-NeMo-Run is a powerful tool designed to streamline the configuration, execution and management of Machine Learning experiments across various computing environments. NeMo Run has three core responsibilities:
-
-1. `Configuration <./guides/configuration.html>`_
-2. `Execution <./guides/execution.html>`_
-3. `Management <./guides/management.html>`_
-
-Please click into each link to learn more.
-This is also the typical order Nemo Run users will follow to setup and launch experiments.
-
-.. toctree::
-   :maxdepth: 1
-
-   guides/index.rst
-   API Reference <api/nemo_run/index>
-   faqs
-
-Installation
-------------
-To install the project, use the following command:
-
-``pip install git+https://github.com/NVIDIA-NeMo/Run.git``
-
-To install Skypilot, we have optional features available.
-
-``pip install git+https://github.com/NVIDIA-NeMo/Run.git[skypilot]``
-will install Skypilot w Kubernetes
-
-``pip install git+https://github.com/NVIDIA-NeMo/Run.git[skypilot-all]``
-will install Skypilot w all clouds
-
-You can also manually install Skypilot from https://skypilot.readthedocs.io/en/latest/getting-started/installation.html
-
-If using DGX Cloud Lepton, use the following command to install the Lepton CLI:
-
-``pip install leptonai``
-
-To authenticate with the DGX Cloud Lepton cluster, navigate to the **Settings > Tokens** page in the DGX Cloud Lepton UI and copy the ``lep login`` command shown on the page and run it in the terminal.
-
-Make sure you have `pip` installed and configured properly.
-
-
-Tutorials
----------
-
-The ``hello_world`` tutorial series provides a comprehensive introduction to NeMo Run, demonstrating its capabilities through a simple example. The tutorial covers:
-
-- Configuring Python functions using ``Partial`` and ``Config`` classes.
-- Executing configured functions locally and on remote clusters.
-- Visualizing configurations with ``graphviz``.
-- Creating and managing experiments using ``run.Experiment``.
-
-You can find the tutorial series below:
-
-1. `Part 1 <../../../NeMo-Run/examples/hello-world/hello_world.ipynb>`
-2. `Part 2 <../../../NeMo-Run/examples/hello-world/hello_experiments.ipynb>`
-3. `Part 3 <../../../NeMo-Run/examples/hello-world/hello_scripts.py>`
diff --git a/docs/versions1.json b/docs/versions1.json
new file mode 100644
index 00000000..643e185c
--- /dev/null
+++ b/docs/versions1.json
@@ -0,0 +1,7 @@
+[
+    {
+        "preferred": true,
+        "version": "0.5.0",
+        "url": "http://docs.nvidia.com/nemo/run/0.5.0"
+    }
+]
diff --git a/examples/dgxcloud/sft-finetune/convert.sh b/examples/dgxcloud/sft-finetune/convert.sh
new file mode 100644
index 00000000..5ae284c4
--- /dev/null
+++ b/examples/dgxcloud/sft-finetune/convert.sh
@@ -0,0 +1,7 @@
+#!/bin/bash
+
+torchrun /opt/NeMo/scripts/checkpoint_converters/convert_llama_nemo_to_hf.py \
+--input_name_or_path /demo-workspace/llama3.1-70b-daring-anteater-sft/checkpoints/megatron_gpt_sft.nemo \
+--output_path /demo-workspace/llama-output-weights.bin \
+--hf_input_path /demo-workspace/Meta-Llama-3.1-70B \
+--hf_output_path /demo-workspace/sft-llama-3.1-hf
diff --git a/examples/dgxcloud/sft-finetune/finetune-llama3.1-70b-sft.ipynb b/examples/dgxcloud/sft-finetune/finetune-llama3.1-70b-sft.ipynb
new file mode 100644
index 00000000..dc619df8
--- /dev/null
+++ b/examples/dgxcloud/sft-finetune/finetune-llama3.1-70b-sft.ipynb
@@ -0,0 +1,285 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Finetune HF Llama 3.1 70b and Deploy on AWS Bedrock\n",
+    "\n",
+    "This notebook has the following steps: \n",
+    "\n",
+    "1. imports and converts [Llama 3.1 70b](https://huggingface.co/meta-llama/Meta-Llama-3-8B) from Hugging Face transformer file format to .nemo file format\n",
+    "\n",
+    "    Note: you will need to create a HuggingFace account and request access to the model\n",
+    "\n",
+    "2. Supervised Fine Tuning (SFT) using the NeMo framework on the [NVIDIA Daring-Anteater dataset](https://huggingface.co/datasets/nvidia/Daring-Anteater), a comprehensive dataset for instruction tuning\n",
+    "\n",
+    "3. Move your finetuned model to AWS S3 for use with AWS Bedrock Custom Model Import"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Convert Hugging Face Model to NeMo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true,
+    "jupyter": {
+     "outputs_hidden": true
+    },
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "!pip install ipywidgets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import huggingface_hub\n",
+    "\n",
+    "# Set your Hugging Face access token\n",
+    "huggingface_hub.login(\"<HF_TOKEN>\")\n",
+    "os.makedirs(\"/demo-workspace/Meta-Llama-3.1-70B\", exist_ok=True)\n",
+    "huggingface_hub.snapshot_download(\n",
+    "    repo_id=\"meta-llama/Llama-3.1-70B\", repo_type=\"model\", local_dir=\"Meta-Llama-3.1-70B\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "%%bash\n",
+    "# clear any previous temporary weights dir if any\n",
+    "rm -r model_weights\n",
+    "\n",
+    "#converter script from NeMo\n",
+    "python /opt/NeMo/scripts/checkpoint_converters/convert_llama_hf_to_nemo.py \\\n",
+    "  --precision bf16 \\\n",
+    "  --input_name_or_path=/demo-workspace/Meta-Llama-3.1-70B \\\n",
+    "  --output_path=/demo-workspace/Meta-Llama-3.1-70B.nemo \\\n",
+    "  --llama31 True"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Import and Configure Dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%bash\n",
+    "\n",
+    "mkdir /demo-workspace/datasets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from datasets import load_dataset\n",
+    "import json\n",
+    "\n",
+    "dataset = load_dataset(\"nvidia/daring-anteater\")\n",
+    "\n",
+    "for split, shard in dataset.items():\n",
+    "    length = len(shard)\n",
+    "    train_limit = length * 0.85\n",
+    "    with open(\"/demo-workspace/datasets/daring-anteater-train.jsonl\", \"w\") as train:\n",
+    "        with open(\"/demo-workspace/datasets/daring-anteater-val.jsonl\", \"w\") as val:\n",
+    "            for count, line in enumerate(shard):\n",
+    "                desired_data = {\n",
+    "                    \"system\": line[\"system\"],\n",
+    "                    \"conversations\": line[\"conversations\"],\n",
+    "                    \"mask\": line[\"mask\"],\n",
+    "                    \"type\": \"TEXT_TO_VALUE\",\n",
+    "                }\n",
+    "                if count < train_limit:\n",
+    "                    json.dump(desired_data, train)\n",
+    "                    train.write(\"\\n\")\n",
+    "                else:\n",
+    "                    json.dump(desired_data, val)\n",
+    "                    val.write(\"\\n\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Finetuning"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%bash\n",
+    "\n",
+    "chmod +x /demo-workspace/sft-finetune-llama3.1-70b.sh\n",
+    "ls -l /demo-workspace/sft-finetune-llama3.1-70b.sh"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import nemo_run as run\n",
+    "\n",
+    "\n",
+    "def dgxc_executor(nodes: int = 1, devices: int = 1) -> run.DGXCloudExecutor:\n",
+    "    pvcs = [\n",
+    "        {\n",
+    "            \"name\": \"workspace\",  # Default name to identify the PVC\n",
+    "            \"path\": \"/demo-workspace\",  # Directory where PVC will be mounted in pods\n",
+    "            \"existingPvc\": True,  # The PVC already exists\n",
+    "            \"claimName\": \"llama-3-1-70b-pvc-project-ax4ia\",  # Replace with the name of the PVC to use\n",
+    "        }\n",
+    "    ]\n",
+    "\n",
+    "    return run.DGXCloudExecutor(\n",
+    "        base_url=\"https://tme-aws.nv.run.ai/api/v1\",  # Base URL to send API requests\n",
+    "        app_id=\"aws-app\",  # Name of the Application\n",
+    "        app_secret=\"<APP_SECRET>\",  # Application secret token\n",
+    "        project_name=\"aws-demo-project\",  # Name of the project within Run:ai\n",
+    "        nodes=nodes,  # Number of nodes to run on\n",
+    "        gpus_per_node=devices,  # Number of processes per node to use\n",
+    "        container_image=\"nvcr.io/nvidia/nemo:25.02\",  # Which container to deploy\n",
+    "        pvcs=pvcs,  # Attach the PVC(s) to the pod\n",
+    "        launcher=\"torchrun\",  # Use torchrun to launch the processes\n",
+    "        env_vars={\n",
+    "            \"PYTHONPATH\": \"/demo-workspace/nemo-run:$PYTHONPATH\",  # Add the NeMo-Run directory to the PYTHONPATH\n",
+    "            \"HF_TOKEN\": \"<HF_TOKEN>\",  # Add your Hugging Face API token here\n",
+    "            \"FI_EFA_USE_HUGE_PAGE\": \"0\",\n",
+    "            \"TORCH_HOME\": \"/demo-workspace/.cache\",\n",
+    "            \"NEMORUN_HOME\": \"/demo-workspace/nemo-run\",\n",
+    "            \"OMP_NUM_THREADS\": \"1\",\n",
+    "        },\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "executor = dgxc_executor(nodes=4, devices=8)\n",
+    "run.config.set_nemorun_home(\"/demo-workspace/nemo-run\")\n",
+    "\n",
+    "with run.Experiment(\"sft-finetuning\") as exp:\n",
+    "    exp.add(run.Script(\"/demo-workspace/sft-finetune-llama3.1-70b.sh\"), executor=executor)\n",
+    "\n",
+    "    # Launch the experiment on the cluster\n",
+    "    exp.run(sequential=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Import Model to AWS S3\n",
+    "\n",
+    "To prepare the model for use with BedRock, we must first convert our finetuned model weights back to HF safetensors. The model and the original llama 3.0 tokens will then be sent to your S3 bucket. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "%%bash\n",
+    "\n",
+    "python /opt/NeMo/scripts/checkpoint_converters/convert_llama_nemo_to_hf.py \\\n",
+    "--input_name_or_path /demo-workspace/llama3.1-70b-daring-anteater-sft/checkpoints/megatron_gpt_sft.nemo \\\n",
+    "--output_path /demo-workspace/llama-output-weights.bin \\\n",
+    "--hf_input_path /demo-workspace/Meta-Llama-3.1-70B \\\n",
+    "--hf_output_path /demo-workspace/sft-llama-3.1-hf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "vscode": {
+     "languageId": "plaintext"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%%bash\n",
+    "\n",
+    "export BUCKET_NAME=hf-llama3-1-70b\n",
+    "\n",
+    "export AWS_ACCESS_KEY_ID=<AWS_ACCESS_KEY_ID>\n",
+    "export AWS_SECRET_ACCESS_KEY=<AWS_SECRET_ACCESS_KEY>\n",
+    "./s5cmd cp /demo-workspace/sft-llama-3.1-hf s3://$BUCKET_NAME\n",
+    "\n",
+    "./s5cmd cp /demo-workspace/Meta-Llama-3.1-70B/tokenizer.json s3://$BUCKET_NAME/sft-llama-3.1-hf/\n",
+    "./s5cmd cp /demo-workspace/Meta-Llama-3.1-70B/tokenizer_config.json s3://$BUCKET_NAME/sft-llama-3.1-hf/\n",
+    "./s5cmd cp /demo-workspace/Meta-Llama-3.1-70B/original/tokenizer.model s3://$BUCKET_NAME/sft-llama-3.1-hf/"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To run with BedRock, go to the Custom Model import feature and load your model from your S3 bucket. Once the model is ready, it can directly be used for your production inference. "
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/examples/dgxcloud/sft-finetune/sft-finetune-llama3.1-70b.sh b/examples/dgxcloud/sft-finetune/sft-finetune-llama3.1-70b.sh
new file mode 100644
index 00000000..cdb2c4ca
--- /dev/null
+++ b/examples/dgxcloud/sft-finetune/sft-finetune-llama3.1-70b.sh
@@ -0,0 +1,46 @@
+#!/bin/bash
+
+# Set paths to the model, train, validation and test sets.
+MODEL="/demo-workspace/Meta-Llama-3.1-70B.nemo"
+TRAIN_DS="/demo-workspace/datasets/daring-anteater-train.jsonl"
+VALID_DS="/demo-workspace/datasets/daring-anteater-val.jsonl"
+TEST_DS="/demo-workspace/datasets/daring-anteater-val.jsonl"
+TEST_NAMES="[daring-anteater]"
+
+SCHEME="none"  # SFT is none
+TP_SIZE=4
+PP_SIZE=4
+
+OUTPUT_DIR="/demo-workspace/llama3.1-70b-daring-anteater-sft"
+
+export HYDRA_FULL_ERROR=1
+
+torchrun /opt/NeMo-Aligner/examples/nlp/gpt/train_gpt_sft.py \
+   trainer.precision=bf16 \
+   trainer.num_nodes=4 \
+   trainer.devices=8 \
+   trainer.sft.max_steps=-1 \
+   trainer.sft.limit_val_batches=40 \
+   trainer.sft.val_check_interval=1000 \
+   model.megatron_amp_O2=True \
+   model.restore_from_path=${MODEL} \
+   model.optim.lr=5e-6 \
+   model.tensor_model_parallel_size=${TP_SIZE} \
+   model.pipeline_model_parallel_size=${PP_SIZE} \
+   model.context_parallel_size=2 \
+   model.data.chat=True \
+   model.data.num_workers=0 \
+   model.data.train_ds.micro_batch_size=1 \
+   model.data.train_ds.global_batch_size=32 \
+   model.data.train_ds.max_seq_length=8192 \
+   model.data.train_ds.file_path=${TRAIN_DS} \
+   model.data.validation_ds.micro_batch_size=1 \
+   model.data.validation_ds.global_batch_size=4 \
+   model.data.validation_ds.file_path=${VALID_DS} \
+   model.data.validation_ds.max_seq_length=8192 \
+   exp_manager.create_wandb_logger=False \
+   exp_manager.explicit_log_dir=${OUTPUT_DIR} \
+   exp_manager.checkpoint_callback_params.save_nemo_on_train_end=True \
+   exp_manager.checkpoint_callback_params.save_top_k=1 \
+   exp_manager.checkpoint_callback_params.monitor=val_loss
+
diff --git a/examples/docker/hello_docker.py b/examples/docker/hello_docker.py
index 3e97d482..b2cd71ff 100644
--- a/examples/docker/hello_docker.py
+++ b/examples/docker/hello_docker.py
@@ -1,3 +1,18 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import nemo_run as run
 
 if __name__ == "__main__":
diff --git a/examples/entrypoint/experiment.py b/examples/entrypoint/experiment.py
index 3e341957..465449cd 100644
--- a/examples/entrypoint/experiment.py
+++ b/examples/entrypoint/experiment.py
@@ -1,3 +1,18 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 from dataclasses import dataclass
 from typing import List
 
diff --git a/examples/entrypoint/task.py b/examples/entrypoint/task.py
index ac89c713..7e637c2c 100644
--- a/examples/entrypoint/task.py
+++ b/examples/entrypoint/task.py
@@ -1,3 +1,18 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 from dataclasses import dataclass
 from typing import List
 
diff --git a/examples/entrypoint/task_with_defaults.py b/examples/entrypoint/task_with_defaults.py
index aaebabf3..aa9e3c83 100644
--- a/examples/entrypoint/task_with_defaults.py
+++ b/examples/entrypoint/task_with_defaults.py
@@ -1,3 +1,18 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 from dataclasses import dataclass
 from typing import List
 
diff --git a/nemo_run/__init__.py b/nemo_run/__init__.py
index 07755c2c..04f56916 100644
--- a/nemo_run/__init__.py
+++ b/nemo_run/__init__.py
@@ -29,6 +29,7 @@
 from nemo_run.core.execution.local import LocalExecutor
 from nemo_run.core.execution.skypilot import SkypilotExecutor
 from nemo_run.core.execution.slurm import SlurmExecutor
+from nemo_run.core.execution.skypilot_jobs import SkypilotJobsExecutor
 from nemo_run.core.packaging import GitArchivePackager, HybridPackager, Packager, PatternPackager
 from nemo_run.core.tunnel.client import LocalTunnel, SSHTunnel
 from nemo_run.devspace.base import DevSpace
@@ -68,6 +69,7 @@
     "run",
     "Script",
     "SkypilotExecutor",
+    "SkypilotJobsExecutor",
     "SlurmExecutor",
     "SSHTunnel",
     "Torchrun",
diff --git a/nemo_run/cli/lazy.py b/nemo_run/cli/lazy.py
index efee05b6..f6785dbb 100644
--- a/nemo_run/cli/lazy.py
+++ b/nemo_run/cli/lazy.py
@@ -1,3 +1,18 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import ast
 import builtins
 import contextlib
diff --git a/nemo_run/core/execution/dgxcloud.py b/nemo_run/core/execution/dgxcloud.py
index b8b64528..1973d7f8 100644
--- a/nemo_run/core/execution/dgxcloud.py
+++ b/nemo_run/core/execution/dgxcloud.py
@@ -1,3 +1,18 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import base64
 import json
 import logging
diff --git a/nemo_run/core/execution/docker.py b/nemo_run/core/execution/docker.py
index 4de7433d..14d9774c 100644
--- a/nemo_run/core/execution/docker.py
+++ b/nemo_run/core/execution/docker.py
@@ -276,9 +276,12 @@ def run(self, client: "DockerClient", id: str) -> "Container":
 
         container_kwargs.update(self.executor.additional_kwargs)
         assert self.executor.experiment_id
-        tee_cmd = f" 2>&1 | tee -a /{RUNDIR_NAME}/log_{self.name}.out"
+        tee_cmd = f" 2>&1 | tee -a /{RUNDIR_NAME}/log_{self.name}.out; "
+        save_status_cmd = r"export EXIT_CODE=${PIPESTATUS[0]}; "
+        save_status_cmd += f'printf \'{{\\"id\\": \\"{id}\\", \\"exit_code\\": \\"%s\\"}}\\n\' "$EXIT_CODE" > /{RUNDIR_NAME}/status_{self.name}.out; exit $EXIT_CODE;'
+
         command = " ".join(self.command)
-        command = f'bash -c "{command}{tee_cmd}"'
+        command = f'bash -c "{command}{tee_cmd}{save_status_cmd}"'
 
         ensure_network(client=client, network=self.executor.network)
         return client.containers.run(
@@ -287,7 +290,7 @@ def run(self, client: "DockerClient", id: str) -> "Container":
             detach=True,
             remove=True,
             name=self.name,
-            hostname=self.name,
+            hostname=self.name[-32:],
             network=self.executor.network,
             working_dir=f"/{RUNDIR_NAME}/code",
             labels={
diff --git a/nemo_run/core/execution/launcher.py b/nemo_run/core/execution/launcher.py
index 7e6c14a8..d994a86c 100644
--- a/nemo_run/core/execution/launcher.py
+++ b/nemo_run/core/execution/launcher.py
@@ -1,3 +1,18 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import os
 import pathlib
 from dataclasses import dataclass, field
diff --git a/nemo_run/core/execution/lepton.py b/nemo_run/core/execution/lepton.py
index f3cd2c92..3f3c33dc 100644
--- a/nemo_run/core/execution/lepton.py
+++ b/nemo_run/core/execution/lepton.py
@@ -1,3 +1,18 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import base64
 import logging
 import os
@@ -17,10 +32,16 @@
 from leptonai.api.v1.types.dedicated_node_group import DedicatedNodeGroup
 from leptonai.api.v1.types.deployment import (
     EnvVar,
+    EnvValue,
     LeptonContainer,
     Mount,
 )
-from leptonai.api.v1.types.job import LeptonJob, LeptonJobState, LeptonJobUserSpec
+from leptonai.api.v1.types.job import (
+    LeptonJob,
+    LeptonJobState,
+    LeptonJobUserSpec,
+    ReservationConfig,
+)
 from leptonai.api.v1.types.replica import Replica
 
 from nemo_run.config import get_nemorun_home
@@ -51,9 +72,18 @@ class LeptonExecutor(Executor):
     shared_memory_size: int = 65536
     resource_shape: str = ""
     node_group: str = ""
+<<<<<<< HEAD
+    secret_vars: dict[str, str] = field(default_factory=dict)
+=======
+    node_reservation: str = ""
+>>>>>>> 1adb499 (Add node reservations for LeptonExecutor (#336))
     mounts: list[dict[str, Any]] = field(default_factory=list)
     lepton_job_dir: str = field(init=False, default="")
+    image_pull_secrets: list[str] = field(
+        default_factory=list
+    )  # Image pull secrets for container registry authentication
     custom_spec: dict[str, Any] = field(default_factory=dict)
+    pre_launch_commands: list[str] = field(default_factory=list)  # Custom commands before launch
 
     def stop_job(self, job_id: str):
         """
@@ -82,7 +112,13 @@ def copy_directory_data_command(self, local_dir_path: str, dest_path: str) -> Li
             full_command = ["sh", "-c", cmd]
             return full_command
 
-    def move_data(self, sleep: float = 10, timeout: int = 600, poll_interval: int = 5) -> None:
+    def move_data(
+        self,
+        sleep: float = 10,
+        timeout: int = 600,
+        poll_interval: int = 5,
+        unknowns_grace_period: int = 60,
+    ) -> None:
         """
         Moves job directory into remote storage and deletes the workload after completion.
         """
@@ -121,20 +157,39 @@ def move_data(self, sleep: float = 10, timeout: int = 600, poll_interval: int =
         job_id = response.metadata.id_
 
         start_time = time.time()
-        count = 0
 
         while True:
             if time.time() - start_time > timeout:
                 raise TimeoutError(f"Job {job_id} did not complete within {timeout} seconds.")
+
             current_job = client.job.get(job_id)
             current_job_status = current_job.status.state
-            if count > 0 and current_job_status in [
-                LeptonJobState.Completed,
-                LeptonJobState.Failed,
-                LeptonJobState.Unknown,
-            ]:
+            if (
+                current_job_status == LeptonJobState.Completed
+                or current_job_status == LeptonJobState.Failed
+            ):
                 break
-            count += 1
+            elif current_job_status == LeptonJobState.Unknown:
+                logging.warning(
+                    f"Job {job_id} entered Unknown state, checking for up to {unknowns_grace_period} seconds every 2 seconds..."
+                )
+                unknown_start_time = time.time()
+                recovered = False
+                while time.time() - unknown_start_time < unknowns_grace_period:
+                    time.sleep(2)
+                    current_job = client.job.get(job_id)
+                    current_job_status = current_job.status.state
+                    if current_job_status != LeptonJobState.Unknown:
+                        logging.info(
+                            f"Job {job_id} recovered from Unknown state to {current_job_status}"
+                        )
+                        recovered = True
+                        break
+                if not recovered:
+                    logging.error(
+                        f"Job {job_id} has been in Unknown state for more than {unknowns_grace_period} seconds"
+                    )
+                    break
             time.sleep(poll_interval)
 
         if current_job_status != LeptonJobState.Completed:
@@ -198,6 +253,8 @@ def create_lepton_job(self, name: str):
         client = APIClient()
 
         envs = [EnvVar(name=key, value=value) for key, value in self.env_vars.items()]
+        for key, value in self.secret_vars.items():
+            envs.append(EnvVar(name=key, value_from=EnvValue(secret_name_ref=value)))
 
         cmd = ["/bin/bash", "-c", f"bash {self.lepton_job_dir}/launch_script.sh"]
 
@@ -223,7 +280,7 @@ def create_lepton_job(self, name: str):
             max_job_failure_retry=None,
             envs=envs,
             mounts=[Mount(**mount) for mount in self.mounts],
-            image_pull_secrets=[],
+            image_pull_secrets=self.image_pull_secrets,
             ttl_seconds_after_finished=None,
             intra_job_communication=True,
             privileged=False,
@@ -231,8 +288,12 @@ def create_lepton_job(self, name: str):
             log=None,
             queue_config=None,
             stopped=None,
-            reservation_config=None,
         )
+
+        if self.node_reservation:
+            job_spec.reservation_config = ReservationConfig(reservation_id=self.node_reservation)
+            job_spec.reservation_config.reservation_id = self.node_reservation
+
         job = LeptonJob(spec=job_spec, metadata=Metadata(id=name))
 
         created_job = client.job.create(job)
@@ -244,8 +305,14 @@ def launch(self, name: str, cmd: list[str]) -> tuple[str, str]:
         if len(name) > 35:
             logger.warning("length of name exceeds 35 characters. Shortening...")
             name = name[:34]
+
+        # Build pre-launch commands section
+        pre_launch_section = ""
+        if self.pre_launch_commands:
+            pre_launch_section = "\n".join(self.pre_launch_commands) + "\n"
+
         launch_script = f"""
-wget -O init.sh https://raw.githubusercontent.com/leptonai/scripts/main/lepton_env_to_pytorch.sh
+{pre_launch_section}wget -O init.sh https://raw.githubusercontent.com/leptonai/scripts/main/lepton_env_to_pytorch.sh
 chmod +x init.sh
 source init.sh
 ln -s {self.lepton_job_dir}/ /nemo_run
diff --git a/nemo_run/core/execution/skypilot.py b/nemo_run/core/execution/skypilot.py
index 9e0d01a9..4320f074 100644
--- a/nemo_run/core/execution/skypilot.py
+++ b/nemo_run/core/execution/skypilot.py
@@ -27,7 +27,6 @@
     Executor,
     ExecutorMacros,
 )
-from nemo_run.core.execution.launcher import FaultTolerance, Torchrun
 from nemo_run.core.packaging.base import Packager
 from nemo_run.core.packaging.git import GitArchivePackager
 
@@ -35,8 +34,8 @@
 try:
     import sky
     import sky.task as skyt
-    from sky.utils import status_lib
     from sky import backends
+    from sky.utils import status_lib
 
     _SKYPILOT_AVAILABLE = True
 except ImportError:
@@ -62,10 +61,26 @@ class SkypilotExecutor(Executor):
             gpus="A10G",
             gpus_per_node=devices,
             container_image="nvcr.io/nvidia/nemo:dev",
-            cloud="kubernetes",
+            infra="k8s/my-context",
+            network_tier="best",
             cluster_name="nemo_tester",
             file_mounts={
-                "nemo_run.whl": "nemo_run.whl"
+                "nemo_run.whl": "nemo_run.whl",
+                "/workspace/code": "/local/path/to/code",
+            },
+            storage_mounts={
+                "/workspace/outputs": {
+                    "name": "my-training-outputs",
+                    "store": "gcs",  # or "s3", "azure", etc.
+                    "mode": "MOUNT",
+                    "persistent": True,
+                },
+                "/workspace/checkpoints": {
+                    "name": "model-checkpoints",
+                    "store": "s3",
+                    "mode": "MOUNT",
+                    "persistent": True,
+                }
             },
             setup=\"\"\"
         conda deactivate
@@ -99,12 +114,16 @@ class SkypilotExecutor(Executor):
     disk_tier: Optional[Union[str, list[str]]] = None
     ports: Optional[tuple[str]] = None
     file_mounts: Optional[dict[str, str]] = None
+    storage_mounts: Optional[dict[str, dict[str, Any]]] = None  # Can be str or dict configs
     cluster_name: Optional[str] = None
     setup: Optional[str] = None
     autodown: bool = False
     idle_minutes_to_autostop: Optional[int] = None
     torchrun_nproc_per_node: Optional[int] = None
     cluster_config_overrides: Optional[dict[str, Any]] = None
+    infra: Optional[str] = None
+    network_tier: Optional[str] = None
+    retry_until_up: bool = False
     packager: Packager = field(default_factory=lambda: GitArchivePackager())  # type: ignore  # noqa: F821
 
     def __post_init__(self):
@@ -114,6 +133,13 @@ def __post_init__(self):
         assert isinstance(self.packager, GitArchivePackager), (
             "Only GitArchivePackager is currently supported for SkypilotExecutor."
         )
+        if self.infra is not None:
+            assert self.cloud is None, "Cannot specify both `infra` and `cloud` parameters."
+            assert self.region is None, "Cannot specify both `infra` and `region` parameters."
+            assert self.zone is None, "Cannot specify both `infra` and `zone` parameters."
+            logger.info(
+                "`cloud` is deprecated and will be removed in a future version. Use `infra` instead."
+            )
 
     @classmethod
     def parse_app(cls: Type["SkypilotExecutor"], app_id: str) -> tuple[str, str, int]:
@@ -173,6 +199,8 @@ def parse_attr(attr: str):
             "memory",
             "instance_type",
             "use_spot",
+            "infra",
+            "network_tier",
             "image_id",
             "disk_size",
             "disk_tier",
@@ -330,18 +358,6 @@ def macro_values(self) -> Optional[ExecutorMacros]:
             het_group_host_var=self.HET_GROUP_HOST_VAR,
         )
 
-    def _setup_launcher(self):
-        super()._setup_launcher()
-        launcher = self.launcher
-        # Dynamic rendezvous has an error in Skypilot Kubernetes currently
-        if (
-            launcher
-            and isinstance(launcher, (Torchrun, FaultTolerance))
-            and self.cloud == "kubernetes"
-        ):
-            launcher.rdzv_backend = "static"
-            launcher.rdzv_port = 49500
-
     def to_task(
         self,
         name: str,
@@ -372,9 +388,22 @@ def to_task(
             envs=self.env_vars,
             num_nodes=self.num_nodes,
         )
+        # Handle regular file mounts
         file_mounts = self.file_mounts or {}
         file_mounts["/nemo_run"] = self.job_dir
-        task.set_file_mounts(self.file_mounts)
+        task.set_file_mounts(file_mounts)
+
+        # Handle storage mounts separately
+        if self.storage_mounts:
+            from sky.data import Storage
+
+            storage_objects = {}
+            for mount_path, config in self.storage_mounts.items():
+                # Create Storage object from config dict
+                storage_obj = Storage.from_yaml_config(config)
+                storage_objects[mount_path] = storage_obj
+            task.set_storage_mounts(storage_objects)
+
         task.set_resources(self.to_resources())
 
         if env_vars:
@@ -390,11 +419,17 @@ def launch(
         dryrun: bool = False,
     ) -> tuple[Optional[int], Optional["backends.ResourceHandle"]]:
         from sky import backends, launch, stream_and_get
-        from sky.utils import common_utils
+
+        # Backward compatibility for SkyPilot 0.10.3+
+        # dump_yaml_str moved from sky.utils.common_utils to yaml_utils
+        try:
+            from sky.utils import yaml_utils
+        except ImportError:
+            from sky.utils import common_utils as yaml_utils
 
         task_yml = os.path.join(self.job_dir, "skypilot_task.yml")
         with open(task_yml, "w+") as f:
-            f.write(common_utils.dump_yaml_str(task.to_yaml_config()))
+            f.write(yaml_utils.dump_yaml_str(task.to_yaml_config()))
 
         backend = backends.CloudVmRayBackend()
         if num_nodes:
@@ -411,7 +446,7 @@ def launch(
                 idle_minutes_to_autostop=self.idle_minutes_to_autostop,
                 down=self.autodown,
                 fast=True,
-                # retry_until_up=retry_until_up,
+                retry_until_up=self.retry_until_up,
                 # clone_disk_from=clone_disk_from,
             )
         )
diff --git a/nemo_run/core/execution/skypilot_jobs.py b/nemo_run/core/execution/skypilot_jobs.py
new file mode 100644
index 00000000..d5edb179
--- /dev/null
+++ b/nemo_run/core/execution/skypilot_jobs.py
@@ -0,0 +1,437 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+import os
+import subprocess
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any, Dict, List, Optional, Type, Union
+
+from invoke.context import Context
+
+from nemo_run.config import RUNDIR_NAME
+from nemo_run.core.execution.base import (
+    Executor,
+    ExecutorMacros,
+)
+from nemo_run.core.packaging.base import Packager
+from nemo_run.core.packaging.git import GitArchivePackager
+
+_SKYPILOT_AVAILABLE: bool = False
+try:
+    import sky
+    import sky.task as skyt
+    from sky import backends
+
+    _SKYPILOT_AVAILABLE = True
+except ImportError:
+    # suppress import error so we don't crash if skypilot is not installed.
+    pass
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass(kw_only=True)
+class SkypilotJobsExecutor(Executor):
+    """
+    Dataclass to configure a Skypilot Jobs Executor.
+
+    This executor launches managed jobs and requires the `Skypilot API Server <https://docs.skypilot.co/en/latest/reference/api-server/api-server.html>`.
+
+    Some familiarity with `Skypilot <https://skypilot.readthedocs.io/en/latest/docs/index.html>`_ is necessary.
+    In order to use this executor, you need to install NeMo Run
+    with either `skypilot` (for only Kubernetes) or `skypilot-all` (for all clouds) optional features.
+
+    Example:
+
+    .. code-block:: python
+
+        skypilot = SkypilotJobsExecutor(
+            gpus="A10G",
+            gpus_per_node=devices,
+            container_image="nvcr.io/nvidia/nemo:dev",
+            infra="k8s/my-context",
+            network_tier="best",
+            cluster_name="nemo_tester",
+            file_mounts={
+                "nemo_run.whl": "nemo_run.whl",
+                "/workspace/code": "/local/path/to/code",
+            },
+            storage_mounts={
+                "/workspace/outputs": {
+                    "name": "my-training-outputs",
+                    "store": "gcs",  # or "s3", "azure", etc.
+                    "mode": "MOUNT",
+                    "persistent": True,
+                },
+                "/workspace/checkpoints": {
+                    "name": "model-checkpoints",
+                    "store": "s3",
+                    "mode": "MOUNT",
+                    "persistent": True,
+                }
+            },
+            setup=\"\"\"
+        conda deactivate
+        nvidia-smi
+        ls -al ./
+        pip install nemo_run.whl
+        cd /opt/NeMo && git pull origin main && pip install .
+            \"\"\",
+        )
+
+    """
+
+    HEAD_NODE_IP_VAR = "head_node_ip"
+    NPROC_PER_NODE_VAR = "SKYPILOT_NUM_GPUS_PER_NODE"
+    NUM_NODES_VAR = "num_nodes"
+    NODE_RANK_VAR = "SKYPILOT_NODE_RANK"
+    HET_GROUP_HOST_VAR = "het_group_host"
+
+    container_image: Optional[str] = None
+    cloud: Optional[Union[str, list[str]]] = None
+    region: Optional[Union[str, list[str]]] = None
+    zone: Optional[Union[str, list[str]]] = None
+    gpus: Optional[Union[str, list[str]]] = None
+    gpus_per_node: Optional[int] = None
+    cpus: Optional[Union[int | float, list[int | float]]] = None
+    memory: Optional[Union[int | float, list[int | float]]] = None
+    instance_type: Optional[Union[str, list[str]]] = None
+    num_nodes: int = 1
+    use_spot: Optional[Union[bool, list[bool]]] = None
+    disk_size: Optional[Union[int, list[int]]] = None
+    disk_tier: Optional[Union[str, list[str]]] = None
+    ports: Optional[tuple[str]] = None
+    file_mounts: Optional[dict[str, str]] = None
+    storage_mounts: Optional[dict[str, dict[str, Any]]] = None
+    cluster_name: Optional[str] = None
+    setup: Optional[str] = None
+    autodown: bool = False
+    idle_minutes_to_autostop: Optional[int] = None
+    torchrun_nproc_per_node: Optional[int] = None
+    cluster_config_overrides: Optional[dict[str, Any]] = None
+    infra: Optional[str] = None
+    network_tier: Optional[str] = None
+    retry_until_up: bool = False
+    packager: Packager = field(default_factory=GitArchivePackager)  # type: ignore  # noqa: F821
+
+    def __post_init__(self):
+        assert _SKYPILOT_AVAILABLE, (
+            'Skypilot is not installed. Please install it using `pip install "nemo_run[skypilot]"`.'
+        )
+        assert isinstance(self.packager, GitArchivePackager), (
+            "Only GitArchivePackager is currently supported for SkypilotExecutor."
+        )
+        if self.infra is not None:
+            assert self.cloud is None, "Cannot specify both `infra` and `cloud` parameters."
+            assert self.region is None, "Cannot specify both `infra` and `region` parameters."
+            assert self.zone is None, "Cannot specify both `infra` and `zone` parameters."
+            logger.info(
+                "`cloud` is deprecated and will be removed in a future version. Use `infra` instead."
+            )
+
+    @classmethod
+    def parse_app(cls: Type["SkypilotJobsExecutor"], app_id: str) -> tuple[str, str, int]:
+        app = app_id.split("___")
+        cluster, task, job_id = app[0], app[1], app[2]
+        assert cluster and task and job_id, f"Invalid app id for Skypilot: {app_id}"
+        return cluster, task, int(job_id)
+
+    def to_resources(self) -> Union[set["sky.Resources"], set["sky.Resources"]]:
+        from sky.resources import Resources
+
+        resources_cfg = {}
+        accelerators = None
+        if self.gpus:
+            if not self.gpus_per_node:
+                self.gpus_per_node = 1
+            else:
+                assert isinstance(self.gpus_per_node, int)
+
+            gpus = [self.gpus] if isinstance(self.gpus, str) else self.gpus
+
+            accelerators = {}
+            for gpu in gpus:
+                accelerators[gpu] = self.gpus_per_node
+
+            resources_cfg["accelerators"] = accelerators
+
+        if self.container_image:
+            resources_cfg["image_id"] = self.container_image
+
+        any_of = []
+
+        def parse_attr(attr: str):
+            if getattr(self, attr, None) is not None:
+                value = getattr(self, attr)
+                if isinstance(value, list):
+                    for i, val in enumerate(value):
+                        if len(any_of) < i + 1:
+                            any_of.append({})
+
+                        if isinstance(val, str) and val.lower() == "none":
+                            any_of[i][attr] = None
+                        else:
+                            any_of[i][attr] = val
+                else:
+                    if isinstance(value, str) and value.lower() == "none":
+                        resources_cfg[attr] = None
+                    else:
+                        resources_cfg[attr] = value
+
+        attrs = [
+            "cloud",
+            "region",
+            "zone",
+            "cpus",
+            "memory",
+            "instance_type",
+            "use_spot",
+            "infra",
+            "network_tier",
+            "image_id",
+            "disk_size",
+            "disk_tier",
+            "ports",
+        ]
+
+        for attr in attrs:
+            parse_attr(attr)
+
+        resources_cfg["any_of"] = any_of
+        if self.cluster_config_overrides:
+            resources_cfg["_cluster_config_overrides"] = self.cluster_config_overrides
+
+        resources = Resources.from_yaml_config(resources_cfg)
+
+        return resources  # type: ignore
+
+    @classmethod
+    def status(cls: Type["SkypilotJobsExecutor"], app_id: str) -> Optional[dict]:
+        from sky import stream_and_get
+        import sky.exceptions as sky_exceptions
+        import sky.jobs.client.sdk as sky_jobs
+
+        _, _, job_id = cls.parse_app(app_id)
+
+        try:
+            job_details: List[Dict[str, Any]] = stream_and_get(
+                sky_jobs.queue(refresh=True, all_users=True, job_ids=[job_id]),
+            )[0]
+        except sky_exceptions.ClusterNotUpError:
+            return None
+
+        return job_details
+
+    @classmethod
+    def cancel(cls: Type["SkypilotJobsExecutor"], app_id: str):
+        from sky.jobs.client.sdk import cancel
+
+        _, _, job_id = cls.parse_app(app_id=app_id)
+        job_details = cls.status(app_id=app_id)
+        if not job_details:
+            return
+
+        cancel(job_ids=[job_id])
+
+    @classmethod
+    def logs(cls: Type["SkypilotJobsExecutor"], app_id: str, fallback_path: Optional[str]):
+        import sky.jobs.client.sdk as sky_jobs
+
+        _, _, job_id = cls.parse_app(app_id)
+        job_details = cls.status(app_id)
+
+        is_terminal = False
+        if job_details and job_details["status"]:
+            is_terminal = job_details["status"].is_terminal()
+        elif not job_details:
+            is_terminal = True
+        if fallback_path and is_terminal:
+            log_path = os.path.expanduser(os.path.join(fallback_path, "run.log"))
+            if os.path.isfile(log_path):
+                with open(os.path.expanduser(os.path.join(fallback_path, "run.log"))) as f:
+                    for line in f:
+                        print(line, end="", flush=True)
+
+                return
+
+        sky_jobs.tail_logs(job_id=job_id)
+
+    @property
+    def workdir(self) -> str:
+        return os.path.join(f"{self.job_dir}", "workdir")
+
+    def package_configs(self, *cfgs: tuple[str, str]) -> list[str]:
+        filenames = []
+        basepath = os.path.join(self.job_dir, "configs")
+        for name, cfg in cfgs:
+            filename = os.path.join(basepath, name)
+            os.makedirs(os.path.dirname(filename), exist_ok=True)
+            with open(filename, "w") as f:
+                f.write(cfg)
+
+            filenames.append(
+                os.path.join(
+                    "/",
+                    RUNDIR_NAME,
+                    "configs",
+                    name,
+                )
+            )
+
+        return filenames
+
+    def assign(
+        self,
+        exp_id: str,
+        exp_dir: str,
+        task_id: str,
+        task_dir: str,
+    ):
+        self.job_name = task_id
+        self.experiment_dir = exp_dir
+        self.job_dir = os.path.join(exp_dir, task_dir)
+        self.experiment_id = exp_id
+
+    def package(self, packager: Packager, job_name: str):
+        assert self.experiment_id, "Executor not assigned to an experiment."
+        if isinstance(packager, GitArchivePackager):
+            output = subprocess.run(
+                ["git", "rev-parse", "--show-toplevel"],
+                check=True,
+                stdout=subprocess.PIPE,
+            )
+            path = output.stdout.splitlines()[0].decode()
+            base_path = Path(path).absolute()
+        else:
+            base_path = Path(os.getcwd()).absolute()
+
+        local_pkg = packager.package(base_path, self.job_dir, job_name)
+        local_code_extraction_path = os.path.join(self.job_dir, "code")
+        ctx = Context()
+        ctx.run(f"mkdir -p {local_code_extraction_path}")
+
+        if self.get_launcher().nsys_profile:
+            remote_nsys_extraction_path = os.path.join(
+                self.job_dir, self.get_launcher().nsys_folder
+            )
+            ctx.run(f"mkdir -p {remote_nsys_extraction_path}")
+        if local_pkg:
+            ctx.run(
+                f"tar -xvzf {local_pkg} -C {local_code_extraction_path} --ignore-zeros", hide=True
+            )
+
+    def nnodes(self) -> int:
+        return self.num_nodes
+
+    def nproc_per_node(self) -> int:
+        if self.torchrun_nproc_per_node:
+            return self.torchrun_nproc_per_node
+
+        return self.gpus_per_node or 1
+
+    def macro_values(self) -> Optional[ExecutorMacros]:
+        return ExecutorMacros(
+            head_node_ip_var=self.HEAD_NODE_IP_VAR,
+            nproc_per_node_var=self.NPROC_PER_NODE_VAR,
+            num_nodes_var=self.NUM_NODES_VAR,
+            node_rank_var=self.NODE_RANK_VAR,
+            het_group_host_var=self.HET_GROUP_HOST_VAR,
+        )
+
+    def to_task(
+        self,
+        name: str,
+        cmd: Optional[list[str]] = None,
+        env_vars: Optional[dict[str, str]] = None,
+    ) -> "skyt.Task":
+        from sky.task import Task
+
+        run_cmd = None
+        if cmd:
+            run_cmd = f"""
+conda deactivate
+
+num_nodes=`echo "$SKYPILOT_NODE_IPS" | wc -l`
+echo "num_nodes=$num_nodes"
+
+head_node_ip=`echo "$SKYPILOT_NODE_IPS" | head -n1`
+echo "head_node_ip=$head_node_ip"
+
+cd /nemo_run/code
+
+{" ".join(cmd)}
+"""
+        task = Task(
+            name=name,
+            setup=self.setup if self.setup else "",
+            run=run_cmd,
+            envs=self.env_vars,
+            num_nodes=self.num_nodes,
+        )
+        # Handle regular file mounts
+        file_mounts = self.file_mounts or {}
+        file_mounts["/nemo_run"] = self.job_dir
+        task.set_file_mounts(file_mounts)
+
+        # Handle storage mounts separately
+        if self.storage_mounts:
+            from sky.data import Storage
+
+            storage_objects = {}
+            for mount_path, config in self.storage_mounts.items():
+                # Create Storage object from config dict
+                storage_obj = Storage.from_yaml_config(config)
+                storage_objects[mount_path] = storage_obj
+            task.set_storage_mounts(storage_objects)
+
+        task.set_resources(self.to_resources())
+
+        if env_vars:
+            task.update_envs(env_vars)
+
+        return task
+
+    def launch(
+        self,
+        task: "skyt.Task",
+        num_nodes: Optional[int] = None,
+    ) -> tuple[Optional[int], Optional["backends.ResourceHandle"]]:
+        from sky import stream_and_get
+        from sky.jobs.client.sdk import launch
+
+        if num_nodes:
+            task.num_nodes = num_nodes
+
+        job_id, handle = stream_and_get(launch(task))
+
+        return job_id, handle
+
+    def cleanup(self, handle: str):
+        import sky.jobs.client.sdk as sky_jobs
+
+        _, _, path_str = handle.partition("://")
+        path = path_str.split("/")
+        app_id = path[1]
+
+        _, _, job_id = self.parse_app(app_id)
+        sky_jobs.download_logs(
+            name=None,
+            job_id=job_id,
+            refresh=True,
+            controller=True,
+            local_dir=self.job_dir,
+        )
diff --git a/nemo_run/core/execution/slurm.py b/nemo_run/core/execution/slurm.py
index 06f5557e..f483a61e 100644
--- a/nemo_run/core/execution/slurm.py
+++ b/nemo_run/core/execution/slurm.py
@@ -294,6 +294,7 @@ class ResourceRequest:
         gpus_per_node: Optional[int] = None
         gpus_per_task: Optional[int] = None
         container_mounts: list[str] = field(default_factory=list)
+        container_env: Optional[list[str]] = None
         env_vars: dict[str, str] = field(default_factory=dict)
         srun_args: Optional[list[str]] = None
         job_details: SlurmJobDetails = field(default_factory=SlurmJobDetails)
@@ -323,6 +324,7 @@ class ResourceRequest:
     open_mode: str = "append"
     container_image: Optional[str] = None
     container_mounts: list[str] = field(default_factory=list)
+    container_env: Optional[list[str]] = None
     additional_parameters: Optional[dict[str, Any]] = None
     srun_args: Optional[list[str]] = None
     heterogeneous: bool = False
@@ -385,6 +387,7 @@ def merge(
                 ntasks_per_node=main_executor.ntasks_per_node,
                 container_image=copy.deepcopy(main_executor.container_image),
                 container_mounts=copy.deepcopy(main_executor.container_mounts),
+                container_env=copy.deepcopy(main_executor.container_env),
                 env_vars=copy.deepcopy(main_executor.env_vars),
                 gpus_per_node=main_executor.gpus_per_node,
                 gpus_per_task=main_executor.gpus_per_task,
@@ -404,6 +407,7 @@ def merge(
                     ntasks_per_node=executor.ntasks_per_node,
                     container_image=copy.deepcopy(executor.container_image),
                     container_mounts=copy.deepcopy(executor.container_mounts),
+                    container_env=copy.deepcopy(executor.container_env),
                     env_vars=copy.deepcopy(executor.env_vars),
                     gpus_per_node=executor.gpus_per_node,
                     gpus_per_task=executor.gpus_per_task,
@@ -556,7 +560,7 @@ def get_nsys_entrypoint(self) -> str:
         launcher = self.get_launcher()
         entrypoint, postfix = "nsys", ""
         if launcher.nsys_gpu_metrics:
-            entrypoint = 'bash -c \'GPU_METRICS_FLAG=""; if [ "$SLURM_PROCID" -eq 0 ]; then GPU_METRICS_FLAG="--gpu-metrics-devices=all"; fi; nsys'
+            entrypoint = 'bash -c \'GPU_METRICS_FLAG=""; if echo "${GPU_METRICS_NODES}" | grep -q -w "${SLURM_NODEID}"; then GPU_METRICS_FLAG="--gpu-metrics-devices=${SLURM_LOCALID}"; fi; nsys'
             postfix = "'"
         return (entrypoint, postfix)
 
@@ -586,7 +590,10 @@ def package_configs(self, *cfgs: tuple[str, str]) -> list[str]:
     def package(self, packager: Packager, job_name: str):
         assert self.experiment_id, "Executor not assigned to an experiment."
 
-        if job_name in self.tunnel.packaging_jobs and not packager.symlink_from_remote_dir:
+        if (
+            get_packaging_job_key(self.experiment_id, job_name) in self.tunnel.packaging_jobs
+            and not packager.symlink_from_remote_dir
+        ):
             logger.info(
                 f"Packaging for job {job_name} in tunnel {self.tunnel.key} already done. Skipping subsequent packagings.\n"
                 "This may cause issues if you have multiple tasks with the same name but different packagers, as only the first packager will be used."
@@ -860,7 +867,7 @@ def materialize(self) -> str:
 
             for i in range(len(self.executor.resource_group)):
                 resource_req = self.executor.resource_group[i]
-                if resource_req.het_group_index:
+                if resource_req.het_group_index is not None:
                     assert self.executor.resource_group[i - 1].het_group_index is not None, (
                         "het_group_index must be set for all requests in resource_group"
                     )
@@ -924,7 +931,10 @@ def materialize(self) -> str:
             memory_measure_out = srun_stdout
 
         def get_container_flags(
-            base_mounts: list[str], src_job_dir: str, container_image: Optional[str]
+            base_mounts: list[str],
+            src_job_dir: str,
+            container_image: Optional[str],
+            container_env: Optional[list[str]] = None,
         ) -> list[str]:
             _container_flags = ["--container-image", container_image] if container_image else []
 
@@ -940,6 +950,8 @@ def get_container_flags(
                 "--container-workdir",
                 f"/{RUNDIR_NAME}/code",
             ]
+            if container_env:
+                _container_flags += ["--container-env", ",".join(container_env)]
 
             return _container_flags
 
@@ -978,6 +990,7 @@ def get_container_flags(
                         job_directory_name,
                     ),
                     container_image=resource_req.container_image,
+                    container_env=resource_req.container_env,
                 )
                 _srun_args = ["--wait=60", "--kill-on-bad-exit=1"]
                 _srun_args.extend(resource_req.srun_args or [])
@@ -993,6 +1006,7 @@ def get_container_flags(
                         job_directory_name,
                     ),
                     container_image=self.executor.container_image,
+                    container_env=self.executor.container_env,
                 )
                 _srun_args = ["--wait=60", "--kill-on-bad-exit=1"]
                 _srun_args.extend(self.executor.srun_args or [])
diff --git a/nemo_run/core/execution/templates/slurm.sh.j2 b/nemo_run/core/execution/templates/slurm.sh.j2
index c47261fb..26f756fa 100644
--- a/nemo_run/core/execution/templates/slurm.sh.j2
+++ b/nemo_run/core/execution/templates/slurm.sh.j2
@@ -73,7 +73,7 @@ while ! $all_done; do
             # Process is no longer running => check its exit status.
             wait "$pid"
             exitcode=$?
-            echo "Process $pid exited with code $exit_code at $(date '+%Y-%m-%d %H:%M:%S')"
+            echo "Process $pid exited with code $exitcode at $(date '+%Y-%m-%d %H:%M:%S')"
             # Wait a bit (to get a clean stack trace in case there is one being generated), then kill the
             # remaining processes if needed.
             sleep {{monitor_group_job_wait_time}}
diff --git a/nemo_run/core/packaging/git.py b/nemo_run/core/packaging/git.py
index 39b11837..79bb3974 100644
--- a/nemo_run/core/packaging/git.py
+++ b/nemo_run/core/packaging/git.py
@@ -20,6 +20,7 @@
 import uuid
 from dataclasses import dataclass
 from pathlib import Path
+import re
 
 from invoke.context import Context
 
@@ -72,6 +73,31 @@ class GitArchivePackager(Packager):
     check_uncommitted_changes: bool = False
     check_untracked_files: bool = False
 
+    def _concatenate_tar_files(
+        self, ctx: Context, output_file: str, files_to_concatenate: list[str]
+    ):
+        """Concatenate multiple uncompressed tar files into a single tar archive.
+
+        The list should include ALL fragments to merge (base + additions).
+        Creates/overwrites `output_file`.
+        """
+        if not files_to_concatenate:
+            raise ValueError("files_to_concatenate must not be empty")
+
+        # Quote paths for shell safety
+        quoted_files = [shlex.quote(f) for f in files_to_concatenate]
+        quoted_output_file = shlex.quote(output_file)
+
+        # Extract all fragments and repack once (faster than iterative extract/append)
+        # Note: Avoid using tar Af based solution as it does not properly concatenate
+        # tar files for additional filepaths and submodules.
+        temp_dir = f"temp_extract_{uuid.uuid4()}"
+        ctx.run(f"mkdir -p {temp_dir}")
+        for file in quoted_files:
+            ctx.run(f"tar xf {file} -C {temp_dir}")
+        ctx.run(f"tar cf {quoted_output_file} -C {temp_dir} .")
+        ctx.run(f"rm -r {temp_dir} {' '.join(quoted_files)}")
+
     def package(self, path: Path, job_dir: str, name: str) -> str:
         output_file = os.path.join(job_dir, f"{name}.tar.gz")
         if os.path.exists(output_file):
@@ -113,20 +139,11 @@ def package(self, path: Path, job_dir: str, name: str) -> str:
             )
 
         ctx = Context()
-        # we first add git files into an uncompressed archive
-        # then we add submodule files into that archive
-        # then we add an extra files from pattern to that archive
-        # finally we compress it (cannot compress right away, since adding files is not possible)
-        git_archive_cmd = (
-            f"git archive --format=tar --output={output_file}.tmp {self.ref}:{git_sub_path}"
-        )
-        if os.uname().sysname == "Linux":
-            tar_submodule_cmd = f"tar Af {output_file}.tmp $sha1.tmp && rm $sha1.tmp"
-        else:
-            tar_submodule_cmd = f"cat $sha1.tmp >> {output_file}.tmp && rm $sha1.tmp"
-
-        git_submodule_cmd = f"""git submodule foreach --recursive \
-'git archive --format=tar --prefix=$sm_path/ --output=$sha1.tmp HEAD && {tar_submodule_cmd}'"""
+        # Build the base uncompressed archive, then separately generate all additional fragments.
+        # Finally, concatenate all fragments in one pass for performance and portability.
+        base_tar_tmp = f"{output_file}.tmp.base"
+        git_archive_cmd = f"git archive --format=tar --output={shlex.quote(base_tar_tmp)} {self.ref}:{git_sub_path}"
+        git_submodule_cmd = "git submodule foreach --recursive 'git archive --format=tar --prefix=$sm_path/ --output=$sha1.tmp HEAD'"
 
         with ctx.cd(git_base_path):
             ctx.run(git_archive_cmd)
@@ -143,6 +160,16 @@ def package(self, path: Path, job_dir: str, name: str) -> str:
                 "include_pattern and include_pattern_relative_path should have the same length"
             )
 
+        # Collect submodule tar fragments (named as <40-hex-sha1>.tmp) if any
+        submodule_tmp_files: list[str] = []
+        if self.include_submodules:
+            for dirpath, _dirnames, filenames in os.walk(git_base_path):
+                for filename in filenames:
+                    if re.fullmatch(r"[0-9a-f]{40}\.tmp", filename):
+                        submodule_tmp_files.append(os.path.join(dirpath, filename))
+
+        # Generate additional fragments from include patterns and collect their paths
+        additional_tmp_files: list[str] = []
         for include_pattern, include_pattern_relative_path in zip(
             self.include_pattern, self.include_pattern_relative_path
         ):
@@ -158,26 +185,16 @@ def package(self, path: Path, job_dir: str, name: str) -> str:
                 include_pattern, include_pattern_relative_path
             )
             pattern_tar_file_name = os.path.join(git_base_path, pattern_tar_file_name)
-            include_pattern_cmd = (
-                f"find {relative_include_pattern} -type f | tar -cf {pattern_tar_file_name} -T -"
-            )
+            include_pattern_cmd = f"find {relative_include_pattern} -type f | tar -cf {shlex.quote(pattern_tar_file_name)} -T -"
 
             with ctx.cd(include_pattern_relative_path):
                 ctx.run(include_pattern_cmd)
+            additional_tmp_files.append(pattern_tar_file_name)
 
-            with ctx.cd(git_base_path):
-                if os.uname().sysname == "Linux":
-                    # On Linux, directly concatenate tar files
-                    ctx.run(f"tar Af {output_file}.tmp {pattern_tar_file_name}")
-                    ctx.run(f"rm {pattern_tar_file_name}")
-                else:
-                    # Extract and repack approach for other platforms
-                    temp_dir = f"temp_extract_{pattern_file_id}"
-                    ctx.run(f"mkdir -p {temp_dir}")
-                    ctx.run(f"tar xf {output_file}.tmp -C {temp_dir}")
-                    ctx.run(f"tar xf {pattern_tar_file_name} -C {temp_dir}")
-                    ctx.run(f"tar cf {output_file}.tmp -C {temp_dir} .")
-                    ctx.run(f"rm -rf {temp_dir} {pattern_tar_file_name}")
+        # Concatenate all fragments in one pass into {output_file}.tmp
+        fragments_to_merge: list[str] = [base_tar_tmp] + submodule_tmp_files + additional_tmp_files
+        with ctx.cd(git_base_path):
+            self._concatenate_tar_files(ctx, f"{output_file}.tmp", fragments_to_merge)
 
         gzip_cmd = f"gzip -c {output_file}.tmp > {output_file}"
         rm_cmd = f"rm {output_file}.tmp"
diff --git a/nemo_run/core/packaging/hybrid.py b/nemo_run/core/packaging/hybrid.py
index 318b49d4..4aeb250a 100644
--- a/nemo_run/core/packaging/hybrid.py
+++ b/nemo_run/core/packaging/hybrid.py
@@ -1,3 +1,18 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import os
 from dataclasses import dataclass, field
 from pathlib import Path
diff --git a/nemo_run/core/tunnel/client.py b/nemo_run/core/tunnel/client.py
index 316dbc78..750defa4 100644
--- a/nemo_run/core/tunnel/client.py
+++ b/nemo_run/core/tunnel/client.py
@@ -1,11 +1,10 @@
-# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
+# Copyright (c) 2024-2025, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
 #
-# http://www.apache.org/licenses/LICENSE-2.0
+#     http://www.apache.org/licenses/LICENSE-2.0
 #
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS,
@@ -196,6 +195,7 @@ class SSHTunnel(Tunnel):
 
     host: str
     user: str
+    port: Optional[int] = None
     identity: Optional[str] = None
     shell: Optional[str] = None
     pre_command: Optional[str] = None
@@ -263,6 +263,7 @@ def _authenticate(self):
         config = Config(overrides={"run": {"in_stream": False}})
         self.session = Connection(
             self.host,
+            port=self.port,
             user=self.user,
             connect_kwargs=connect_kwargs,
             forward_agent=False,
diff --git a/nemo_run/package_info.py b/nemo_run/package_info.py
index 141bafa3..90cd3abd 100644
--- a/nemo_run/package_info.py
+++ b/nemo_run/package_info.py
@@ -13,7 +13,7 @@
 # limitations under the License.
 from packaging.version import Version
 
-__version__ = "0.6.0rc0.dev0"
+__version__ = "0.8.0rc0.dev0"
 
 MAJOR = Version(__version__).major
 MINOR = Version(__version__).minor
diff --git a/nemo_run/run/experiment.py b/nemo_run/run/experiment.py
index 643486e6..460f04f6 100644
--- a/nemo_run/run/experiment.py
+++ b/nemo_run/run/experiment.py
@@ -35,9 +35,8 @@
 from rich.console import Group
 from rich.live import Live
 from rich.panel import Panel
-from rich.progress import BarColumn, Progress, SpinnerColumn
+from rich.progress import BarColumn, Progress, SpinnerColumn, TaskID, TimeElapsedColumn
 from rich.progress import Task as RichTask
-from rich.progress import TaskID, TimeElapsedColumn
 from rich.syntax import Syntax
 from torchx.specs.api import AppState
 
@@ -56,6 +55,7 @@
 from nemo_run.core.execution.lepton import LeptonExecutor
 from nemo_run.core.execution.local import LocalExecutor
 from nemo_run.core.execution.skypilot import SkypilotExecutor
+from nemo_run.core.execution.skypilot_jobs import SkypilotJobsExecutor
 from nemo_run.core.execution.slurm import SlurmExecutor
 from nemo_run.core.frontend.console.api import CONSOLE, configure_logging, deconfigure_logging
 from nemo_run.core.serialization.zlib_json import ZlibJSONSerializer
@@ -202,6 +202,7 @@ class Experiment(ConfigurableMixin):
         SlurmExecutor,
         LocalExecutor,
         SkypilotExecutor,
+        SkypilotJobsExecutor,
         DockerExecutor,
         DGXCloudExecutor,
         LeptonExecutor,
@@ -209,6 +210,7 @@ class Experiment(ConfigurableMixin):
     _DETACH_SUPPORTED_EXECUTORS = (
         SlurmExecutor,
         SkypilotExecutor,
+        SkypilotJobsExecutor,
         DGXCloudExecutor,
         LeptonExecutor,
     )
@@ -303,6 +305,9 @@ def __init__(
         base_dir: str | None = None,
         clean_mode: bool = False,
         enable_goodbye_message: bool = True,
+        threadpool_workers: int = 16,
+        skip_status_at_exit: bool = False,
+        serialize_metadata_for_scripts: bool = True,
     ) -> None:
         """
         Initializes an experiment run by creating its metadata directory and saving the experiment config.
@@ -328,6 +333,9 @@ def __init__(
         self._title = title
         self._id = id or f"{title}_{int(time.time())}"
         self._enable_goodbye_message = enable_goodbye_message
+        self._threadpool_workers = threadpool_workers
+        self._skip_status_at_exit = skip_status_at_exit
+        self._serialize_metadata_for_scripts = serialize_metadata_for_scripts
 
         base_dir = str(base_dir or get_nemorun_home())
         self._exp_dir = os.path.join(base_dir, "experiments", title, self._id)
@@ -359,6 +367,10 @@ def to_config(self) -> Config:
             executor=self.executor.to_config(),
             log_level=self.log_level,
             clean_mode=self.clean_mode,
+            threadpool_workers=self._threadpool_workers,
+            enable_goodbye_message=self._enable_goodbye_message,
+            skip_status_at_exit=self._skip_status_at_exit,
+            serialize_metadata_for_scripts=self._serialize_metadata_for_scripts,
         )
 
     def _save_experiment(self, exist_ok: bool = False):
@@ -422,8 +434,9 @@ def _load_jobs(self) -> list[Job | JobGroup]:
 
     def _prepare(self, exist_ok: bool = False):
         self._save_experiment(exist_ok=exist_ok)
+
         for job in self.jobs:
-            job.prepare()
+            job.prepare(serialize_metadata_for_scripts=self._serialize_metadata_for_scripts)
 
         self._save_jobs()
 
@@ -626,13 +639,13 @@ def run(
         If sequential=True, all tasks will be run one after the other.
         The order is based on the order in which they were added.
 
-        Parallel mode only works if all exectuors in the experiment support it.
+        Parallel mode only works if all executors in the experiment support it.
         Currently, all executors support parallel mode.
 
         In sequential mode, if all executor supports dependencies, then all tasks will be scheduled at once
         by specifying the correct dependencies to each task.
         Otherwise, the experiment.run call will block and each task that is scheduled will be executed sequentially.
-        In this particular case, we cannot guarantee the state of the exeperiment if the process exits in the middle.
+        In this particular case, we cannot guarantee the state of the experiment if the process exits in the middle.
 
         Currently, only the slurm executor supports dependencies.
 
@@ -655,7 +668,10 @@ def run(
             return
 
         # Prepare experiment before running
-        self._prepare()
+
+        # in case of multi-node execution with LocalExecutor+torchrun+slurm, run only on first rank
+        if int(os.getenv("SLURM_PROCID", 0)) == 0:
+            self._prepare()
 
         if direct:
             self.console.log(
@@ -769,7 +785,15 @@ def _run_dag(self, detach: bool, tail_logs: bool, executors: set[Executor]):
             self.detach = detach
 
         for level in order:
-            for _, node in enumerate(level):
+            # Launch jobs in this level concurrently since they are independent
+
+            def _set_context(ctx: contextvars.Context):
+                for var, value in ctx.items():
+                    var.set(value)
+
+            ctx = contextvars.copy_context()
+
+            def _launch(node: str):
                 job: Job | JobGroup = job_map[node]
                 self.console.log(f"[bold cyan]Launching job {job.id} for experiment {self._title}")
                 if tail_logs:
@@ -787,14 +811,24 @@ def _run_dag(self, detach: bool, tail_logs: bool, executors: set[Executor]):
                             deps.append(handle)
 
                         job.executor.dependencies = deps  # type: ignore
+
                     job.launch(wait=False, runner=self._runner)
+                    return job
 
                 except Exception as e:
                     self.console.log(f"Error running job {job.id}: {e}")
                     raise e
 
+            launched_jobs: list[Job | JobGroup] = []
+            with ThreadPoolExecutor(
+                initializer=_set_context, initargs=(ctx,), max_workers=self._threadpool_workers
+            ) as pool:
+                futures = [pool.submit(_launch, node) for node in level]
+                for future in as_completed(futures):
+                    launched_jobs.append(future.result())
+
             if wait:
-                self._wait_for_jobs(jobs=[job_map[node] for node in level])
+                self._wait_for_jobs(jobs=launched_jobs)
 
         self._save_jobs()
         self._launched = any(map(lambda job: job.launched, self.jobs))
@@ -840,7 +874,21 @@ def set_context(context: contextvars.Context):
                 finally:
                     job.cleanup()
 
-    def status(self, return_dict: bool = False) -> Optional[dict[str, str]]:
+    def _initialize_tunnels(self, extract_from_executors: bool = False):
+        if extract_from_executors:
+            for job in self.jobs:
+                if (
+                    isinstance(job.executor, SlurmExecutor)
+                    and job.executor.tunnel.key not in self.tunnels
+                ):
+                    self.tunnels[job.executor.tunnel.key] = job.executor.tunnel
+
+        for tunnel in self.tunnels.values():
+            if isinstance(tunnel, SSHTunnel):
+                tunnel.connect()
+                assert tunnel.session, f"SSH tunnel {tunnel.key} failed to connect."
+
+    def status(self, return_dict: bool = False) -> Optional[dict[str, dict[str, str]]]:
         """
         Prints a table specifying the status of all tasks.
 
@@ -880,6 +928,7 @@ def _get_job_info_and_dict(
                 "status": job.status(runner=self._runner),
                 "executor": job.executor.info(),
                 "job_id": app_id,
+                "handle": job.handle,
                 "local_dir": job.executor.job_dir,
             }
 
@@ -902,13 +951,34 @@ def _get_job_info_and_dict(
             job_info.extend(directory_info)
             return job_info, job_dict
 
+        self._initialize_tunnels(extract_from_executors=True)
         try:
             result_dict = {}
-            job_infos = []
-            for i, job in enumerate(self.jobs):
-                job_info, job_dict = _get_job_info_and_dict(i, job)
-                job_infos.append(Group(*job_info))
-                result_dict[job.id] = job_dict
+            job_infos: list[Group | None] = [None] * len(self.jobs)
+
+            # Parallelize IO-bound status retrieval across jobs
+            def _collect(arg):
+                idx, job = arg
+                job_info, job_dict = _get_job_info_and_dict(idx, job)
+                return idx, job.id, job_info, job_dict
+
+            # Propagate context variables to worker threads so helpers that rely on them keep working
+            def _set_context(ctx: contextvars.Context):
+                for var, value in ctx.items():
+                    var.set(value)
+
+            ctx = contextvars.copy_context()
+            with ThreadPoolExecutor(
+                initializer=_set_context, initargs=(ctx,), max_workers=self._threadpool_workers
+            ) as pool:
+                futures = [pool.submit(_collect, (idx, job)) for idx, job in enumerate(self.jobs)]
+                for future in as_completed(futures):
+                    idx, job_id, job_info, job_dict = future.result()
+                    job_infos[idx] = Group(*job_info)
+                    result_dict[job_id] = job_dict
+
+            # Remove potential None slots (should not occur)
+            job_infos = [ji for ji in job_infos if ji is not None]
 
             if return_dict:
                 return result_dict
@@ -1142,7 +1212,7 @@ def __exit__(self, exc_type, exc_value, tb):
                     "Ephemeral logs and artifacts may be lost.",
                 )
 
-                if self._launched:
+                if self._launched and not self._skip_status_at_exit:
                     self.status()
                 return
 
@@ -1151,20 +1221,23 @@ def __exit__(self, exc_type, exc_value, tb):
                     self.console.rule(
                         f"[bold magenta]Direct run Experiment {self._id}",
                     )
-                    self.status()
+                    if not self._skip_status_at_exit:
+                        self.status()
                     return
 
                 if hasattr(self, "_waited") and self._waited:
                     self.console.rule(
                         f"[bold magenta]Done waiting for Experiment {self._id}",
                     )
-                    self.status()
+                    if not self._skip_status_at_exit:
+                        self.status()
                     return
 
                 self.console.rule(
                     f"[bold magenta]Waiting for Experiment {self._id} to finish",
                 )
-                self.status()
+                if not self._skip_status_at_exit:
+                    self.status()
 
                 self._wait_for_jobs(jobs=self.jobs)
         finally:
@@ -1174,17 +1247,17 @@ def __exit__(self, exc_type, exc_value, tb):
             self._cleanup(tunnels=False)
             if self._launched:
                 Path(os.path.join(self._exp_dir, self._DONE_FILE)).touch()
-                self.console.print(
-                    Syntax(
-                        self.GOODBYE_MESSAGE_PYTHON.format(
-                            exp_id=self._id,
-                            tasks=list(map(lambda job: job.id, self.jobs)),
-                        ),
-                        "python",
-                        theme=os.environ.get("NEMO_RUN_CODE_THEME", "monokai"),
-                    )
-                )
                 if self._enable_goodbye_message:
+                    self.console.print(
+                        Syntax(
+                            self.GOODBYE_MESSAGE_PYTHON.format(
+                                exp_id=self._id,
+                                tasks=list(map(lambda job: job.id, self.jobs)),
+                            ),
+                            "python",
+                            theme=os.environ.get("NEMO_RUN_CODE_THEME", "monokai"),
+                        )
+                    )
                     self.console.print(
                         Syntax(
                             self.GOODBYE_MESSAGE_BASH.format(
diff --git a/nemo_run/run/job.py b/nemo_run/run/job.py
index 35dab339..b232a03d 100644
--- a/nemo_run/run/job.py
+++ b/nemo_run/run/job.py
@@ -1,9 +1,24 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import sys
 import traceback
 from dataclasses import dataclass, field
 from typing import Optional, Union, cast
 
-from torchx.specs.api import AppDef, AppState, is_terminal
+from torchx.specs.api import AppDef, AppDryRunInfo, AppState, is_terminal
 
 import nemo_run.exceptions
 from nemo_run.config import Config, ConfigurableMixin, Partial, Script
@@ -62,6 +77,10 @@ class Job(ConfigurableMixin):
     plugins: Optional[list[ExperimentPlugin]] = None
     tail_logs: bool = False
     dependencies: list[str] = field(default_factory=list)
+    name: str = ""
+
+    def __post_init__(self):
+        self._dryrun_info: Optional[AppDryRunInfo] = None
 
     def serialize(self) -> tuple[str, str]:
         cfg = self.to_config()
@@ -92,10 +111,14 @@ def logs(self, runner: Runner, regex: str | None = None):
             regex=regex,
         )
 
-    def prepare(self):
+    def prepare(self, serialize_metadata_for_scripts: bool = True):
         self.executor.create_job_dir()
         self._executable = package(
-            self.id, self.task, executor=self.executor, serialize_to_file=True
+            self.id,
+            self.task,
+            executor=self.executor,
+            serialize_to_file=True,
+            serialize_metadata_for_scripts=serialize_metadata_for_scripts,
         )
 
     def launch(
@@ -120,7 +143,7 @@ def launch(
             return
 
         if dryrun:
-            launch(
+            _, dryrun_info = launch(
                 executable=self._executable,
                 executor_name=executor_str,
                 executor=self.executor,
@@ -130,6 +153,7 @@ def launch(
                 log=self.tail_logs,
                 runner=runner,
             )
+            self._dryrun_info = dryrun_info
             return
 
         self.handle, status = launch(
@@ -140,6 +164,7 @@ def launch(
             wait=wait,
             log=self.tail_logs,
             runner=runner,
+            dryrun_info=self._dryrun_info,
         )
         self.state = status.state if status else AppState.UNKNOWN
         self.launched = True
@@ -223,6 +248,7 @@ class JobGroup(ConfigurableMixin):
     plugins: Optional[list[ExperimentPlugin]] = None
     tail_logs: bool = False
     dependencies: list[str] = field(default_factory=list)
+    name: str = ""
 
     def __post_init__(self):
         executors = [self.executors] if isinstance(self.executors, Executor) else self.executors
@@ -252,6 +278,8 @@ def __post_init__(self):
             if len(executors) == 1:
                 self.executors = executors * len(self.tasks)
 
+        self._dryrun_info: Optional[AppDryRunInfo] = None
+
     @property
     def state(self) -> AppState:
         if not self.launched or not self.handles:
@@ -307,7 +335,7 @@ def logs(self, runner: Runner, regex: str | None = None):
             regex=regex,
         )
 
-    def prepare(self):
+    def prepare(self, serialize_metadata_for_scripts: bool = True):
         self.executor.create_job_dir()
         self._executables: list[tuple[AppDef, Executor]] = []
         for i, task in enumerate(self.tasks):
@@ -318,6 +346,7 @@ def prepare(self):
                 task,
                 executor=executor,
                 serialize_to_file=True,
+                serialize_metadata_for_scripts=serialize_metadata_for_scripts,
             )
             self._executables.append((executable, executor))
 
@@ -346,7 +375,7 @@ def launch(
             executor_str = get_executor_str(executor)
 
             if dryrun:
-                launch(
+                _, dryrun_info = launch(
                     executable=executable,
                     executor_name=executor_str,
                     executor=executor,
@@ -356,6 +385,7 @@ def launch(
                     log=self.tail_logs,
                     runner=runner,
                 )
+                self._dryrun_info = dryrun_info
             else:
                 handle, status = launch(
                     executable=executable,
@@ -365,6 +395,7 @@ def launch(
                     wait=wait,
                     log=self.tail_logs,
                     runner=runner,
+                    dryrun_info=self._dryrun_info,
                 )
                 self.handles.append(handle)
                 self.states.append(status.state if status else AppState.UNKNOWN)
diff --git a/nemo_run/run/ray/slurm.py b/nemo_run/run/ray/slurm.py
index 9741179e..5fb60019 100644
--- a/nemo_run/run/ray/slurm.py
+++ b/nemo_run/run/ray/slurm.py
@@ -214,6 +214,7 @@ def get_srun_flags(mounts: list[str], container_image: Optional[str]) -> str:
                 new_mounts = mounts
 
             new_mounts.append(f"{self.cluster_dir}:{self.cluster_dir}")
+            new_mounts.append(f"{logs_dir}:{logs_dir}")
 
             _srun_flags += ["--container-mounts", ",".join(new_mounts)]
             container_workdir = self.workdir or self.cluster_dir
diff --git a/nemo_run/run/ray/templates/ray.sub.j2 b/nemo_run/run/ray/templates/ray.sub.j2
index 6a803359..a710c9d4 100644
--- a/nemo_run/run/ray/templates/ray.sub.j2
+++ b/nemo_run/run/ray/templates/ray.sub.j2
@@ -28,18 +28,45 @@ DASHBOARD_AGENT_GRPC_PORT=${DASHBOARD_AGENT_GRPC_PORT:-53007}
 METRICS_EXPORT_PORT=${METRICS_EXPORT_PORT:-53009}
 
 # Ports for the head node
-PORT=${PORT:-6379}
+PORT=${PORT:-54514}
 RAY_CLIENT_SERVER_PORT=${RAY_CLIENT_SERVER_PORT:-10001}
 #REDIT_SHARD_PORTS=${REDIT_SHARD_PORTS:-"random"} ??
-DASHBOARD_GRPC_PORT=${DASHBOARD_GRPC_PORT:-52367}
 DASHBOARD_PORT=${DASHBOARD_PORT:-8265}  # Also used by debugger
 DASHBOARD_AGENT_LISTEN_PORT=${DASHBOARD_AGENT_LISTEN_PORT:-52365}
+RAY_DEBUGGER_ARGS=
+if [ "${RAY_DEBUG:-}" = "legacy" ]; then
+  RAY_DEBUGGER_ARGS="--ray-debugger-external"
+fi
+
+# After ray>=2.47, this feature is enabled by default which creates uv venvs for any py_executable starting with `uv run`.
+# There is severe contention and performance issues with this enabled considering our dependencies are so large and occasionally
+# need to be compiled, so NeMo RL has an implementation in nemo_rl/utils/venv.py that does it once per node as opposed to once per task.
+export RAY_ENABLE_UV_RUN_RUNTIME_ENV=0
+
+# Setting ulimit is recommended by ray best practices page
+# @ https://docs.ray.io/en/latest/cluster/vms/user-guides/large-cluster-best-practices.html
+# It's session based and won't affect the system outside the script
+# Ensure that the soft limit isn't above the hard limit
+if [[ $(ulimit -Hn) == "unlimited" ]] || [[ 65535 -lt $(ulimit -Hn) ]]; then
+  ulimit -Sn 65535
+elif [[ $(ulimit -Hn) != "unlimited" ]] && [[ $(ulimit -Hn) -lt 65535 ]]; then
+  echo "[WARNING]: Cannot increase ulimit on file descriptors to 65535 according ray recommendation: https://docs.ray.io/en/latest/cluster/vms/user-guides/large-cluster-best-practices.html. Speak to cluster admins to increase, otherwise ray may crash unexpectedly."
+fi
 
 # On our clusters, the largest port range on an idle worker appeared between 52369-64607
 # (not including the other ports set by this script). So this range is chosen to be
 # somewhere in the middle
 MIN_WORKER_PORT=${MIN_WORKER_PORT:-54001}
-MAX_WORKER_PORT=${MAX_WORKER_PORT:-54257}
+MAX_WORKER_PORT=${MAX_WORKER_PORT:-54513}
+
+# Ray temp directory (inside container). Used by --temp-dir and log sync sidecar
+RAY_TEMP_DIR=${RAY_TEMP_DIR:-/ray-cluster}
+
+# Number seconds to sync logs from /tmp/ray/session_*/logs to $LOG_DIR/ray/
+RAY_LOG_SYNC_FREQUENCY=${RAY_LOG_SYNC_FREQUENCY:-}
+
+# Timeout in seconds for Ray head node to start (default 10 minutes)
+RAY_HEAD_START_TIMEOUT=${RAY_HEAD_START_TIMEOUT:-600}
 
 # Directory setup
 export CLUSTER_DIR={{ cluster_dir }}
@@ -74,13 +101,66 @@ gpus_per_node=8
 
 num_retries={{ num_retries }}
 
+# Track backgrounded srun client PIDs for head and workers
+declare -A SRUN_PIDS
+
+# Verify all backgrounded srun client processes are still alive; exit fast if any died
+check_srun_processes() {
+  for name in "${!SRUN_PIDS[@]}"; do
+    pid="${SRUN_PIDS[$name]}"
+    # Check if the process is still running
+    if ! kill -0 "$pid" 2>/dev/null; then
+      echo "[ERROR] Background srun '$name' died (pid=$pid). Could be a failure in startup or an issue with the node preventing the srun to start. Attempting to exit." >&2
+      # Signal sidecars inside containers to terminate ASAP
+      touch "$LOG_DIR/ENDED"
+      exit 1
+    fi
+  done
+}
+
 # Getting the node names and IP addresses in the SLURM allocation
 nodes=$(scontrol show hostnames "$SLURM_JOB_NODELIST")
 nodes_array=($nodes)
 ip_addresses_array=()
 
 for node in $nodes; do
-    ip_address=$(host $node | awk '/has address/ { print $4 }')
+    # Try multiple methods to get IP address - ENHANCED VERSION v2.0
+    echo "[DEBUG] Resolving hostname: $node using enhanced resolution methods"
+    ip_address=""
+
+    # Method 1: Try host command
+    echo "[DEBUG] Method 1: host command"
+    ip_address=$(host $node 2>/dev/null | awk '/has address/ { print $4 }' | head -1 || true)
+    echo "[DEBUG] host result: '$ip_address'"
+
+    # Method 2: If host fails, try getent
+    if [[ -z "$ip_address" ]]; then
+        echo "[DEBUG] Method 2: getent hosts"
+        ip_address=$(getent hosts $node 2>/dev/null | awk '{ print $1 }' | head -1 || true)
+        echo "[DEBUG] getent result: '$ip_address'"
+    fi
+
+    # Method 3: If getent fails, try nslookup
+    if [[ -z "$ip_address" ]]; then
+        echo "[DEBUG] Method 3: nslookup"
+        ip_address=$(nslookup $node 2>/dev/null | awk '/^Address: / { print $2 }' | head -1 || true)
+        echo "[DEBUG] nslookup result: '$ip_address'"
+    fi
+
+    # Method 4: If all DNS methods fail, try ping to extract IP
+    if [[ -z "$ip_address" ]]; then
+        echo "[DEBUG] Method 4: ping"
+        ip_address=$(ping -c 1 $node 2>/dev/null | grep "PING" | sed 's/.*(\([^)]*\)).*/\1/' || true)
+        echo "[DEBUG] ping result: '$ip_address'"
+    fi
+
+    # If still no IP, use the hostname itself (might work if it's already an IP or resolvable)
+    if [[ -z "$ip_address" ]]; then
+        echo "[WARNING] Could not resolve IP for $node, using hostname as fallback"
+        ip_address=$node
+    fi
+
+    echo "[INFO] Node: $node -> IP: $ip_address"
     # Add the IP address to the array
     ip_addresses_array+=("$ip_address")
 done
@@ -132,23 +212,57 @@ monitor-sidecar() {
 }
 monitor-sidecar &
 
+# Background process to sync ray logs every $RAY_LOG_SYNC_FREQUENCY seconds
+log-sync-sidecar() {
+  set +x
+  if [[ -z "$RAY_LOG_SYNC_FREQUENCY" ]]; then
+    echo "RAY_LOG_SYNC_FREQUENCY is not set, skipping log sync sidecar"
+    return
+  fi
+  mkdir -p $LOG_DIR/ray
+  while true; do
+    sleep $RAY_LOG_SYNC_FREQUENCY
+    if ls ${RAY_TEMP_DIR}/session_[0-9]* > /dev/null 2>&1; then
+      for session_dir in ${RAY_TEMP_DIR}/session_[0-9]*/; do
+        if [[ -d "\$session_dir/logs" ]]; then
+          session_name=\$(basename "\$session_dir")
+          mkdir -p "$LOG_DIR/ray/\$session_name"
+          if command -v rsync > /dev/null 2>&1; then
+            rsync -ahP "\$session_dir/logs/" "$LOG_DIR/ray/\$session_name/logs/" 2>/dev/null || true
+          else
+            cp -r "\$session_dir/logs" "$LOG_DIR/ray/\$session_name/"
+          fi
+        fi
+      done
+    fi
+    if [[ -f "$LOG_DIR/ENDED" ]]; then
+      echo "Log sync sidecar terminating..."
+      break
+    fi
+  done
+}
+log-sync-sidecar &
+
+# Patch nsight.py before starting Ray head
+sed -i 's/context\.py_executable = " "\.join(self\.nsight_cmd) + " python"/context.py_executable = " ".join(self.nsight_cmd) + f" {context.py_executable}"/g' /opt/nemo_rl_venv/lib64/python*/site-packages/ray/_private/runtime_env/nsight.py
+
 cat <<EOFINNER | tee /launch-head.sh
 ray start --head \
     --disable-usage-stats \
-    --temp-dir=/ray-cluster \
+    --temp-dir=${RAY_TEMP_DIR} \
     --resources="{\"worker_units\": $gpus_per_node, \"slurm_managed_ray_cluster\": 1}" \
     --node-ip-address="$head_node_ip" \
     --port=${PORT} \
     --ray-client-server-port=${RAY_CLIENT_SERVER_PORT} \
-    --dashboard-grpc-port=${DASHBOARD_GRPC_PORT} \
     --dashboard-port=${DASHBOARD_PORT} \
     \
-    --node-manager-port=${NODE_MANAGER_PORT} \
-    --object-manager-port=${OBJECT_MANAGER_PORT} \
-    --runtime-env-agent-port=${RUNTIME_ENV_AGENT_PORT} \
-    --dashboard-agent-grpc-port=${DASHBOARD_AGENT_GRPC_PORT} \
-    --dashboard-agent-listen-port=${DASHBOARD_AGENT_LISTEN_PORT} \
-    --metrics-export-port=${METRICS_EXPORT_PORT} \
+    --node-manager-port=$((${NODE_MANAGER_PORT} + 1)) \
+    --object-manager-port=$((${OBJECT_MANAGER_PORT} + 1)) \
+    --runtime-env-agent-port=$((${RUNTIME_ENV_AGENT_PORT} + 1)) \
+    --dashboard-agent-grpc-port=$((${DASHBOARD_AGENT_GRPC_PORT} + 1)) \
+    --dashboard-agent-listen-port=$((${DASHBOARD_AGENT_LISTEN_PORT} + 1)) \
+    --metrics-export-port=$((${METRICS_EXPORT_PORT} + 1)) \
+    $RAY_DEBUGGER_ARGS \
     \
     --block
 EOFINNER
@@ -165,12 +279,21 @@ touch $LOG_DIR/ENDED
 exit 1
 EOF
 )
-srun {{ common_srun_args }} --container-name=ray-head --nodes=1 --ntasks=1 -w "$head_node" -o $LOG_DIR/{{ ray_log_prefix }}head.log bash -x -c "$head_cmd" &
+srun {{ common_srun_args }} --container-name=ray-head --exclusive --nodes=1 --ntasks=1 -w "$head_node" -o $LOG_DIR/{{ ray_log_prefix }}head.log bash -x -c "$head_cmd" &
+SRUN_PIDS["ray-head"]=$!
 
 # Wait for the head node container to start and for Ray to be ready
+elapsed_time=0
 while ! (srun --overlap --nodes=1 --ntasks=1 -w $head_node test -f $LOG_DIR/STARTED_RAY_HEAD && srun --overlap --container-name=ray-head --nodes=1 --ntasks=1 -w $head_node ray status --address $ip_head 2>/dev/null); do
-  echo "[INFO][$(date)] Waiting for Ray head node container to start and be ready..."
+  if [[ $elapsed_time -ge $RAY_HEAD_START_TIMEOUT ]]; then
+    echo "[ERROR][$(date)] Ray head node failed to start within $RAY_HEAD_START_TIMEOUT seconds. Exiting..."
+    touch $LOG_DIR/ENDED
+    exit 1
+  fi
+  echo "[INFO][$(date)] Waiting for Ray head node container to start and be ready... ($elapsed_time/$RAY_HEAD_START_TIMEOUT seconds)"
+  check_srun_processes
   sleep 2
+  elapsed_time=$((elapsed_time + 2))
 done
 
 NUM_ACTORS=$((gpus_per_node * SLURM_JOB_NUM_NODES))
@@ -209,8 +332,10 @@ monitor-sidecar() {
 }
 monitor-sidecar &
 
+# Patch nsight.py before starting Ray worker
+sed -i 's/context\.py_executable = " "\.join(self\.nsight_cmd) + " python"/context.py_executable = " ".join(self.nsight_cmd) + f" {context.py_executable}"/g' /opt/nemo_rl_venv/lib64/python*/site-packages/ray/_private/runtime_env/nsight.py
+
 cat <<EOFINNER | tee /launch-worker.sh
-sleep 5
 ray start --address "$ip_head" \
           --disable-usage-stats \
           --resources="{\"worker_units\": $gpus_per_node, \"slurm_managed_ray_cluster\": 1}" \
@@ -223,6 +348,7 @@ ray start --address "$ip_head" \
           --dashboard-agent-grpc-port=${DASHBOARD_AGENT_GRPC_PORT} \
           --dashboard-agent-listen-port=${DASHBOARD_AGENT_LISTEN_PORT} \
           --metrics-export-port=${METRICS_EXPORT_PORT} \
+          $RAY_DEBUGGER_ARGS \
           \
           --block
 EOFINNER
@@ -241,7 +367,8 @@ EOF
   if [[ $i -eq 0 ]]; then
     OVERLAP_HEAD_AND_WORKER_ARG="--overlap"
   fi
-  srun {{ common_srun_args }} ${OVERLAP_HEAD_AND_WORKER_ARG:-} --container-name=ray-worker-$i --exact --nodes=1 --ntasks=1 --cpus-per-task=$((16 * gpus_per_node)) -w "$node_i" -o $LOG_DIR/{{ ray_log_prefix }}worker-$i.log bash -x -c "$worker_cmd" &
+  srun {{ common_srun_args }} ${OVERLAP_HEAD_AND_WORKER_ARG:-} --container-name=ray-worker-$i --exclusive --nodes=1 --ntasks=1 -w "$node_i" -o $LOG_DIR/{{ ray_log_prefix }}worker-$i.log bash -x -c "$worker_cmd" &
+  SRUN_PIDS["ray-worker-$i"]=$!
   sleep 3
 done
 
@@ -265,9 +392,10 @@ extract_worker_units() {
 while true; do
   worker_units=$(extract_worker_units)
   echo "[INFO] Number of actors online: $worker_units/$NUM_ACTORS"
-  if [ "$worker_units" -eq "$NUM_ACTORS" ]; then
+  if [[ "$worker_units" -eq "$NUM_ACTORS" ]]; then
     break
   fi
+  check_srun_processes
   sleep 2
 done
 
diff --git a/nemo_run/run/ray/templates/ray_enroot.sub.j2 b/nemo_run/run/ray/templates/ray_enroot.sub.j2
new file mode 100644
index 00000000..6bb74ee9
--- /dev/null
+++ b/nemo_run/run/ray/templates/ray_enroot.sub.j2
@@ -0,0 +1,519 @@
+#!/bin/bash
+#
+# Generated by NeMo Run
+#
+
+# Parameters
+{%- for sbatch_flag in sbatch_flags %}
+{{sbatch_flag}}
+{%- endfor %}
+
+set -eoux pipefail
+
+########################################################
+# User defined variables
+########################################################
+export PYTHONUNBUFFERED=1
+export SLURM_UNBUFFEREDIO=1
+
+{%- for env_var in env_vars %}
+{{env_var}}
+{%- endfor %}
+
+# Ports for all nodes (should be odd numbers since we place head/worker[0] on the same node) so all workers get the odd ports, but the head will get +1 the ports
+NODE_MANAGER_PORT=${NODE_MANAGER_PORT:-53001}
+OBJECT_MANAGER_PORT=${OBJECT_MANAGER_PORT:-53003}
+RUNTIME_ENV_AGENT_PORT=${RUNTIME_ENV_AGENT_PORT:-53005}
+DASHBOARD_AGENT_GRPC_PORT=${DASHBOARD_AGENT_GRPC_PORT:-53007}
+METRICS_EXPORT_PORT=${METRICS_EXPORT_PORT:-53009}
+
+# Ports for the head node
+PORT=${PORT:-54514}
+RAY_CLIENT_SERVER_PORT=${RAY_CLIENT_SERVER_PORT:-10001}
+#REDIT_SHARD_PORTS=${REDIT_SHARD_PORTS:-"random"} ??
+DASHBOARD_PORT=${DASHBOARD_PORT:-8265}  # Also used by debugger
+DASHBOARD_AGENT_LISTEN_PORT=${DASHBOARD_AGENT_LISTEN_PORT:-52365}
+RAY_DEBUGGER_ARGS=
+if [ "${RAY_DEBUG:-}" = "legacy" ]; then
+  RAY_DEBUGGER_ARGS="--ray-debugger-external"
+fi
+
+# After ray>=2.47, this feature is enabled by default which creates uv venvs for any py_executable starting with `uv run`.
+# There is severe contention and performance issues with this enabled considering our dependencies are so large and occasionally
+# need to be compiled, so NeMo RL has an implementation in nemo_rl/utils/venv.py that does it once per node as opposed to once per task.
+export RAY_ENABLE_UV_RUN_RUNTIME_ENV=0
+
+# Setting ulimit is recommended by ray best practices page
+# @ https://docs.ray.io/en/latest/cluster/vms/user-guides/large-cluster-best-practices.html
+# It's session based and won't affect the system outside the script
+# Ensure that the soft limit isn't above the hard limit
+if [[ $(ulimit -Hn) == "unlimited" ]] || [[ 65535 -lt $(ulimit -Hn) ]]; then
+  ulimit -Sn 65535
+elif [[ $(ulimit -Hn) != "unlimited" ]] && [[ $(ulimit -Hn) -lt 65535 ]]; then
+  echo "[WARNING]: Cannot increase ulimit on file descriptors to 65535 according ray recommendation: https://docs.ray.io/en/latest/cluster/vms/user-guides/large-cluster-best-practices.html. Speak to cluster admins to increase, otherwise ray may crash unexpectedly."
+fi
+
+# On our clusters, the largest port range on an idle worker appeared between 52369-64607
+# (not including the other ports set by this script). So this range is chosen to be
+# somewhere in the middle
+MIN_WORKER_PORT=${MIN_WORKER_PORT:-54001}
+MAX_WORKER_PORT=${MAX_WORKER_PORT:-54513}
+
+# Ray temp directory (inside container). Used by --temp-dir and log sync sidecar
+RAY_TEMP_DIR=${RAY_TEMP_DIR:-/ray-cluster}
+
+# Number seconds to sync logs from /tmp/ray/session_*/logs to $LOG_DIR/ray/
+RAY_LOG_SYNC_FREQUENCY=${RAY_LOG_SYNC_FREQUENCY:-}
+
+# Timeout in seconds for Ray head node to start (default 10 minutes)
+RAY_HEAD_START_TIMEOUT=${RAY_HEAD_START_TIMEOUT:-600}
+
+# Directory setup
+export CLUSTER_DIR={{ cluster_dir }}
+mkdir -p $CLUSTER_DIR
+
+JOB_IDS_FILE="$CLUSTER_DIR/job_ids.json"
+if [[ -f "$JOB_IDS_FILE" ]]; then
+  tmp="$(mktemp)"
+  jq --arg id "$SLURM_JOB_ID" '. + [$id]' "$JOB_IDS_FILE" > "$tmp" && mv "$tmp" "$JOB_IDS_FILE"
+else
+  touch "$JOB_IDS_FILE"
+  echo "[\"$SLURM_JOB_ID\"]" > "$JOB_IDS_FILE"
+fi
+
+mkdir -p $CLUSTER_DIR/scripts
+
+export LOG_DIR={{ log_dir }}
+mkdir -p $LOG_DIR
+
+# Clean up any previous run files
+rm -f $LOG_DIR/STARTED_RAY_HEAD
+rm -f $LOG_DIR/ENDED
+
+# Defaults to placing uv cache inside the CLUSTER_DIR
+# This directory is mounted into the container at /home/ray/.cache/uv so it is shared between the head and worker nodes
+# UV_CACHE_DIR={{ uv_cache_dir }}
+# mkdir -p $UV_CACHE_DIR
+########################################################
+
+# Number of GPUs per node
+gpus_per_node=8
+
+num_retries={{ num_retries }}
+
+# Track backgrounded srun client PIDs for head and workers
+declare -A SRUN_PIDS
+
+# Verify all backgrounded srun client processes are still alive; exit fast if any died
+check_srun_processes() {
+  for name in "${!SRUN_PIDS[@]}"; do
+    pid="${SRUN_PIDS[$name]}"
+    # Check if the process is still running
+    if ! kill -0 "$pid" 2>/dev/null; then
+      echo "[ERROR] Background srun '$name' died (pid=$pid). Could be a failure in startup or an issue with the node preventing the srun to start. Attempting to exit." >&2
+      # Signal sidecars inside containers to terminate ASAP
+      touch "$LOG_DIR/ENDED"
+      exit 1
+    fi
+  done
+}
+
+# Getting the node names and IP addresses in the SLURM allocation
+nodes=$(scontrol show hostnames "$SLURM_JOB_NODELIST")
+nodes_array=($nodes)
+ip_addresses_array=()
+
+for node in $nodes; do
+    # Try multiple methods to get IP address - ENHANCED VERSION v2.0
+    echo "[DEBUG] Resolving hostname: $node using enhanced resolution methods"
+    ip_address=""
+
+    # Method 1: Try host command
+    echo "[DEBUG] Method 1: host command"
+    ip_address=$(host $node 2>/dev/null | awk '/has address/ { print $4 }' | head -1 || true)
+    echo "[DEBUG] host result: '$ip_address'"
+
+    # Method 2: If host fails, try getent
+    if [[ -z "$ip_address" ]]; then
+        echo "[DEBUG] Method 2: getent hosts"
+        ip_address=$(getent hosts $node 2>/dev/null | awk '{ print $1 }' | head -1 || true)
+        echo "[DEBUG] getent result: '$ip_address'"
+    fi
+
+    # Method 3: If getent fails, try nslookup
+    if [[ -z "$ip_address" ]]; then
+        echo "[DEBUG] Method 3: nslookup"
+        ip_address=$(nslookup $node 2>/dev/null | awk '/^Address: / { print $2 }' | head -1 || true)
+        echo "[DEBUG] nslookup result: '$ip_address'"
+    fi
+
+    # Method 4: If all DNS methods fail, try ping to extract IP
+    if [[ -z "$ip_address" ]]; then
+        echo "[DEBUG] Method 4: ping"
+        ip_address=$(ping -c 1 $node 2>/dev/null | grep "PING" | sed 's/.*(\([^)]*\)).*/\1/' || true)
+        echo "[DEBUG] ping result: '$ip_address'"
+    fi
+
+    # If still no IP, use the hostname itself (might work if it's already an IP or resolvable)
+    if [[ -z "$ip_address" ]]; then
+        echo "[WARNING] Could not resolve IP for $node, using hostname as fallback"
+        ip_address=$node
+    fi
+
+    echo "[INFO] Node: $node -> IP: $ip_address"
+    # Add the IP address to the array
+    ip_addresses_array+=("$ip_address")
+done
+
+head_node=${nodes_array[0]}
+head_node_ip=${ip_addresses_array[0]}
+
+ip_head=$head_node_ip:$PORT
+
+{%- if setup_lines %}
+{{setup_lines}}
+{%- endif %}
+
+########################################################
+# Ray cluster setup
+########################################################
+# First we start the head of the ray cluster on one of the physical nodes
+# Set GPU/CPU resources to 0 to avoid scheduling on the head node
+
+head_cmd=$(cat <<EOF
+# Touch a file to indicate that the head node has started
+# Overlapping srun commands will check this file to determine if we can overlap a container command
+touch $LOG_DIR/STARTED_RAY_HEAD
+env
+
+{%- if pre_ray_start_commands %}
+{{ pre_ray_start_commands }}
+{%- endif %}
+
+exit-dramatically() {
+    # Use SIGTERM to forcefully terminate the srun process
+    pkill -P $$ || true
+    kill -TERM 0 || true
+    # As a last resort, exit with a non-zero code
+    exit 1
+}
+export -f exit-dramatically
+
+# Background process to check for ENDED file
+monitor-sidecar() {
+  set +x
+  while true; do
+    sleep 60
+    if [[ -f "$LOG_DIR/ENDED" ]]; then
+      echo "Detected ENDED file, terminating..."
+      exit-dramatically
+    fi
+  done
+}
+monitor-sidecar &
+
+# Background process to sync ray logs every $RAY_LOG_SYNC_FREQUENCY seconds
+log-sync-sidecar() {
+  set +x
+  if [[ -z "$RAY_LOG_SYNC_FREQUENCY" ]]; then
+    echo "RAY_LOG_SYNC_FREQUENCY is not set, skipping log sync sidecar"
+    return
+  fi
+  mkdir -p $LOG_DIR/ray
+  while true; do
+    sleep $RAY_LOG_SYNC_FREQUENCY
+    if ls ${RAY_TEMP_DIR}/session_[0-9]* > /dev/null 2>&1; then
+      for session_dir in ${RAY_TEMP_DIR}/session_[0-9]*/; do
+        if [[ -d "\$session_dir/logs" ]]; then
+          session_name=\$(basename "\$session_dir")
+          mkdir -p "$LOG_DIR/ray/\$session_name"
+          if command -v rsync > /dev/null 2>&1; then
+            rsync -ahP "\$session_dir/logs/" "$LOG_DIR/ray/\$session_name/logs/" 2>/dev/null || true
+          else
+            cp -r "\$session_dir/logs" "$LOG_DIR/ray/\$session_name/"
+          fi
+        fi
+      done
+    fi
+    if [[ -f "$LOG_DIR/ENDED" ]]; then
+      echo "Log sync sidecar terminating..."
+      break
+    fi
+  done
+}
+log-sync-sidecar &
+
+# Patch nsight.py before starting Ray head
+sed -i 's/context\.py_executable = " "\.join(self\.nsight_cmd) + " python"/context.py_executable = " ".join(self.nsight_cmd) + f" {context.py_executable}"/g' /opt/nemo_rl_venv/lib64/python*/site-packages/ray/_private/runtime_env/nsight.py
+
+cat <<EOFINNER | tee /launch-head.sh
+ray start --head \
+    --disable-usage-stats \
+    --temp-dir=${RAY_TEMP_DIR} \
+    --resources="{\"worker_units\": $gpus_per_node, \"slurm_managed_ray_cluster\": 1}" \
+    --node-ip-address="$head_node_ip" \
+    --port=${PORT} \
+    --ray-client-server-port=${RAY_CLIENT_SERVER_PORT} \
+    --dashboard-port=${DASHBOARD_PORT} \
+    \
+    --node-manager-port=$((${NODE_MANAGER_PORT} + 1)) \
+    --object-manager-port=$((${OBJECT_MANAGER_PORT} + 1)) \
+    --runtime-env-agent-port=$((${RUNTIME_ENV_AGENT_PORT} + 1)) \
+    --dashboard-agent-grpc-port=$((${DASHBOARD_AGENT_GRPC_PORT} + 1)) \
+    --dashboard-agent-listen-port=$((${DASHBOARD_AGENT_LISTEN_PORT} + 1)) \
+    --metrics-export-port=$((${METRICS_EXPORT_PORT} + 1)) \
+    $RAY_DEBUGGER_ARGS \
+    \
+    --block
+EOFINNER
+chmod +x /launch-head.sh
+
+count=0
+while [[ \$count -lt $num_retries ]]; do
+  bash /launch-head.sh
+  count=\$((count+1))
+  echo "Head node failed \$count/$num_retries times, restarting in 5 seconds..."
+  sleep 5
+done
+touch $LOG_DIR/ENDED
+exit 1
+EOF
+)
+srun {{ common_srun_args }} --container-name=ray-head --exclusive --nodes=1 --ntasks=1 -w "$head_node" -o $LOG_DIR/{{ ray_log_prefix }}head.log bash -x -c "$head_cmd" &
+SRUN_PIDS["ray-head"]=$!
+
+# Helper function to get container PID using enroot (workaround for --overlap --container-name bug)
+get_container_pid() {
+  local node=$1
+  srun --overlap --nodes=1 -w "$node" bash -c "enroot list -f | awk 'NR>1 && \$2 ~ /^[0-9]+\$/ {print \$2; exit}'"
+}
+
+
+# Wait for the head node container to start and for Ray to be ready
+elapsed_time=0
+while true; do
+  if srun --overlap --nodes=1 --ntasks=1 -w $head_node test -f $LOG_DIR/STARTED_RAY_HEAD; then
+    head_container_pid=$(get_container_pid "$head_node")
+    if [[ -n "$head_container_pid" ]] && enroot exec "$head_container_pid" ray status --address $ip_head 2>/dev/null; then
+      break
+    fi
+  fi
+  if [[ $elapsed_time -ge $RAY_HEAD_START_TIMEOUT ]]; then
+    echo "[ERROR][$(date)] Ray head node failed to start within $RAY_HEAD_START_TIMEOUT seconds. Exiting..."
+    touch $LOG_DIR/ENDED
+    exit 1
+  fi
+  echo "[INFO][$(date)] Waiting for Ray head node container to start and be ready... ($elapsed_time/$RAY_HEAD_START_TIMEOUT seconds)"
+  check_srun_processes
+  sleep 2
+  elapsed_time=$((elapsed_time + 2))
+done
+
+NUM_ACTORS=$((gpus_per_node * SLURM_JOB_NUM_NODES))
+
+# Start Ray worker nodes
+# We want 1 Ray worker node per physical node
+# Worker nodes are started with ray start but without the --head flag
+for ((i = 1; i < SLURM_JOB_NUM_NODES; i++)); do
+  node_i=${nodes_array[$i]}
+
+  worker_cmd=$(cat <<EOF
+env
+
+{%- if pre_ray_start_commands %}
+{{ pre_ray_start_commands }}
+{%- endif %}
+
+exit-dramatically() {
+    # Use SIGTERM to forcefully terminate the srun process
+    pkill -P $$ || true
+    kill -TERM 0 || true
+    # As a last resort, exit with a non-zero code
+    exit 1
+}
+
+# Background process to check for ENDED file
+monitor-sidecar() {
+  set +x
+  while true; do
+    sleep 60
+    if [[ -f "$LOG_DIR/ENDED" ]]; then
+      echo "Detected ENDED file, terminating..."
+      exit-dramatically
+    fi
+  done
+}
+monitor-sidecar &
+
+# Patch nsight.py before starting Ray worker
+sed -i 's/context\.py_executable = " "\.join(self\.nsight_cmd) + " python"/context.py_executable = " ".join(self.nsight_cmd) + f" {context.py_executable}"/g' /opt/nemo_rl_venv/lib64/python*/site-packages/ray/_private/runtime_env/nsight.py
+
+cat <<EOFINNER | tee /launch-worker.sh
+ray start --address "$ip_head" \
+          --disable-usage-stats \
+          --resources="{\"worker_units\": $gpus_per_node, \"slurm_managed_ray_cluster\": 1}" \
+          --min-worker-port=${MIN_WORKER_PORT} \
+          --max-worker-port=${MAX_WORKER_PORT} \
+          \
+          --node-manager-port=${NODE_MANAGER_PORT} \
+          --object-manager-port=${OBJECT_MANAGER_PORT} \
+          --runtime-env-agent-port=${RUNTIME_ENV_AGENT_PORT} \
+          --dashboard-agent-grpc-port=${DASHBOARD_AGENT_GRPC_PORT} \
+          --dashboard-agent-listen-port=${DASHBOARD_AGENT_LISTEN_PORT} \
+          --metrics-export-port=${METRICS_EXPORT_PORT} \
+          $RAY_DEBUGGER_ARGS \
+          \
+          --block
+EOFINNER
+
+count=0
+while [[ \$count -lt $num_retries ]]; do
+  bash /launch-worker.sh
+  count=\$((count+1))
+  echo "Worker failed \$count/$num_retries times, restarting in 5 seconds..."
+  sleep 5
+done
+touch $LOG_DIR/ENDED
+exit 1
+EOF
+)
+  if [[ $i -eq 0 ]]; then
+    OVERLAP_HEAD_AND_WORKER_ARG="--overlap"
+  fi
+  srun {{ common_srun_args }} ${OVERLAP_HEAD_AND_WORKER_ARG:-} --container-name=ray-worker-$i --exclusive --nodes=1 --ntasks=1 -w "$node_i" -o $LOG_DIR/{{ ray_log_prefix }}worker-$i.log bash -x -c "$worker_cmd" &
+  SRUN_PIDS["ray-worker-$i"]=$!
+  sleep 3
+done
+
+# At this stage the Ray cluster bringup has started on the physical nodes in the allocation
+# Before we launch a job on this cluster we need to make sure that the bringup is complete
+# We do so by querying the number of worker_units in the ray cluster and asserting = NUM_ACTORS
+
+extract_worker_units() {
+  # Get the container PID for ray-head
+  head_container_pid=$(get_container_pid "$head_node")
+  if [[ -z "$head_container_pid" ]]; then
+    echo 0
+    return
+  fi
+
+  # Execute ray status inside the container using enroot exec
+  status_output=$(srun --overlap --nodes=1 -w "$head_node" enroot exec "$head_container_pid" ray status)
+  if echo "$status_output" | grep -q "worker_units"; then
+    worker_units=$(echo "$status_output" | grep "worker_units" | awk -F'[/. ]' '{print $4}')
+    echo $worker_units
+  else
+    echo 0
+  fi
+}
+
+# Poll to make sure that all Ray worker nodes have connected to the head.
+# All workers have connected when number of GPUs in ray cluster
+# is equal to NUM_ACTORS. We use the utility function above
+# to check how many GPUs have come online in the ray cluster
+while true; do
+  worker_units=$(extract_worker_units)
+  echo "[INFO] Number of actors online: $worker_units/$NUM_ACTORS"
+  if [[ "$worker_units" -eq "$NUM_ACTORS" ]]; then
+    break
+  fi
+  check_srun_processes
+  sleep 2
+done
+
+echo "All workers connected!"
+
+# Create JSON with Ray cluster information
+cat <<EOF >$CLUSTER_DIR/ray_cluster_info.json
+{
+  "head_ip": "$head_node_ip",
+  "dashboard_port": "$DASHBOARD_PORT",
+  "port": "$PORT"
+}
+EOF
+# Set up trap to clean up cluster info on job termination
+cleanup_cluster_info() {
+    echo "[INFO] Cleaning up Ray cluster information"
+    rm -f $CLUSTER_DIR/ray_cluster_info.json
+}
+
+# Register the cleanup function to run on script exit
+trap cleanup_cluster_info EXIT
+
+
+echo "[INFO] Ray cluster information saved to $CLUSTER_DIR/ray_cluster_info.json"
+
+########################################################
+
+{% if srun_commands %}
+# Run extra commands
+{% for srun_command in srun_commands %}
+{%- if loop.index <= group_env_vars|length %}
+{%- for env_var in group_env_vars[loop.index - 1] %}
+{{env_var}}
+{%- endfor %}
+{%- endif %}
+
+{{srun_command}}
+{% endfor %}
+########################################################
+{% endif -%}
+
+# We can now launch a job on this cluster
+# We do so by launching a driver process on the physical node that the head node is on
+# This driver process is responsible for launching a job on the Ray cluster
+CONTAINER_CWD=$(scontrol show job $SLURM_JOB_ID --json | jq -r '.jobs[].current_working_directory')
+# Define command to be empty by default
+COMMAND="${COMMAND:-{{ command | default('', true) }}}"
+COMMAND_WORKDIR={{ command_workdir | default('$CONTAINER_CWD') }}
+
+if [[ -n "$COMMAND" ]]; then
+  # Get container PID and execute command inside it
+  head_container_pid=$(get_container_pid "$head_node")
+  srun --overlap --nodes=1 -w "$head_node" -o $LOG_DIR/{{ ray_log_prefix }}job.log enroot exec "$head_container_pid" bash -c "cd $COMMAND_WORKDIR && $COMMAND"
+else
+  echo "[INFO]: Ray Cluster is idled, run this on the slurm head node to get a shell to the head node:"
+  cat <<EOF >$CLUSTER_DIR/scripts/${SLURM_JOB_ID}-attach.sh
+# No args launches on the head node (node 0)
+# Args 1-N launch on worker nodes (nodes 1 through N-1)
+# Optional: set COMMAND='...' to run non-interactively instead of opening an interactive shell
+
+# Helper to get container PID
+get_container_pid() {
+  local node=\$1
+  srun --overlap --nodes=1 -w "\$node" --jobid $SLURM_JOB_ID bash -c "enroot list -f | awk 'NR>1 && \\\$2 ~ /^[0-9]+\\\$/ {print \\\$2; exit}'"
+}
+
+WORKER_NUM=\\\${1:-}
+if [[ -z "\\\$WORKER_NUM" ]]; then
+  # Empty means we are on the head node
+  HEAD_PID=\\\$(get_container_pid "$head_node")
+  if [[ -n "\\\${COMMAND:-}" ]]; then
+    srun -A $SLURM_JOB_ACCOUNT -p $SLURM_JOB_PARTITION --overlap --nodes=1 -w "$head_node" --jobid $SLURM_JOB_ID enroot exec "\\\$HEAD_PID" bash -c "cd $CONTAINER_CWD && \\\$COMMAND"
+  else
+    srun -A $SLURM_JOB_ACCOUNT -p $SLURM_JOB_PARTITION --overlap --nodes=1 -w "$head_node" --jobid $SLURM_JOB_ID --pty enroot exec "\\\$HEAD_PID" bash -c "cd $CONTAINER_CWD && exec bash"
+  fi
+else
+  # Worker numbers 1 through N-1 correspond to ray-worker-1 through ray-worker-(N-1)
+  # and use nodes_array[1] through nodes_array[N-1]
+  if [[ \\\$WORKER_NUM -lt 1 || \\\$WORKER_NUM -ge $SLURM_JOB_NUM_NODES ]]; then
+    echo "Error: WORKER_NUM must be between 1 and $((SLURM_JOB_NUM_NODES-1))"
+    exit 1
+  fi
+  nodes_array=($nodes)
+  node="\\\${nodes_array[\\\$WORKER_NUM]}"
+  WORKER_PID=\\\$(get_container_pid "\\\$node")
+  if [[ -n "\\\${COMMAND:-}" ]]; then
+    srun -A $SLURM_JOB_ACCOUNT -p $SLURM_JOB_PARTITION --overlap --nodes=1 -w "\\\$node" --jobid $SLURM_JOB_ID enroot exec "\\\$WORKER_PID" bash -c "cd $CONTAINER_CWD && \\\$COMMAND"
+  else
+    srun -A $SLURM_JOB_ACCOUNT -p $SLURM_JOB_PARTITION --overlap --nodes=1 -w "\\\$node" --jobid $SLURM_JOB_ID --pty enroot exec "\\\$WORKER_PID" bash -c "cd $CONTAINER_CWD && exec bash"
+  fi
+fi
+EOF
+  chmod +x $CLUSTER_DIR/scripts/${SLURM_JOB_ID}-attach.sh
+  echo "     COMMAND='echo hello' bash $CLUSTER_DIR/scripts/${SLURM_JOB_ID}-attach.sh    # run a non-interactive command on head node"
+  echo "     bash $CLUSTER_DIR/scripts/${SLURM_JOB_ID}-attach.sh    # to attach to head node (i.e., 'worker 0')"
+  echo "     bash $CLUSTER_DIR/scripts/${SLURM_JOB_ID}-attach.sh 1  # to attach to worker 1"
+  echo "     bash $CLUSTER_DIR/scripts/${SLURM_JOB_ID}-attach.sh 2  # to attach to worker 2, etc."
+  sleep infinity
+fi
diff --git a/nemo_run/run/torchx_backend/components/torchrun.py b/nemo_run/run/torchx_backend/components/torchrun.py
index f1ea4d4f..d9599b0d 100644
--- a/nemo_run/run/torchx_backend/components/torchrun.py
+++ b/nemo_run/run/torchx_backend/components/torchrun.py
@@ -128,8 +128,11 @@ def torchrun(
         num_nodes = nnodes_rep
         nproc_per_node = str(nproc_per_node)
 
+        # set node rank to relative node id in the current allocation
         if use_env and os.getenv("NODE_RANK"):
             node_rank = os.environ["NODE_RANK"]
+        elif use_env and os.getenv("SLURM_NODEID"):
+            node_rank = os.environ["SLURM_NODEID"]
         else:
             node_rank = torchx_dist._noquote(f"$${ExecutorMacros.NODE_RANK_VAR}")
 
diff --git a/nemo_run/run/torchx_backend/launcher.py b/nemo_run/run/torchx_backend/launcher.py
index ff51c23c..78c56797 100644
--- a/nemo_run/run/torchx_backend/launcher.py
+++ b/nemo_run/run/torchx_backend/launcher.py
@@ -45,6 +45,7 @@ def launch(
     parent_run_id: Optional[str] = None,
     runner: Runner | None = None,
     log_dryrun: bool = ...,
+    dryrun_info: specs.AppDryRunInfo | None = None,
 ) -> tuple[None, None]: ...
 
 
@@ -59,6 +60,7 @@ def launch(
     parent_run_id: Optional[str] = None,
     runner: Runner | None = None,
     log_dryrun: bool = ...,
+    dryrun_info: specs.AppDryRunInfo | None = None,
 ) -> tuple[str, specs.AppStatus]: ...
 
 
@@ -73,6 +75,7 @@ def launch(
     parent_run_id: Optional[str] = None,
     runner: Runner | None = None,
     log_dryrun: bool = False,
+    dryrun_info: specs.AppDryRunInfo | None = None,
 ) -> tuple[str | None, specs.AppStatus | None]: ...
 
 
@@ -86,7 +89,8 @@ def launch(
     parent_run_id: Optional[str] = None,
     runner: Runner | None = None,
     log_dryrun: bool = False,
-) -> tuple[str | None, specs.AppStatus | None]:
+    dryrun_info: specs.AppDryRunInfo | None = None,
+) -> tuple[str | None, specs.AppStatus | specs.AppDryRunInfo | None]:
     runner = runner or get_runner()
 
     if dryrun:
@@ -100,13 +104,14 @@ def launch(
             CONSOLE.log("\n=== APPLICATION ===\n")
             CONSOLE.log(dryrun_info)
 
-        return None, None
+        return None, dryrun_info
     else:
         app_handle = runner.run(
             executable,
             executor_name,
             cfg=executor,  # type: ignore
             parent_run_id=parent_run_id,
+            dryrun_info=dryrun_info,
         )
         logger.info(f"Launched app: {app_handle}")
         app_status = specs.AppStatus(state=specs.AppState.SUBMITTED)
diff --git a/nemo_run/run/torchx_backend/packaging.py b/nemo_run/run/torchx_backend/packaging.py
index 8df51dd5..84b9dc4c 100644
--- a/nemo_run/run/torchx_backend/packaging.py
+++ b/nemo_run/run/torchx_backend/packaging.py
@@ -47,6 +47,7 @@ def package(
     env: Optional[dict[str, str]] = None,
     mounts: Optional[list[str]] = None,
     serialize_to_file: bool = False,
+    serialize_metadata_for_scripts: bool = True,
 ):
     default_cmd = ["-m", "nemo_run.core.runners.fdl_runner"]
 
@@ -135,7 +136,8 @@ def _get_details_from_script(fn_or_script: Script, serialize_configs: bool):
         metadata = {}
     else:
         role_args, args, m, no_python, script, entrypoint = _get_details_from_script(
-            fn_or_script, serialize_configs=True
+            fn_or_script,
+            serialize_configs=serialize_metadata_for_scripts,
         )
         metadata = fn_or_script.metadata
         if fn_or_script.env:
diff --git a/nemo_run/run/torchx_backend/runner.py b/nemo_run/run/torchx_backend/runner.py
index 491de35f..7de27e83 100644
--- a/nemo_run/run/torchx_backend/runner.py
+++ b/nemo_run/run/torchx_backend/runner.py
@@ -75,15 +75,17 @@ def run(  # type: ignore
         cfg: Optional[Executor] = None,
         workspace: Optional[str] = None,
         parent_run_id: Optional[str] = None,
+        dryrun_info: Optional[AppDryRunInfo] = None,
     ) -> AppHandle:
         with log_event(api="run", workspace=workspace) as ctx:
-            dryrun_info = self.dryrun(
-                app,
-                scheduler,
-                cfg=cfg,
-                workspace=workspace,
-                parent_run_id=parent_run_id,
-            )
+            if dryrun_info is None:
+                dryrun_info = self.dryrun(
+                    app,
+                    scheduler,
+                    cfg=cfg,
+                    workspace=workspace,
+                    parent_run_id=parent_run_id,
+                )
             handle = self.schedule(dryrun_info)
             ctx._torchx_event.scheduler = none_throws(dryrun_info._scheduler)
             ctx._torchx_event.app_image = none_throws(dryrun_info._app).roles[0].image
diff --git a/nemo_run/run/torchx_backend/schedulers/api.py b/nemo_run/run/torchx_backend/schedulers/api.py
index 5ade157d..a33ee20a 100644
--- a/nemo_run/run/torchx_backend/schedulers/api.py
+++ b/nemo_run/run/torchx_backend/schedulers/api.py
@@ -24,10 +24,12 @@
 from nemo_run.core.execution.local import LocalExecutor
 from nemo_run.core.execution.skypilot import SkypilotExecutor
 from nemo_run.core.execution.slurm import SlurmExecutor
+from nemo_run.core.execution.skypilot_jobs import SkypilotJobsExecutor
 
 EXECUTOR_MAPPING: dict[Type[Executor], str] = {
     SlurmExecutor: "slurm_tunnel",
     SkypilotExecutor: "skypilot",
+    SkypilotJobsExecutor: "skypilot_jobs",
     LocalExecutor: "local_persistent",
     DockerExecutor: "docker_persistent",
     DGXCloudExecutor: "dgx_cloud",
@@ -37,6 +39,7 @@
 REVERSE_EXECUTOR_MAPPING: dict[str, Type[Executor]] = {
     "slurm_tunnel": SlurmExecutor,
     "skypilot": SkypilotExecutor,
+    "skypilot_jobs": SkypilotJobsExecutor,
     "local_persistent": LocalExecutor,
     "docker_persistent": DockerExecutor,
     "dgx_cloud": DGXCloudExecutor,
diff --git a/nemo_run/run/torchx_backend/schedulers/dgxcloud.py b/nemo_run/run/torchx_backend/schedulers/dgxcloud.py
index 1489ecaf..0865da58 100644
--- a/nemo_run/run/torchx_backend/schedulers/dgxcloud.py
+++ b/nemo_run/run/torchx_backend/schedulers/dgxcloud.py
@@ -1,3 +1,18 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import json
 import logging
 import os
diff --git a/nemo_run/run/torchx_backend/schedulers/docker.py b/nemo_run/run/torchx_backend/schedulers/docker.py
index e3124a02..4f68920c 100644
--- a/nemo_run/run/torchx_backend/schedulers/docker.py
+++ b/nemo_run/run/torchx_backend/schedulers/docker.py
@@ -14,6 +14,7 @@
 # limitations under the License.
 
 import glob
+import json
 import logging
 import os
 from datetime import datetime
@@ -157,17 +158,35 @@ def describe(self, app_id: str) -> Optional[DescribeAppResponse]:
             roles[role].num_replicas += 1
 
             c = container.get_container(client=self._docker_client, id=app_id)
-            _state = self._get_app_state(c) if c else AppState.SUCCEEDED
-
-            roles_statuses[role].replicas.append(
-                ReplicaStatus(
-                    id=0,
-                    role=role,
-                    state=_state,
-                    hostname=container.name,
+            _state = self._get_app_state(c) if c is not None else None
+
+            if _state is not None:
+                roles_statuses[role].replicas.append(
+                    ReplicaStatus(
+                        id=0,
+                        role=role,
+                        state=_state,
+                        hostname=container.name,
+                    )
                 )
-            )
-            states.append(_state)
+                states.append(_state)
+            else:
+                status_file = os.path.join(req.executor.job_dir, f"status_{role}.out")
+                if os.path.exists(status_file):
+                    with open(status_file, "r") as f:
+                        status = json.load(f)
+                        roles_statuses[role].replicas.append(
+                            ReplicaStatus(
+                                id=0,
+                                role=role,
+                                state=int(status["exit_code"]),
+                                hostname=container.name,
+                            )
+                        )
+                        state = (
+                            AppState.FAILED if int(status["exit_code"]) != 0 else AppState.SUCCEEDED
+                        )
+                        states.append(state)
 
         state = AppState.UNKNOWN
         if any(is_terminal(state) for state in states):
@@ -175,7 +194,7 @@ def describe(self, app_id: str) -> Optional[DescribeAppResponse]:
                 state = AppState.SUCCEEDED
             else:
                 state = AppState.FAILED
-        else:
+        elif len(states) > 0:
             state = next(state for state in states if not is_terminal(state))
 
         return DescribeAppResponse(
diff --git a/nemo_run/run/torchx_backend/schedulers/lepton.py b/nemo_run/run/torchx_backend/schedulers/lepton.py
index f68e86a2..0b012c19 100644
--- a/nemo_run/run/torchx_backend/schedulers/lepton.py
+++ b/nemo_run/run/torchx_backend/schedulers/lepton.py
@@ -1,3 +1,18 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import json
 import logging
 import os
diff --git a/nemo_run/run/torchx_backend/schedulers/skypilot_jobs.py b/nemo_run/run/torchx_backend/schedulers/skypilot_jobs.py
new file mode 100644
index 00000000..d364c359
--- /dev/null
+++ b/nemo_run/run/torchx_backend/schedulers/skypilot_jobs.py
@@ -0,0 +1,255 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import json
+import os
+import shutil
+import tempfile
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Any, Optional
+
+from torchx.schedulers.api import (
+    AppDryRunInfo,
+    DescribeAppResponse,
+    ListAppResponse,
+    Scheduler,
+)
+from torchx.specs import (
+    AppDef,
+    AppState,
+    ReplicaStatus,
+    Role,
+    RoleStatus,
+    runopts,
+)
+
+from nemo_run.config import get_nemorun_home
+from nemo_run.core.execution.base import Executor
+from nemo_run.core.execution.skypilot import _SKYPILOT_AVAILABLE
+from nemo_run.core.execution.skypilot_jobs import SkypilotJobsExecutor
+from nemo_run.run.torchx_backend.schedulers.api import SchedulerMixin
+
+try:
+    import fcntl
+
+    FCNTL_AVAILABLE = True
+except ModuleNotFoundError:
+    fcntl = None
+    FCNTL_AVAILABLE = False
+
+SKYPILOT_STATES = {}
+try:
+    import sky.task as skyt
+    from sky.jobs.state import ManagedJobStatus
+
+    SKYPILOT_STATES: dict[ManagedJobStatus, AppState] = {
+        ManagedJobStatus.PENDING: AppState.PENDING,
+        ManagedJobStatus.DEPRECATED_SUBMITTED: AppState.SUBMITTED,
+        ManagedJobStatus.STARTING: AppState.SUBMITTED,
+        ManagedJobStatus.RUNNING: AppState.RUNNING,
+        ManagedJobStatus.RECOVERING: AppState.RUNNING,
+        ManagedJobStatus.CANCELLING: AppState.CANCELLED,
+        ManagedJobStatus.SUCCEEDED: AppState.SUCCEEDED,
+        ManagedJobStatus.CANCELLED: AppState.CANCELLED,
+        ManagedJobStatus.FAILED: AppState.FAILED,
+        ManagedJobStatus.FAILED_SETUP: AppState.FAILED,
+        ManagedJobStatus.FAILED_PRECHECKS: AppState.FAILED,
+        ManagedJobStatus.FAILED_NO_RESOURCE: AppState.FAILED,
+        ManagedJobStatus.FAILED_CONTROLLER: AppState.FAILED,
+    }
+except ImportError:
+    # suppress import error so we don't crash if skypilot is not installed.
+    pass
+
+SKYPILOT_JOB_DIRS = os.path.join(get_nemorun_home(), ".skypilot_jobs.json")
+
+
+@dataclass
+class SkypilotJobsRequest:
+    task: "skyt.Task"
+    executor: SkypilotJobsExecutor
+
+
+class SkypilotJobsScheduler(SchedulerMixin, Scheduler[dict[str, str]]):  # type: ignore
+    def __init__(self, session_name: str) -> None:
+        super().__init__("skypilot_jobs", session_name)
+        assert _SKYPILOT_AVAILABLE, (
+            'Skypilot is not installed. Please install it using `pip install "nemo_run[skypilot]"`'
+        )
+
+    def _run_opts(self) -> runopts:
+        opts = runopts()
+        opts.add(
+            "job_dir",
+            type_=str,
+            help="""The directory to place the job code and outputs. The
+            directory must not exist and will be created.
+            """,
+        )
+        return opts
+
+    def schedule(self, dryrun_info: AppDryRunInfo[SkypilotJobsRequest]) -> str:
+        req = dryrun_info.request
+        task = req.task
+
+        executor = req.executor
+        executor.package(executor.packager, job_name=executor.job_name)
+        job_id, handle = executor.launch(task)
+        assert job_id and handle, (
+            f"Failed scheduling run on Skypilot. Job id: {job_id}, Handle: {handle}"
+        )
+        app_id = f"{handle.get_cluster_name()}___{task.name}___{job_id}"
+        task_details = SkypilotJobsExecutor.status(app_id=app_id)
+        if task_details:
+            _save_job_dir(
+                app_id,
+                job_status=task_details["status"].value,
+            )
+
+        return app_id
+
+    def _submit_dryrun(  # type: ignore
+        self, app: AppDef, cfg: Executor
+    ) -> AppDryRunInfo[SkypilotJobsRequest]:
+        from sky.utils import common_utils
+
+        assert isinstance(cfg, SkypilotJobsExecutor), (
+            f"{cfg.__class__} not supported for skypilot jobs scheduler."
+        )
+        executor = cfg
+
+        assert len(app.roles) == 1, "Only 1 role supported for Skypilot jobs executor."
+        role = app.roles[0]
+        values = executor.macro_values()
+        if values:
+            role = values.apply(role)
+
+        cmd = [role.entrypoint] + role.args
+        task = cfg.to_task(name=role.name, cmd=cmd, env_vars=role.env)
+
+        req = SkypilotJobsRequest(task=task, executor=cfg)
+        return AppDryRunInfo(req, lambda req: common_utils.dump_yaml_str(req.task.to_yaml_config()))
+
+    def _validate(self, app: AppDef, scheduler: str) -> None:
+        # Skip validation step for skypilot
+        pass
+
+    def describe(self, app_id: str) -> Optional[DescribeAppResponse]:
+        from sky.jobs.state import ManagedJobStatus
+
+        _, task_name, _ = SkypilotJobsExecutor.parse_app(app_id=app_id)
+        task_details = SkypilotJobsExecutor.status(app_id=app_id)
+
+        roles = [Role(name=task_name, image="", num_replicas=1)]
+        roles_statuses = [
+            RoleStatus(
+                task_name,
+                replicas=[
+                    ReplicaStatus(
+                        id=0,
+                        role=task_name,
+                        state=AppState.SUBMITTED,
+                        hostname="skypilot-api",
+                    )
+                ],
+            )
+        ]
+
+        if not task_details:
+            past_apps = _get_job_dirs()
+            if app_id in past_apps and "job_status" in past_apps[app_id]:
+                job_status = ManagedJobStatus[past_apps[app_id]["job_status"]]
+                app_state = SKYPILOT_STATES[job_status]
+                roles_statuses[0].replicas[0].state = app_state
+                return DescribeAppResponse(
+                    app_id=app_id,
+                    roles=roles,
+                    roles_statuses=roles_statuses,
+                    state=app_state,
+                    msg="",
+                )
+            else:
+                return None
+        else:
+            app_state = SKYPILOT_STATES[task_details["status"]]
+            _save_job_dir(
+                app_id,
+                job_status=task_details["status"].value,
+            )
+            roles_statuses[0].replicas[0].state = app_state
+            return DescribeAppResponse(
+                app_id=app_id,
+                roles=roles,
+                roles_statuses=roles_statuses,
+                state=app_state,
+                msg="",
+            )
+
+    def _cancel_existing(self, app_id: str) -> None:
+        SkypilotJobsExecutor.cancel(app_id=app_id)
+
+    def list(self) -> list[ListAppResponse]:
+        pass
+
+
+def create_scheduler(session_name: str, **kwargs: Any) -> SkypilotJobsScheduler:
+    return SkypilotJobsScheduler(
+        session_name=session_name,
+    )
+
+
+def _save_job_dir(app_id: str, job_status: str) -> None:
+    original_apps = {}
+    if not os.path.isfile(SKYPILOT_JOB_DIRS):
+        os.makedirs(os.path.dirname(SKYPILOT_JOB_DIRS), exist_ok=True)
+        Path(SKYPILOT_JOB_DIRS).touch()
+
+    with open(SKYPILOT_JOB_DIRS, "r+") as f:
+        if FCNTL_AVAILABLE:
+            assert fcntl
+            fcntl.flock(f, fcntl.LOCK_EX)
+
+        try:
+            try:
+                original_apps = json.load(f)
+            except Exception:
+                original_apps = {}
+
+            app = {
+                "job_status": job_status,
+            }
+            original_apps[app_id] = app
+
+            with tempfile.NamedTemporaryFile(mode="w+") as fp:
+                json.dump(original_apps, fp)
+                fp.flush()
+
+                shutil.copy(fp.name, SKYPILOT_JOB_DIRS)
+                fp.close()
+        finally:
+            if FCNTL_AVAILABLE:
+                assert fcntl
+                fcntl.flock(f, fcntl.LOCK_UN)
+
+
+def _get_job_dirs() -> dict[str, dict[str, str]]:
+    try:
+        with open(SKYPILOT_JOB_DIRS, "r") as f:
+            apps: dict[str, dict[str, str]] = json.load(f)
+    except FileNotFoundError:
+        return {}
+
+    return apps
diff --git a/nemo_run/run/torchx_backend/schedulers/slurm.py b/nemo_run/run/torchx_backend/schedulers/slurm.py
index 48c68084..358419c0 100644
--- a/nemo_run/run/torchx_backend/schedulers/slurm.py
+++ b/nemo_run/run/torchx_backend/schedulers/slurm.py
@@ -114,12 +114,14 @@ def _submit_dryrun(self, app: AppDef, cfg: Executor) -> AppDryRunInfo[Any]:  # t
                 srun_cmds.append([" ".join(srun_cmd)])
 
             command = [app.roles[0].entrypoint] + app.roles[0].args
+            # Allow selecting Ray template via environment variable
+            ray_template_name = os.environ.get("NEMO_RUN_SLURM_RAY_TEMPLATE", "ray.sub.j2")
             req = SlurmRayRequest(
                 name=app.roles[0].name,
                 launch_cmd=["sbatch", "--requeue", "--parsable"],
                 command=" ".join(command),
                 cluster_dir=os.path.join(executor.tunnel.job_dir, Path(job_dir).name, "ray"),
-                template_name="ray.sub.j2",
+                template_name=ray_template_name,
                 executor=executor,
                 workdir=f"/{RUNDIR_NAME}/code",
                 nemo_run_dir=os.path.join(executor.tunnel.job_dir, Path(job_dir).name),
diff --git a/pyproject.toml b/pyproject.toml
index 7f930706..34e636b7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -48,13 +48,14 @@ local_persistent = "nemo_run.run.torchx_backend.schedulers.local:create_schedule
 docker_persistent = "nemo_run.run.torchx_backend.schedulers.docker:create_scheduler"
 dgx_cloud = "nemo_run.run.torchx_backend.schedulers.dgxcloud:create_scheduler"
 lepton = "nemo_run.run.torchx_backend.schedulers.lepton:create_scheduler"
+skypilot_jobs = "nemo_run.run.torchx_backend.schedulers.skypilot_jobs:create_scheduler"
 
 [project.optional-dependencies]
 skypilot = [
-    "skypilot[kubernetes]>=0.9.2",
+    "skypilot[kubernetes]>=0.10.0",
 ]
 skypilot-all = [
-    "skypilot[all]>=0.9.2",
+    "skypilot[all]>=0.10.0",
 ]
 ray = [
     "kubernetes"
@@ -86,6 +87,8 @@ docs = [
     "sphinx-autoapi>=3.0.0",
     "nvidia-sphinx-theme",
     "sphinxcontrib-mermaid",
+    "sphinx-copybutton>=0.5.2",
+    "sphinx-new-tab-link>=0.8.0",
 ]
 
 [build-system]
diff --git a/test/cli/test_config.py b/test/cli/test_config.py
index 5a21998d..ea334e3c 100644
--- a/test/cli/test_config.py
+++ b/test/cli/test_config.py
@@ -1,3 +1,18 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import pytest
 import json
 import toml
diff --git a/test/cli/test_lazy.py b/test/cli/test_lazy.py
index 94c7e28e..dd74b94e 100644
--- a/test/cli/test_lazy.py
+++ b/test/cli/test_lazy.py
@@ -1,3 +1,18 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 from dataclasses import dataclass
 from pathlib import Path
 from typing import Dict, List, Literal, Optional, Union
diff --git a/test/core/execution/artifacts/expected_ray_cluster.sub b/test/core/execution/artifacts/expected_ray_cluster.sub
index 354a3660..22564085 100644
--- a/test/core/execution/artifacts/expected_ray_cluster.sub
+++ b/test/core/execution/artifacts/expected_ray_cluster.sub
@@ -30,18 +30,45 @@ DASHBOARD_AGENT_GRPC_PORT=${DASHBOARD_AGENT_GRPC_PORT:-53007}
 METRICS_EXPORT_PORT=${METRICS_EXPORT_PORT:-53009}
 
 # Ports for the head node
-PORT=${PORT:-6379}
+PORT=${PORT:-54514}
 RAY_CLIENT_SERVER_PORT=${RAY_CLIENT_SERVER_PORT:-10001}
 #REDIT_SHARD_PORTS=${REDIT_SHARD_PORTS:-"random"} ??
-DASHBOARD_GRPC_PORT=${DASHBOARD_GRPC_PORT:-52367}
 DASHBOARD_PORT=${DASHBOARD_PORT:-8265}  # Also used by debugger
 DASHBOARD_AGENT_LISTEN_PORT=${DASHBOARD_AGENT_LISTEN_PORT:-52365}
+RAY_DEBUGGER_ARGS=
+if [ "${RAY_DEBUG:-}" = "legacy" ]; then
+  RAY_DEBUGGER_ARGS="--ray-debugger-external"
+fi
+
+# After ray>=2.47, this feature is enabled by default which creates uv venvs for any py_executable starting with `uv run`.
+# There is severe contention and performance issues with this enabled considering our dependencies are so large and occasionally
+# need to be compiled, so NeMo RL has an implementation in nemo_rl/utils/venv.py that does it once per node as opposed to once per task.
+export RAY_ENABLE_UV_RUN_RUNTIME_ENV=0
+
+# Setting ulimit is recommended by ray best practices page
+# @ https://docs.ray.io/en/latest/cluster/vms/user-guides/large-cluster-best-practices.html
+# It's session based and won't affect the system outside the script
+# Ensure that the soft limit isn't above the hard limit
+if [[ $(ulimit -Hn) == "unlimited" ]] || [[ 65535 -lt $(ulimit -Hn) ]]; then
+  ulimit -Sn 65535
+elif [[ $(ulimit -Hn) != "unlimited" ]] && [[ $(ulimit -Hn) -lt 65535 ]]; then
+  echo "[WARNING]: Cannot increase ulimit on file descriptors to 65535 according ray recommendation: https://docs.ray.io/en/latest/cluster/vms/user-guides/large-cluster-best-practices.html. Speak to cluster admins to increase, otherwise ray may crash unexpectedly."
+fi
 
 # On our clusters, the largest port range on an idle worker appeared between 52369-64607
 # (not including the other ports set by this script). So this range is chosen to be
 # somewhere in the middle
 MIN_WORKER_PORT=${MIN_WORKER_PORT:-54001}
-MAX_WORKER_PORT=${MAX_WORKER_PORT:-54257}
+MAX_WORKER_PORT=${MAX_WORKER_PORT:-54513}
+
+# Ray temp directory (inside container). Used by --temp-dir and log sync sidecar
+RAY_TEMP_DIR=${RAY_TEMP_DIR:-/ray-cluster}
+
+# Number seconds to sync logs from /tmp/ray/session_*/logs to $LOG_DIR/ray/
+RAY_LOG_SYNC_FREQUENCY=${RAY_LOG_SYNC_FREQUENCY:-}
+
+# Timeout in seconds for Ray head node to start (default 10 minutes)
+RAY_HEAD_START_TIMEOUT=${RAY_HEAD_START_TIMEOUT:-600}
 
 # Directory setup
 export CLUSTER_DIR=/tmp/test_jobs/test-ray-cluster
@@ -76,13 +103,66 @@ gpus_per_node=8
 
 num_retries=1
 
+# Track backgrounded srun client PIDs for head and workers
+declare -A SRUN_PIDS
+
+# Verify all backgrounded srun client processes are still alive; exit fast if any died
+check_srun_processes() {
+  for name in "${!SRUN_PIDS[@]}"; do
+    pid="${SRUN_PIDS[$name]}"
+    # Check if the process is still running
+    if ! kill -0 "$pid" 2>/dev/null; then
+      echo "[ERROR] Background srun '$name' died (pid=$pid). Could be a failure in startup or an issue with the node preventing the srun to start. Attempting to exit." >&2
+      # Signal sidecars inside containers to terminate ASAP
+      touch "$LOG_DIR/ENDED"
+      exit 1
+    fi
+  done
+}
+
 # Getting the node names and IP addresses in the SLURM allocation
 nodes=$(scontrol show hostnames "$SLURM_JOB_NODELIST")
 nodes_array=($nodes)
 ip_addresses_array=()
 
 for node in $nodes; do
-    ip_address=$(host $node | awk '/has address/ { print $4 }')
+    # Try multiple methods to get IP address - ENHANCED VERSION v2.0
+    echo "[DEBUG] Resolving hostname: $node using enhanced resolution methods"
+    ip_address=""
+
+    # Method 1: Try host command
+    echo "[DEBUG] Method 1: host command"
+    ip_address=$(host $node 2>/dev/null | awk '/has address/ { print $4 }' | head -1 || true)
+    echo "[DEBUG] host result: '$ip_address'"
+
+    # Method 2: If host fails, try getent
+    if [[ -z "$ip_address" ]]; then
+        echo "[DEBUG] Method 2: getent hosts"
+        ip_address=$(getent hosts $node 2>/dev/null | awk '{ print $1 }' | head -1 || true)
+        echo "[DEBUG] getent result: '$ip_address'"
+    fi
+
+    # Method 3: If getent fails, try nslookup
+    if [[ -z "$ip_address" ]]; then
+        echo "[DEBUG] Method 3: nslookup"
+        ip_address=$(nslookup $node 2>/dev/null | awk '/^Address: / { print $2 }' | head -1 || true)
+        echo "[DEBUG] nslookup result: '$ip_address'"
+    fi
+
+    # Method 4: If all DNS methods fail, try ping to extract IP
+    if [[ -z "$ip_address" ]]; then
+        echo "[DEBUG] Method 4: ping"
+        ip_address=$(ping -c 1 $node 2>/dev/null | grep "PING" | sed 's/.*(\([^)]*\)).*/\1/' || true)
+        echo "[DEBUG] ping result: '$ip_address'"
+    fi
+
+    # If still no IP, use the hostname itself (might work if it's already an IP or resolvable)
+    if [[ -z "$ip_address" ]]; then
+        echo "[WARNING] Could not resolve IP for $node, using hostname as fallback"
+        ip_address=$node
+    fi
+
+    echo "[INFO] Node: $node -> IP: $ip_address"
     # Add the IP address to the array
     ip_addresses_array+=("$ip_address")
 done
@@ -126,23 +206,57 @@ monitor-sidecar() {
 }
 monitor-sidecar &
 
+# Background process to sync ray logs every $RAY_LOG_SYNC_FREQUENCY seconds
+log-sync-sidecar() {
+  set +x
+  if [[ -z "$RAY_LOG_SYNC_FREQUENCY" ]]; then
+    echo "RAY_LOG_SYNC_FREQUENCY is not set, skipping log sync sidecar"
+    return
+  fi
+  mkdir -p $LOG_DIR/ray
+  while true; do
+    sleep $RAY_LOG_SYNC_FREQUENCY
+    if ls ${RAY_TEMP_DIR}/session_[0-9]* > /dev/null 2>&1; then
+      for session_dir in ${RAY_TEMP_DIR}/session_[0-9]*/; do
+        if [[ -d "\$session_dir/logs" ]]; then
+          session_name=\$(basename "\$session_dir")
+          mkdir -p "$LOG_DIR/ray/\$session_name"
+          if command -v rsync > /dev/null 2>&1; then
+            rsync -ahP "\$session_dir/logs/" "$LOG_DIR/ray/\$session_name/logs/" 2>/dev/null || true
+          else
+            cp -r "\$session_dir/logs" "$LOG_DIR/ray/\$session_name/"
+          fi
+        fi
+      done
+    fi
+    if [[ -f "$LOG_DIR/ENDED" ]]; then
+      echo "Log sync sidecar terminating..."
+      break
+    fi
+  done
+}
+log-sync-sidecar &
+
+# Patch nsight.py before starting Ray head
+sed -i 's/context\.py_executable = " "\.join(self\.nsight_cmd) + " python"/context.py_executable = " ".join(self.nsight_cmd) + f" {context.py_executable}"/g' /opt/nemo_rl_venv/lib64/python*/site-packages/ray/_private/runtime_env/nsight.py
+
 cat <<EOFINNER | tee /launch-head.sh
 ray start --head \
     --disable-usage-stats \
-    --temp-dir=/ray-cluster \
+    --temp-dir=${RAY_TEMP_DIR} \
     --resources="{\"worker_units\": $gpus_per_node, \"slurm_managed_ray_cluster\": 1}" \
     --node-ip-address="$head_node_ip" \
     --port=${PORT} \
     --ray-client-server-port=${RAY_CLIENT_SERVER_PORT} \
-    --dashboard-grpc-port=${DASHBOARD_GRPC_PORT} \
     --dashboard-port=${DASHBOARD_PORT} \
     \
-    --node-manager-port=${NODE_MANAGER_PORT} \
-    --object-manager-port=${OBJECT_MANAGER_PORT} \
-    --runtime-env-agent-port=${RUNTIME_ENV_AGENT_PORT} \
-    --dashboard-agent-grpc-port=${DASHBOARD_AGENT_GRPC_PORT} \
-    --dashboard-agent-listen-port=${DASHBOARD_AGENT_LISTEN_PORT} \
-    --metrics-export-port=${METRICS_EXPORT_PORT} \
+    --node-manager-port=$((${NODE_MANAGER_PORT} + 1)) \
+    --object-manager-port=$((${OBJECT_MANAGER_PORT} + 1)) \
+    --runtime-env-agent-port=$((${RUNTIME_ENV_AGENT_PORT} + 1)) \
+    --dashboard-agent-grpc-port=$((${DASHBOARD_AGENT_GRPC_PORT} + 1)) \
+    --dashboard-agent-listen-port=$((${DASHBOARD_AGENT_LISTEN_PORT} + 1)) \
+    --metrics-export-port=$((${METRICS_EXPORT_PORT} + 1)) \
+    $RAY_DEBUGGER_ARGS \
     \
     --block
 EOFINNER
@@ -159,12 +273,21 @@ touch $LOG_DIR/ENDED
 exit 1
 EOF
 )
-srun --container-image=nvcr.io/nvidia/pytorch:24.01-py3 --no-container-mount-home --mpi=pmix -A=test_account -p=gpu --gres=gpu:8 --container-mounts /tmp/test_jobs/test-ray-cluster:/tmp/test_jobs/test-ray-cluster,/tmp/test_jobs/test-ray-cluster:/tmp/test_jobs/test-ray-cluster --container-workdir=/workspace --container-name=ray-head --nodes=1 --ntasks=1 -w "$head_node" -o $LOG_DIR/ray-head.log bash -x -c "$head_cmd" &
+srun --container-image=nvcr.io/nvidia/pytorch:24.01-py3 --no-container-mount-home --mpi=pmix -A=test_account -p=gpu --gres=gpu:8 --container-mounts /tmp/test_jobs/test-ray-cluster:/tmp/test_jobs/test-ray-cluster,/tmp/test_jobs/test-ray-cluster:/tmp/test_jobs/test-ray-cluster,/tmp/test_jobs/test-ray-cluster/logs:/tmp/test_jobs/test-ray-cluster/logs --container-workdir=/workspace --container-name=ray-head --exclusive --nodes=1 --ntasks=1 -w "$head_node" -o $LOG_DIR/ray-head.log bash -x -c "$head_cmd" &
+SRUN_PIDS["ray-head"]=$!
 
 # Wait for the head node container to start and for Ray to be ready
+elapsed_time=0
 while ! (srun --overlap --nodes=1 --ntasks=1 -w $head_node test -f $LOG_DIR/STARTED_RAY_HEAD && srun --overlap --container-name=ray-head --nodes=1 --ntasks=1 -w $head_node ray status --address $ip_head 2>/dev/null); do
-  echo "[INFO][$(date)] Waiting for Ray head node container to start and be ready..."
+  if [[ $elapsed_time -ge $RAY_HEAD_START_TIMEOUT ]]; then
+    echo "[ERROR][$(date)] Ray head node failed to start within $RAY_HEAD_START_TIMEOUT seconds. Exiting..."
+    touch $LOG_DIR/ENDED
+    exit 1
+  fi
+  echo "[INFO][$(date)] Waiting for Ray head node container to start and be ready... ($elapsed_time/$RAY_HEAD_START_TIMEOUT seconds)"
+  check_srun_processes
   sleep 2
+  elapsed_time=$((elapsed_time + 2))
 done
 
 NUM_ACTORS=$((gpus_per_node * SLURM_JOB_NUM_NODES))
@@ -199,8 +322,10 @@ monitor-sidecar() {
 }
 monitor-sidecar &
 
+# Patch nsight.py before starting Ray worker
+sed -i 's/context\.py_executable = " "\.join(self\.nsight_cmd) + " python"/context.py_executable = " ".join(self.nsight_cmd) + f" {context.py_executable}"/g' /opt/nemo_rl_venv/lib64/python*/site-packages/ray/_private/runtime_env/nsight.py
+
 cat <<EOFINNER | tee /launch-worker.sh
-sleep 5
 ray start --address "$ip_head" \
           --disable-usage-stats \
           --resources="{\"worker_units\": $gpus_per_node, \"slurm_managed_ray_cluster\": 1}" \
@@ -213,6 +338,7 @@ ray start --address "$ip_head" \
           --dashboard-agent-grpc-port=${DASHBOARD_AGENT_GRPC_PORT} \
           --dashboard-agent-listen-port=${DASHBOARD_AGENT_LISTEN_PORT} \
           --metrics-export-port=${METRICS_EXPORT_PORT} \
+          $RAY_DEBUGGER_ARGS \
           \
           --block
 EOFINNER
@@ -231,7 +357,8 @@ EOF
   if [[ $i -eq 0 ]]; then
     OVERLAP_HEAD_AND_WORKER_ARG="--overlap"
   fi
-  srun --container-image=nvcr.io/nvidia/pytorch:24.01-py3 --no-container-mount-home --mpi=pmix -A=test_account -p=gpu --gres=gpu:8 --container-mounts /tmp/test_jobs/test-ray-cluster:/tmp/test_jobs/test-ray-cluster,/tmp/test_jobs/test-ray-cluster:/tmp/test_jobs/test-ray-cluster --container-workdir=/workspace ${OVERLAP_HEAD_AND_WORKER_ARG:-} --container-name=ray-worker-$i --exact --nodes=1 --ntasks=1 --cpus-per-task=$((16 * gpus_per_node)) -w "$node_i" -o $LOG_DIR/ray-worker-$i.log bash -x -c "$worker_cmd" &
+  srun --container-image=nvcr.io/nvidia/pytorch:24.01-py3 --no-container-mount-home --mpi=pmix -A=test_account -p=gpu --gres=gpu:8 --container-mounts /tmp/test_jobs/test-ray-cluster:/tmp/test_jobs/test-ray-cluster,/tmp/test_jobs/test-ray-cluster:/tmp/test_jobs/test-ray-cluster,/tmp/test_jobs/test-ray-cluster/logs:/tmp/test_jobs/test-ray-cluster/logs --container-workdir=/workspace ${OVERLAP_HEAD_AND_WORKER_ARG:-} --container-name=ray-worker-$i --exclusive --nodes=1 --ntasks=1 -w "$node_i" -o $LOG_DIR/ray-worker-$i.log bash -x -c "$worker_cmd" &
+  SRUN_PIDS["ray-worker-$i"]=$!
   sleep 3
 done
 
@@ -255,9 +382,10 @@ extract_worker_units() {
 while true; do
   worker_units=$(extract_worker_units)
   echo "[INFO] Number of actors online: $worker_units/$NUM_ACTORS"
-  if [ "$worker_units" -eq "$NUM_ACTORS" ]; then
+  if [[ "$worker_units" -eq "$NUM_ACTORS" ]]; then
     break
   fi
+  check_srun_processes
   sleep 2
 done
 
diff --git a/test/core/execution/artifacts/expected_ray_cluster_enroot.sub b/test/core/execution/artifacts/expected_ray_cluster_enroot.sub
new file mode 100644
index 00000000..cc683dc8
--- /dev/null
+++ b/test/core/execution/artifacts/expected_ray_cluster_enroot.sub
@@ -0,0 +1,495 @@
+#!/bin/bash
+#
+# Generated by NeMo Run
+#
+
+# Parameters
+#SBATCH --account=test_account
+#SBATCH --gpus-per-node=8
+#SBATCH --job-name=test_account-account.test-ray-cluster
+#SBATCH --nodes=2
+#SBATCH --ntasks-per-node=8
+#SBATCH --open-mode=append
+#SBATCH --output=/tmp/test_jobs/test-ray-cluster/logs/sbatch_test_account-account.test-ray-cluster_%j.out
+#SBATCH --partition=gpu
+#SBATCH --time=01:00:00
+
+set -eoux pipefail
+
+########################################################
+# User defined variables
+########################################################
+export PYTHONUNBUFFERED=1
+export SLURM_UNBUFFEREDIO=1
+
+# Ports for all nodes (should be odd numbers since we place head/worker[0] on the same node) so all workers get the odd ports, but the head will get +1 the ports
+NODE_MANAGER_PORT=${NODE_MANAGER_PORT:-53001}
+OBJECT_MANAGER_PORT=${OBJECT_MANAGER_PORT:-53003}
+RUNTIME_ENV_AGENT_PORT=${RUNTIME_ENV_AGENT_PORT:-53005}
+DASHBOARD_AGENT_GRPC_PORT=${DASHBOARD_AGENT_GRPC_PORT:-53007}
+METRICS_EXPORT_PORT=${METRICS_EXPORT_PORT:-53009}
+
+# Ports for the head node
+PORT=${PORT:-54514}
+RAY_CLIENT_SERVER_PORT=${RAY_CLIENT_SERVER_PORT:-10001}
+#REDIT_SHARD_PORTS=${REDIT_SHARD_PORTS:-"random"} ??
+DASHBOARD_PORT=${DASHBOARD_PORT:-8265}  # Also used by debugger
+DASHBOARD_AGENT_LISTEN_PORT=${DASHBOARD_AGENT_LISTEN_PORT:-52365}
+RAY_DEBUGGER_ARGS=
+if [ "${RAY_DEBUG:-}" = "legacy" ]; then
+  RAY_DEBUGGER_ARGS="--ray-debugger-external"
+fi
+
+# After ray>=2.47, this feature is enabled by default which creates uv venvs for any py_executable starting with `uv run`.
+# There is severe contention and performance issues with this enabled considering our dependencies are so large and occasionally
+# need to be compiled, so NeMo RL has an implementation in nemo_rl/utils/venv.py that does it once per node as opposed to once per task.
+export RAY_ENABLE_UV_RUN_RUNTIME_ENV=0
+
+# Setting ulimit is recommended by ray best practices page
+# @ https://docs.ray.io/en/latest/cluster/vms/user-guides/large-cluster-best-practices.html
+# It's session based and won't affect the system outside the script
+# Ensure that the soft limit isn't above the hard limit
+if [[ $(ulimit -Hn) == "unlimited" ]] || [[ 65535 -lt $(ulimit -Hn) ]]; then
+  ulimit -Sn 65535
+elif [[ $(ulimit -Hn) != "unlimited" ]] && [[ $(ulimit -Hn) -lt 65535 ]]; then
+  echo "[WARNING]: Cannot increase ulimit on file descriptors to 65535 according ray recommendation: https://docs.ray.io/en/latest/cluster/vms/user-guides/large-cluster-best-practices.html. Speak to cluster admins to increase, otherwise ray may crash unexpectedly."
+fi
+
+# On our clusters, the largest port range on an idle worker appeared between 52369-64607
+# (not including the other ports set by this script). So this range is chosen to be
+# somewhere in the middle
+MIN_WORKER_PORT=${MIN_WORKER_PORT:-54001}
+MAX_WORKER_PORT=${MAX_WORKER_PORT:-54513}
+
+# Ray temp directory (inside container). Used by --temp-dir and log sync sidecar
+RAY_TEMP_DIR=${RAY_TEMP_DIR:-/ray-cluster}
+
+# Number seconds to sync logs from /tmp/ray/session_*/logs to $LOG_DIR/ray/
+RAY_LOG_SYNC_FREQUENCY=${RAY_LOG_SYNC_FREQUENCY:-}
+
+# Timeout in seconds for Ray head node to start (default 10 minutes)
+RAY_HEAD_START_TIMEOUT=${RAY_HEAD_START_TIMEOUT:-600}
+
+# Directory setup
+export CLUSTER_DIR=/tmp/test_jobs/test-ray-cluster
+mkdir -p $CLUSTER_DIR
+
+JOB_IDS_FILE="$CLUSTER_DIR/job_ids.json"
+if [[ -f "$JOB_IDS_FILE" ]]; then
+  tmp="$(mktemp)"
+  jq --arg id "$SLURM_JOB_ID" '. + [$id]' "$JOB_IDS_FILE" > "$tmp" && mv "$tmp" "$JOB_IDS_FILE"
+else
+  touch "$JOB_IDS_FILE"
+  echo "[\"$SLURM_JOB_ID\"]" > "$JOB_IDS_FILE"
+fi
+
+mkdir -p $CLUSTER_DIR/scripts
+
+export LOG_DIR=/tmp/test_jobs/test-ray-cluster/logs
+mkdir -p $LOG_DIR
+
+# Clean up any previous run files
+rm -f $LOG_DIR/STARTED_RAY_HEAD
+rm -f $LOG_DIR/ENDED
+
+# Defaults to placing uv cache inside the CLUSTER_DIR
+# This directory is mounted into the container at /home/ray/.cache/uv so it is shared between the head and worker nodes
+# UV_CACHE_DIR=/tmp/test_jobs/test-ray-cluster/uv_cache
+# mkdir -p $UV_CACHE_DIR
+########################################################
+
+# Number of GPUs per node
+gpus_per_node=8
+
+num_retries=1
+
+# Track backgrounded srun client PIDs for head and workers
+declare -A SRUN_PIDS
+
+# Verify all backgrounded srun client processes are still alive; exit fast if any died
+check_srun_processes() {
+  for name in "${!SRUN_PIDS[@]}"; do
+    pid="${SRUN_PIDS[$name]}"
+    # Check if the process is still running
+    if ! kill -0 "$pid" 2>/dev/null; then
+      echo "[ERROR] Background srun '$name' died (pid=$pid). Could be a failure in startup or an issue with the node preventing the srun to start. Attempting to exit." >&2
+      # Signal sidecars inside containers to terminate ASAP
+      touch "$LOG_DIR/ENDED"
+      exit 1
+    fi
+  done
+}
+
+# Getting the node names and IP addresses in the SLURM allocation
+nodes=$(scontrol show hostnames "$SLURM_JOB_NODELIST")
+nodes_array=($nodes)
+ip_addresses_array=()
+
+for node in $nodes; do
+    # Try multiple methods to get IP address - ENHANCED VERSION v2.0
+    echo "[DEBUG] Resolving hostname: $node using enhanced resolution methods"
+    ip_address=""
+
+    # Method 1: Try host command
+    echo "[DEBUG] Method 1: host command"
+    ip_address=$(host $node 2>/dev/null | awk '/has address/ { print $4 }' | head -1 || true)
+    echo "[DEBUG] host result: '$ip_address'"
+
+    # Method 2: If host fails, try getent
+    if [[ -z "$ip_address" ]]; then
+        echo "[DEBUG] Method 2: getent hosts"
+        ip_address=$(getent hosts $node 2>/dev/null | awk '{ print $1 }' | head -1 || true)
+        echo "[DEBUG] getent result: '$ip_address'"
+    fi
+
+    # Method 3: If getent fails, try nslookup
+    if [[ -z "$ip_address" ]]; then
+        echo "[DEBUG] Method 3: nslookup"
+        ip_address=$(nslookup $node 2>/dev/null | awk '/^Address: / { print $2 }' | head -1 || true)
+        echo "[DEBUG] nslookup result: '$ip_address'"
+    fi
+
+    # Method 4: If all DNS methods fail, try ping to extract IP
+    if [[ -z "$ip_address" ]]; then
+        echo "[DEBUG] Method 4: ping"
+        ip_address=$(ping -c 1 $node 2>/dev/null | grep "PING" | sed 's/.*(\([^)]*\)).*/\1/' || true)
+        echo "[DEBUG] ping result: '$ip_address'"
+    fi
+
+    # If still no IP, use the hostname itself (might work if it's already an IP or resolvable)
+    if [[ -z "$ip_address" ]]; then
+        echo "[WARNING] Could not resolve IP for $node, using hostname as fallback"
+        ip_address=$node
+    fi
+
+    echo "[INFO] Node: $node -> IP: $ip_address"
+    # Add the IP address to the array
+    ip_addresses_array+=("$ip_address")
+done
+
+head_node=${nodes_array[0]}
+head_node_ip=${ip_addresses_array[0]}
+
+ip_head=$head_node_ip:$PORT
+
+########################################################
+# Ray cluster setup
+########################################################
+# First we start the head of the ray cluster on one of the physical nodes
+# Set GPU/CPU resources to 0 to avoid scheduling on the head node
+
+head_cmd=$(cat <<EOF
+# Touch a file to indicate that the head node has started
+# Overlapping srun commands will check this file to determine if we can overlap a container command
+touch $LOG_DIR/STARTED_RAY_HEAD
+env
+
+exit-dramatically() {
+    # Use SIGTERM to forcefully terminate the srun process
+    pkill -P $$ || true
+    kill -TERM 0 || true
+    # As a last resort, exit with a non-zero code
+    exit 1
+}
+export -f exit-dramatically
+
+# Background process to check for ENDED file
+monitor-sidecar() {
+  set +x
+  while true; do
+    sleep 60
+    if [[ -f "$LOG_DIR/ENDED" ]]; then
+      echo "Detected ENDED file, terminating..."
+      exit-dramatically
+    fi
+  done
+}
+monitor-sidecar &
+
+# Background process to sync ray logs every $RAY_LOG_SYNC_FREQUENCY seconds
+log-sync-sidecar() {
+  set +x
+  if [[ -z "$RAY_LOG_SYNC_FREQUENCY" ]]; then
+    echo "RAY_LOG_SYNC_FREQUENCY is not set, skipping log sync sidecar"
+    return
+  fi
+  mkdir -p $LOG_DIR/ray
+  while true; do
+    sleep $RAY_LOG_SYNC_FREQUENCY
+    if ls ${RAY_TEMP_DIR}/session_[0-9]* > /dev/null 2>&1; then
+      for session_dir in ${RAY_TEMP_DIR}/session_[0-9]*/; do
+        if [[ -d "\$session_dir/logs" ]]; then
+          session_name=\$(basename "\$session_dir")
+          mkdir -p "$LOG_DIR/ray/\$session_name"
+          if command -v rsync > /dev/null 2>&1; then
+            rsync -ahP "\$session_dir/logs/" "$LOG_DIR/ray/\$session_name/logs/" 2>/dev/null || true
+          else
+            cp -r "\$session_dir/logs" "$LOG_DIR/ray/\$session_name/"
+          fi
+        fi
+      done
+    fi
+    if [[ -f "$LOG_DIR/ENDED" ]]; then
+      echo "Log sync sidecar terminating..."
+      break
+    fi
+  done
+}
+log-sync-sidecar &
+
+# Patch nsight.py before starting Ray head
+sed -i 's/context\.py_executable = " "\.join(self\.nsight_cmd) + " python"/context.py_executable = " ".join(self.nsight_cmd) + f" {context.py_executable}"/g' /opt/nemo_rl_venv/lib64/python*/site-packages/ray/_private/runtime_env/nsight.py
+
+cat <<EOFINNER | tee /launch-head.sh
+ray start --head \
+    --disable-usage-stats \
+    --temp-dir=${RAY_TEMP_DIR} \
+    --resources="{\"worker_units\": $gpus_per_node, \"slurm_managed_ray_cluster\": 1}" \
+    --node-ip-address="$head_node_ip" \
+    --port=${PORT} \
+    --ray-client-server-port=${RAY_CLIENT_SERVER_PORT} \
+    --dashboard-port=${DASHBOARD_PORT} \
+    \
+    --node-manager-port=$((${NODE_MANAGER_PORT} + 1)) \
+    --object-manager-port=$((${OBJECT_MANAGER_PORT} + 1)) \
+    --runtime-env-agent-port=$((${RUNTIME_ENV_AGENT_PORT} + 1)) \
+    --dashboard-agent-grpc-port=$((${DASHBOARD_AGENT_GRPC_PORT} + 1)) \
+    --dashboard-agent-listen-port=$((${DASHBOARD_AGENT_LISTEN_PORT} + 1)) \
+    --metrics-export-port=$((${METRICS_EXPORT_PORT} + 1)) \
+    $RAY_DEBUGGER_ARGS \
+    \
+    --block
+EOFINNER
+chmod +x /launch-head.sh
+
+count=0
+while [[ \$count -lt $num_retries ]]; do
+  bash /launch-head.sh
+  count=\$((count+1))
+  echo "Head node failed \$count/$num_retries times, restarting in 5 seconds..."
+  sleep 5
+done
+touch $LOG_DIR/ENDED
+exit 1
+EOF
+)
+srun --container-image=nvcr.io/nvidia/pytorch:24.01-py3 --no-container-mount-home --mpi=pmix -A=test_account -p=gpu --gres=gpu:8 --container-mounts /tmp/test_jobs/test-ray-cluster:/tmp/test_jobs/test-ray-cluster,/tmp/test_jobs/test-ray-cluster:/tmp/test_jobs/test-ray-cluster,/tmp/test_jobs/test-ray-cluster/logs:/tmp/test_jobs/test-ray-cluster/logs --container-workdir=/workspace --container-name=ray-head --exclusive --nodes=1 --ntasks=1 -w "$head_node" -o $LOG_DIR/ray-head.log bash -x -c "$head_cmd" &
+SRUN_PIDS["ray-head"]=$!
+
+# Helper function to get container PID using enroot (workaround for --overlap --container-name bug)
+get_container_pid() {
+  local node=$1
+  srun --overlap --nodes=1 -w "$node" bash -c "enroot list -f | awk 'NR>1 && \$2 ~ /^[0-9]+\$/ {print \$2; exit}'"
+}
+
+
+# Wait for the head node container to start and for Ray to be ready
+elapsed_time=0
+while true; do
+  if srun --overlap --nodes=1 --ntasks=1 -w $head_node test -f $LOG_DIR/STARTED_RAY_HEAD; then
+    head_container_pid=$(get_container_pid "$head_node")
+    if [[ -n "$head_container_pid" ]] && enroot exec "$head_container_pid" ray status --address $ip_head 2>/dev/null; then
+      break
+    fi
+  fi
+  if [[ $elapsed_time -ge $RAY_HEAD_START_TIMEOUT ]]; then
+    echo "[ERROR][$(date)] Ray head node failed to start within $RAY_HEAD_START_TIMEOUT seconds. Exiting..."
+    touch $LOG_DIR/ENDED
+    exit 1
+  fi
+  echo "[INFO][$(date)] Waiting for Ray head node container to start and be ready... ($elapsed_time/$RAY_HEAD_START_TIMEOUT seconds)"
+  check_srun_processes
+  sleep 2
+  elapsed_time=$((elapsed_time + 2))
+done
+
+NUM_ACTORS=$((gpus_per_node * SLURM_JOB_NUM_NODES))
+
+# Start Ray worker nodes
+# We want 1 Ray worker node per physical node
+# Worker nodes are started with ray start but without the --head flag
+for ((i = 1; i < SLURM_JOB_NUM_NODES; i++)); do
+  node_i=${nodes_array[$i]}
+
+  worker_cmd=$(cat <<EOF
+env
+
+exit-dramatically() {
+    # Use SIGTERM to forcefully terminate the srun process
+    pkill -P $$ || true
+    kill -TERM 0 || true
+    # As a last resort, exit with a non-zero code
+    exit 1
+}
+
+# Background process to check for ENDED file
+monitor-sidecar() {
+  set +x
+  while true; do
+    sleep 60
+    if [[ -f "$LOG_DIR/ENDED" ]]; then
+      echo "Detected ENDED file, terminating..."
+      exit-dramatically
+    fi
+  done
+}
+monitor-sidecar &
+
+# Patch nsight.py before starting Ray worker
+sed -i 's/context\.py_executable = " "\.join(self\.nsight_cmd) + " python"/context.py_executable = " ".join(self.nsight_cmd) + f" {context.py_executable}"/g' /opt/nemo_rl_venv/lib64/python*/site-packages/ray/_private/runtime_env/nsight.py
+
+cat <<EOFINNER | tee /launch-worker.sh
+ray start --address "$ip_head" \
+          --disable-usage-stats \
+          --resources="{\"worker_units\": $gpus_per_node, \"slurm_managed_ray_cluster\": 1}" \
+          --min-worker-port=${MIN_WORKER_PORT} \
+          --max-worker-port=${MAX_WORKER_PORT} \
+          \
+          --node-manager-port=${NODE_MANAGER_PORT} \
+          --object-manager-port=${OBJECT_MANAGER_PORT} \
+          --runtime-env-agent-port=${RUNTIME_ENV_AGENT_PORT} \
+          --dashboard-agent-grpc-port=${DASHBOARD_AGENT_GRPC_PORT} \
+          --dashboard-agent-listen-port=${DASHBOARD_AGENT_LISTEN_PORT} \
+          --metrics-export-port=${METRICS_EXPORT_PORT} \
+          $RAY_DEBUGGER_ARGS \
+          \
+          --block
+EOFINNER
+
+count=0
+while [[ \$count -lt $num_retries ]]; do
+  bash /launch-worker.sh
+  count=\$((count+1))
+  echo "Worker failed \$count/$num_retries times, restarting in 5 seconds..."
+  sleep 5
+done
+touch $LOG_DIR/ENDED
+exit 1
+EOF
+)
+  if [[ $i -eq 0 ]]; then
+    OVERLAP_HEAD_AND_WORKER_ARG="--overlap"
+  fi
+  srun --container-image=nvcr.io/nvidia/pytorch:24.01-py3 --no-container-mount-home --mpi=pmix -A=test_account -p=gpu --gres=gpu:8 --container-mounts /tmp/test_jobs/test-ray-cluster:/tmp/test_jobs/test-ray-cluster,/tmp/test_jobs/test-ray-cluster:/tmp/test_jobs/test-ray-cluster,/tmp/test_jobs/test-ray-cluster/logs:/tmp/test_jobs/test-ray-cluster/logs --container-workdir=/workspace ${OVERLAP_HEAD_AND_WORKER_ARG:-} --container-name=ray-worker-$i --exclusive --nodes=1 --ntasks=1 -w "$node_i" -o $LOG_DIR/ray-worker-$i.log bash -x -c "$worker_cmd" &
+  SRUN_PIDS["ray-worker-$i"]=$!
+  sleep 3
+done
+
+# At this stage the Ray cluster bringup has started on the physical nodes in the allocation
+# Before we launch a job on this cluster we need to make sure that the bringup is complete
+# We do so by querying the number of worker_units in the ray cluster and asserting = NUM_ACTORS
+
+extract_worker_units() {
+  # Get the container PID for ray-head
+  head_container_pid=$(get_container_pid "$head_node")
+  if [[ -z "$head_container_pid" ]]; then
+    echo 0
+    return
+  fi
+
+  # Execute ray status inside the container using enroot exec
+  status_output=$(srun --overlap --nodes=1 -w "$head_node" enroot exec "$head_container_pid" ray status)
+  if echo "$status_output" | grep -q "worker_units"; then
+    worker_units=$(echo "$status_output" | grep "worker_units" | awk -F'[/. ]' '{print $4}')
+    echo $worker_units
+  else
+    echo 0
+  fi
+}
+
+# Poll to make sure that all Ray worker nodes have connected to the head.
+# All workers have connected when number of GPUs in ray cluster
+# is equal to NUM_ACTORS. We use the utility function above
+# to check how many GPUs have come online in the ray cluster
+while true; do
+  worker_units=$(extract_worker_units)
+  echo "[INFO] Number of actors online: $worker_units/$NUM_ACTORS"
+  if [[ "$worker_units" -eq "$NUM_ACTORS" ]]; then
+    break
+  fi
+  check_srun_processes
+  sleep 2
+done
+
+echo "All workers connected!"
+
+# Create JSON with Ray cluster information
+cat <<EOF >$CLUSTER_DIR/ray_cluster_info.json
+{
+  "head_ip": "$head_node_ip",
+  "dashboard_port": "$DASHBOARD_PORT",
+  "port": "$PORT"
+}
+EOF
+# Set up trap to clean up cluster info on job termination
+cleanup_cluster_info() {
+    echo "[INFO] Cleaning up Ray cluster information"
+    rm -f $CLUSTER_DIR/ray_cluster_info.json
+}
+
+# Register the cleanup function to run on script exit
+trap cleanup_cluster_info EXIT
+
+
+echo "[INFO] Ray cluster information saved to $CLUSTER_DIR/ray_cluster_info.json"
+
+########################################################
+
+# We can now launch a job on this cluster
+# We do so by launching a driver process on the physical node that the head node is on
+# This driver process is responsible for launching a job on the Ray cluster
+CONTAINER_CWD=$(scontrol show job $SLURM_JOB_ID --json | jq -r '.jobs[].current_working_directory')
+# Define command to be empty by default
+COMMAND="${COMMAND:-python train.py}"
+COMMAND_WORKDIR=/workspace
+
+if [[ -n "$COMMAND" ]]; then
+  # Get container PID and execute command inside it
+  head_container_pid=$(get_container_pid "$head_node")
+  srun --overlap --nodes=1 -w "$head_node" -o $LOG_DIR/ray-job.log enroot exec "$head_container_pid" bash -c "cd $COMMAND_WORKDIR && $COMMAND"
+else
+  echo "[INFO]: Ray Cluster is idled, run this on the slurm head node to get a shell to the head node:"
+  cat <<EOF >$CLUSTER_DIR/scripts/${SLURM_JOB_ID}-attach.sh
+# No args launches on the head node (node 0)
+# Args 1-N launch on worker nodes (nodes 1 through N-1)
+# Optional: set COMMAND='...' to run non-interactively instead of opening an interactive shell
+
+# Helper to get container PID
+get_container_pid() {
+  local node=\$1
+  srun --overlap --nodes=1 -w "\$node" --jobid $SLURM_JOB_ID bash -c "enroot list -f | awk 'NR>1 && \\\$2 ~ /^[0-9]+\\\$/ {print \\\$2; exit}'"
+}
+
+WORKER_NUM=\\\${1:-}
+if [[ -z "\\\$WORKER_NUM" ]]; then
+  # Empty means we are on the head node
+  HEAD_PID=\\\$(get_container_pid "$head_node")
+  if [[ -n "\\\${COMMAND:-}" ]]; then
+    srun -A $SLURM_JOB_ACCOUNT -p $SLURM_JOB_PARTITION --overlap --nodes=1 -w "$head_node" --jobid $SLURM_JOB_ID enroot exec "\\\$HEAD_PID" bash -c "cd $CONTAINER_CWD && \\\$COMMAND"
+  else
+    srun -A $SLURM_JOB_ACCOUNT -p $SLURM_JOB_PARTITION --overlap --nodes=1 -w "$head_node" --jobid $SLURM_JOB_ID --pty enroot exec "\\\$HEAD_PID" bash -c "cd $CONTAINER_CWD && exec bash"
+  fi
+else
+  # Worker numbers 1 through N-1 correspond to ray-worker-1 through ray-worker-(N-1)
+  # and use nodes_array[1] through nodes_array[N-1]
+  if [[ \\\$WORKER_NUM -lt 1 || \\\$WORKER_NUM -ge $SLURM_JOB_NUM_NODES ]]; then
+    echo "Error: WORKER_NUM must be between 1 and $((SLURM_JOB_NUM_NODES-1))"
+    exit 1
+  fi
+  nodes_array=($nodes)
+  node="\\\${nodes_array[\\\$WORKER_NUM]}"
+  WORKER_PID=\\\$(get_container_pid "\\\$node")
+  if [[ -n "\\\${COMMAND:-}" ]]; then
+    srun -A $SLURM_JOB_ACCOUNT -p $SLURM_JOB_PARTITION --overlap --nodes=1 -w "\\\$node" --jobid $SLURM_JOB_ID enroot exec "\\\$WORKER_PID" bash -c "cd $CONTAINER_CWD && \\\$COMMAND"
+  else
+    srun -A $SLURM_JOB_ACCOUNT -p $SLURM_JOB_PARTITION --overlap --nodes=1 -w "\\\$node" --jobid $SLURM_JOB_ID --pty enroot exec "\\\$WORKER_PID" bash -c "cd $CONTAINER_CWD && exec bash"
+  fi
+fi
+EOF
+  chmod +x $CLUSTER_DIR/scripts/${SLURM_JOB_ID}-attach.sh
+  echo "     COMMAND='echo hello' bash $CLUSTER_DIR/scripts/${SLURM_JOB_ID}-attach.sh    # run a non-interactive command on head node"
+  echo "     bash $CLUSTER_DIR/scripts/${SLURM_JOB_ID}-attach.sh    # to attach to head node (i.e., 'worker 0')"
+  echo "     bash $CLUSTER_DIR/scripts/${SLURM_JOB_ID}-attach.sh 1  # to attach to worker 1"
+  echo "     bash $CLUSTER_DIR/scripts/${SLURM_JOB_ID}-attach.sh 2  # to attach to worker 2, etc."
+  sleep infinity
+fi
diff --git a/test/core/execution/artifacts/expected_ray_cluster_ssh.sub b/test/core/execution/artifacts/expected_ray_cluster_ssh.sub
index 681a614c..0e86733f 100644
--- a/test/core/execution/artifacts/expected_ray_cluster_ssh.sub
+++ b/test/core/execution/artifacts/expected_ray_cluster_ssh.sub
@@ -31,18 +31,45 @@ DASHBOARD_AGENT_GRPC_PORT=${DASHBOARD_AGENT_GRPC_PORT:-53007}
 METRICS_EXPORT_PORT=${METRICS_EXPORT_PORT:-53009}
 
 # Ports for the head node
-PORT=${PORT:-6379}
+PORT=${PORT:-54514}
 RAY_CLIENT_SERVER_PORT=${RAY_CLIENT_SERVER_PORT:-10001}
 #REDIT_SHARD_PORTS=${REDIT_SHARD_PORTS:-"random"} ??
-DASHBOARD_GRPC_PORT=${DASHBOARD_GRPC_PORT:-52367}
 DASHBOARD_PORT=${DASHBOARD_PORT:-8265}  # Also used by debugger
 DASHBOARD_AGENT_LISTEN_PORT=${DASHBOARD_AGENT_LISTEN_PORT:-52365}
+RAY_DEBUGGER_ARGS=
+if [ "${RAY_DEBUG:-}" = "legacy" ]; then
+  RAY_DEBUGGER_ARGS="--ray-debugger-external"
+fi
+
+# After ray>=2.47, this feature is enabled by default which creates uv venvs for any py_executable starting with `uv run`.
+# There is severe contention and performance issues with this enabled considering our dependencies are so large and occasionally
+# need to be compiled, so NeMo RL has an implementation in nemo_rl/utils/venv.py that does it once per node as opposed to once per task.
+export RAY_ENABLE_UV_RUN_RUNTIME_ENV=0
+
+# Setting ulimit is recommended by ray best practices page
+# @ https://docs.ray.io/en/latest/cluster/vms/user-guides/large-cluster-best-practices.html
+# It's session based and won't affect the system outside the script
+# Ensure that the soft limit isn't above the hard limit
+if [[ $(ulimit -Hn) == "unlimited" ]] || [[ 65535 -lt $(ulimit -Hn) ]]; then
+  ulimit -Sn 65535
+elif [[ $(ulimit -Hn) != "unlimited" ]] && [[ $(ulimit -Hn) -lt 65535 ]]; then
+  echo "[WARNING]: Cannot increase ulimit on file descriptors to 65535 according ray recommendation: https://docs.ray.io/en/latest/cluster/vms/user-guides/large-cluster-best-practices.html. Speak to cluster admins to increase, otherwise ray may crash unexpectedly."
+fi
 
 # On our clusters, the largest port range on an idle worker appeared between 52369-64607
 # (not including the other ports set by this script). So this range is chosen to be
 # somewhere in the middle
 MIN_WORKER_PORT=${MIN_WORKER_PORT:-54001}
-MAX_WORKER_PORT=${MAX_WORKER_PORT:-54257}
+MAX_WORKER_PORT=${MAX_WORKER_PORT:-54513}
+
+# Ray temp directory (inside container). Used by --temp-dir and log sync sidecar
+RAY_TEMP_DIR=${RAY_TEMP_DIR:-/ray-cluster}
+
+# Number seconds to sync logs from /tmp/ray/session_*/logs to $LOG_DIR/ray/
+RAY_LOG_SYNC_FREQUENCY=${RAY_LOG_SYNC_FREQUENCY:-}
+
+# Timeout in seconds for Ray head node to start (default 10 minutes)
+RAY_HEAD_START_TIMEOUT=${RAY_HEAD_START_TIMEOUT:-600}
 
 # Directory setup
 export CLUSTER_DIR=/lustre/fsw/projects/research/jobs/multi-node-training
@@ -77,13 +104,66 @@ gpus_per_node=8
 
 num_retries=1
 
+# Track backgrounded srun client PIDs for head and workers
+declare -A SRUN_PIDS
+
+# Verify all backgrounded srun client processes are still alive; exit fast if any died
+check_srun_processes() {
+  for name in "${!SRUN_PIDS[@]}"; do
+    pid="${SRUN_PIDS[$name]}"
+    # Check if the process is still running
+    if ! kill -0 "$pid" 2>/dev/null; then
+      echo "[ERROR] Background srun '$name' died (pid=$pid). Could be a failure in startup or an issue with the node preventing the srun to start. Attempting to exit." >&2
+      # Signal sidecars inside containers to terminate ASAP
+      touch "$LOG_DIR/ENDED"
+      exit 1
+    fi
+  done
+}
+
 # Getting the node names and IP addresses in the SLURM allocation
 nodes=$(scontrol show hostnames "$SLURM_JOB_NODELIST")
 nodes_array=($nodes)
 ip_addresses_array=()
 
 for node in $nodes; do
-    ip_address=$(host $node | awk '/has address/ { print $4 }')
+    # Try multiple methods to get IP address - ENHANCED VERSION v2.0
+    echo "[DEBUG] Resolving hostname: $node using enhanced resolution methods"
+    ip_address=""
+
+    # Method 1: Try host command
+    echo "[DEBUG] Method 1: host command"
+    ip_address=$(host $node 2>/dev/null | awk '/has address/ { print $4 }' | head -1 || true)
+    echo "[DEBUG] host result: '$ip_address'"
+
+    # Method 2: If host fails, try getent
+    if [[ -z "$ip_address" ]]; then
+        echo "[DEBUG] Method 2: getent hosts"
+        ip_address=$(getent hosts $node 2>/dev/null | awk '{ print $1 }' | head -1 || true)
+        echo "[DEBUG] getent result: '$ip_address'"
+    fi
+
+    # Method 3: If getent fails, try nslookup
+    if [[ -z "$ip_address" ]]; then
+        echo "[DEBUG] Method 3: nslookup"
+        ip_address=$(nslookup $node 2>/dev/null | awk '/^Address: / { print $2 }' | head -1 || true)
+        echo "[DEBUG] nslookup result: '$ip_address'"
+    fi
+
+    # Method 4: If all DNS methods fail, try ping to extract IP
+    if [[ -z "$ip_address" ]]; then
+        echo "[DEBUG] Method 4: ping"
+        ip_address=$(ping -c 1 $node 2>/dev/null | grep "PING" | sed 's/.*(\([^)]*\)).*/\1/' || true)
+        echo "[DEBUG] ping result: '$ip_address'"
+    fi
+
+    # If still no IP, use the hostname itself (might work if it's already an IP or resolvable)
+    if [[ -z "$ip_address" ]]; then
+        echo "[WARNING] Could not resolve IP for $node, using hostname as fallback"
+        ip_address=$node
+    fi
+
+    echo "[INFO] Node: $node -> IP: $ip_address"
     # Add the IP address to the array
     ip_addresses_array+=("$ip_address")
 done
@@ -131,23 +211,57 @@ monitor-sidecar() {
 }
 monitor-sidecar &
 
+# Background process to sync ray logs every $RAY_LOG_SYNC_FREQUENCY seconds
+log-sync-sidecar() {
+  set +x
+  if [[ -z "$RAY_LOG_SYNC_FREQUENCY" ]]; then
+    echo "RAY_LOG_SYNC_FREQUENCY is not set, skipping log sync sidecar"
+    return
+  fi
+  mkdir -p $LOG_DIR/ray
+  while true; do
+    sleep $RAY_LOG_SYNC_FREQUENCY
+    if ls ${RAY_TEMP_DIR}/session_[0-9]* > /dev/null 2>&1; then
+      for session_dir in ${RAY_TEMP_DIR}/session_[0-9]*/; do
+        if [[ -d "\$session_dir/logs" ]]; then
+          session_name=\$(basename "\$session_dir")
+          mkdir -p "$LOG_DIR/ray/\$session_name"
+          if command -v rsync > /dev/null 2>&1; then
+            rsync -ahP "\$session_dir/logs/" "$LOG_DIR/ray/\$session_name/logs/" 2>/dev/null || true
+          else
+            cp -r "\$session_dir/logs" "$LOG_DIR/ray/\$session_name/"
+          fi
+        fi
+      done
+    fi
+    if [[ -f "$LOG_DIR/ENDED" ]]; then
+      echo "Log sync sidecar terminating..."
+      break
+    fi
+  done
+}
+log-sync-sidecar &
+
+# Patch nsight.py before starting Ray head
+sed -i 's/context\.py_executable = " "\.join(self\.nsight_cmd) + " python"/context.py_executable = " ".join(self.nsight_cmd) + f" {context.py_executable}"/g' /opt/nemo_rl_venv/lib64/python*/site-packages/ray/_private/runtime_env/nsight.py
+
 cat <<EOFINNER | tee /launch-head.sh
 ray start --head \
     --disable-usage-stats \
-    --temp-dir=/ray-cluster \
+    --temp-dir=${RAY_TEMP_DIR} \
     --resources="{\"worker_units\": $gpus_per_node, \"slurm_managed_ray_cluster\": 1}" \
     --node-ip-address="$head_node_ip" \
     --port=${PORT} \
     --ray-client-server-port=${RAY_CLIENT_SERVER_PORT} \
-    --dashboard-grpc-port=${DASHBOARD_GRPC_PORT} \
     --dashboard-port=${DASHBOARD_PORT} \
     \
-    --node-manager-port=${NODE_MANAGER_PORT} \
-    --object-manager-port=${OBJECT_MANAGER_PORT} \
-    --runtime-env-agent-port=${RUNTIME_ENV_AGENT_PORT} \
-    --dashboard-agent-grpc-port=${DASHBOARD_AGENT_GRPC_PORT} \
-    --dashboard-agent-listen-port=${DASHBOARD_AGENT_LISTEN_PORT} \
-    --metrics-export-port=${METRICS_EXPORT_PORT} \
+    --node-manager-port=$((${NODE_MANAGER_PORT} + 1)) \
+    --object-manager-port=$((${OBJECT_MANAGER_PORT} + 1)) \
+    --runtime-env-agent-port=$((${RUNTIME_ENV_AGENT_PORT} + 1)) \
+    --dashboard-agent-grpc-port=$((${DASHBOARD_AGENT_GRPC_PORT} + 1)) \
+    --dashboard-agent-listen-port=$((${DASHBOARD_AGENT_LISTEN_PORT} + 1)) \
+    --metrics-export-port=$((${METRICS_EXPORT_PORT} + 1)) \
+    $RAY_DEBUGGER_ARGS \
     \
     --block
 EOFINNER
@@ -164,12 +278,21 @@ touch $LOG_DIR/ENDED
 exit 1
 EOF
 )
-srun --container-image=nvcr.io/nvidia/nemo:24.01 --no-container-mount-home --mpi=pmix -A=research_account -p=gpu_partition --gres=gpu:8 --container-mounts /data:/data,/models:/models,/nemo_run:/nemo_run,/lustre/fsw/projects/research/jobs/multi-node-training:/lustre/fsw/projects/research/jobs/multi-node-training,/lustre/fsw/projects/research/jobs/multi-node-training:/lustre/fsw/projects/research/jobs/multi-node-training --container-workdir=/workspace/training --container-name=ray-head --nodes=1 --ntasks=1 -w "$head_node" -o $LOG_DIR/ray-head.log bash -x -c "$head_cmd" &
+srun --container-image=nvcr.io/nvidia/nemo:24.01 --no-container-mount-home --mpi=pmix -A=research_account -p=gpu_partition --gres=gpu:8 --container-mounts /data:/data,/models:/models,/nemo_run:/nemo_run,/lustre/fsw/projects/research/jobs/multi-node-training:/lustre/fsw/projects/research/jobs/multi-node-training,/lustre/fsw/projects/research/jobs/multi-node-training:/lustre/fsw/projects/research/jobs/multi-node-training,/lustre/fsw/projects/research/jobs/multi-node-training/logs:/lustre/fsw/projects/research/jobs/multi-node-training/logs --container-workdir=/workspace/training --container-name=ray-head --exclusive --nodes=1 --ntasks=1 -w "$head_node" -o $LOG_DIR/ray-head.log bash -x -c "$head_cmd" &
+SRUN_PIDS["ray-head"]=$!
 
 # Wait for the head node container to start and for Ray to be ready
+elapsed_time=0
 while ! (srun --overlap --nodes=1 --ntasks=1 -w $head_node test -f $LOG_DIR/STARTED_RAY_HEAD && srun --overlap --container-name=ray-head --nodes=1 --ntasks=1 -w $head_node ray status --address $ip_head 2>/dev/null); do
-  echo "[INFO][$(date)] Waiting for Ray head node container to start and be ready..."
+  if [[ $elapsed_time -ge $RAY_HEAD_START_TIMEOUT ]]; then
+    echo "[ERROR][$(date)] Ray head node failed to start within $RAY_HEAD_START_TIMEOUT seconds. Exiting..."
+    touch $LOG_DIR/ENDED
+    exit 1
+  fi
+  echo "[INFO][$(date)] Waiting for Ray head node container to start and be ready... ($elapsed_time/$RAY_HEAD_START_TIMEOUT seconds)"
+  check_srun_processes
   sleep 2
+  elapsed_time=$((elapsed_time + 2))
 done
 
 NUM_ACTORS=$((gpus_per_node * SLURM_JOB_NUM_NODES))
@@ -206,8 +329,10 @@ monitor-sidecar() {
 }
 monitor-sidecar &
 
+# Patch nsight.py before starting Ray worker
+sed -i 's/context\.py_executable = " "\.join(self\.nsight_cmd) + " python"/context.py_executable = " ".join(self.nsight_cmd) + f" {context.py_executable}"/g' /opt/nemo_rl_venv/lib64/python*/site-packages/ray/_private/runtime_env/nsight.py
+
 cat <<EOFINNER | tee /launch-worker.sh
-sleep 5
 ray start --address "$ip_head" \
           --disable-usage-stats \
           --resources="{\"worker_units\": $gpus_per_node, \"slurm_managed_ray_cluster\": 1}" \
@@ -220,6 +345,7 @@ ray start --address "$ip_head" \
           --dashboard-agent-grpc-port=${DASHBOARD_AGENT_GRPC_PORT} \
           --dashboard-agent-listen-port=${DASHBOARD_AGENT_LISTEN_PORT} \
           --metrics-export-port=${METRICS_EXPORT_PORT} \
+          $RAY_DEBUGGER_ARGS \
           \
           --block
 EOFINNER
@@ -238,7 +364,8 @@ EOF
   if [[ $i -eq 0 ]]; then
     OVERLAP_HEAD_AND_WORKER_ARG="--overlap"
   fi
-  srun --container-image=nvcr.io/nvidia/nemo:24.01 --no-container-mount-home --mpi=pmix -A=research_account -p=gpu_partition --gres=gpu:8 --container-mounts /data:/data,/models:/models,/nemo_run:/nemo_run,/lustre/fsw/projects/research/jobs/multi-node-training:/lustre/fsw/projects/research/jobs/multi-node-training,/lustre/fsw/projects/research/jobs/multi-node-training:/lustre/fsw/projects/research/jobs/multi-node-training --container-workdir=/workspace/training ${OVERLAP_HEAD_AND_WORKER_ARG:-} --container-name=ray-worker-$i --exact --nodes=1 --ntasks=1 --cpus-per-task=$((16 * gpus_per_node)) -w "$node_i" -o $LOG_DIR/ray-worker-$i.log bash -x -c "$worker_cmd" &
+  srun --container-image=nvcr.io/nvidia/nemo:24.01 --no-container-mount-home --mpi=pmix -A=research_account -p=gpu_partition --gres=gpu:8 --container-mounts /data:/data,/models:/models,/nemo_run:/nemo_run,/lustre/fsw/projects/research/jobs/multi-node-training:/lustre/fsw/projects/research/jobs/multi-node-training,/lustre/fsw/projects/research/jobs/multi-node-training:/lustre/fsw/projects/research/jobs/multi-node-training,/lustre/fsw/projects/research/jobs/multi-node-training/logs:/lustre/fsw/projects/research/jobs/multi-node-training/logs --container-workdir=/workspace/training ${OVERLAP_HEAD_AND_WORKER_ARG:-} --container-name=ray-worker-$i --exclusive --nodes=1 --ntasks=1 -w "$node_i" -o $LOG_DIR/ray-worker-$i.log bash -x -c "$worker_cmd" &
+  SRUN_PIDS["ray-worker-$i"]=$!
   sleep 3
 done
 
@@ -262,9 +389,10 @@ extract_worker_units() {
 while true; do
   worker_units=$(extract_worker_units)
   echo "[INFO] Number of actors online: $worker_units/$NUM_ACTORS"
-  if [ "$worker_units" -eq "$NUM_ACTORS" ]; then
+  if [[ "$worker_units" -eq "$NUM_ACTORS" ]]; then
     break
   fi
+  check_srun_processes
   sleep 2
 done
 
diff --git a/test/core/execution/artifacts/ft_het_slurm.sh b/test/core/execution/artifacts/ft_het_slurm.sh
index 176dd0db..a0a51456 100644
--- a/test/core/execution/artifacts/ft_het_slurm.sh
+++ b/test/core/execution/artifacts/ft_het_slurm.sh
@@ -105,7 +105,7 @@ while ! $all_done; do
             # Process is no longer running => check its exit status.
             wait "$pid"
             exitcode=$?
-            echo "Process $pid exited with code $exit_code at $(date '+%Y-%m-%d %H:%M:%S')"
+            echo "Process $pid exited with code $exitcode at $(date '+%Y-%m-%d %H:%M:%S')"
             # Wait a bit (to get a clean stack trace in case there is one being generated), then kill the
             # remaining processes if needed.
             sleep 60
diff --git a/test/core/execution/artifacts/group_resource_req_slurm.sh b/test/core/execution/artifacts/group_resource_req_slurm.sh
index a68b77d9..fcfe416f 100644
--- a/test/core/execution/artifacts/group_resource_req_slurm.sh
+++ b/test/core/execution/artifacts/group_resource_req_slurm.sh
@@ -65,7 +65,7 @@ while ! $all_done; do
             # Process is no longer running => check its exit status.
             wait "$pid"
             exitcode=$?
-            echo "Process $pid exited with code $exit_code at $(date '+%Y-%m-%d %H:%M:%S')"
+            echo "Process $pid exited with code $exitcode at $(date '+%Y-%m-%d %H:%M:%S')"
             # Wait a bit (to get a clean stack trace in case there is one being generated), then kill the
             # remaining processes if needed.
             sleep 60
diff --git a/test/core/execution/artifacts/group_slurm.sh b/test/core/execution/artifacts/group_slurm.sh
index 00833abc..f26a2fba 100644
--- a/test/core/execution/artifacts/group_slurm.sh
+++ b/test/core/execution/artifacts/group_slurm.sh
@@ -58,7 +58,7 @@ while ! $all_done; do
             # Process is no longer running => check its exit status.
             wait "$pid"
             exitcode=$?
-            echo "Process $pid exited with code $exit_code at $(date '+%Y-%m-%d %H:%M:%S')"
+            echo "Process $pid exited with code $exitcode at $(date '+%Y-%m-%d %H:%M:%S')"
             # Wait a bit (to get a clean stack trace in case there is one being generated), then kill the
             # remaining processes if needed.
             sleep 60
diff --git a/test/core/execution/artifacts/het_slurm.sh b/test/core/execution/artifacts/het_slurm.sh
index 9be58607..0529f35f 100644
--- a/test/core/execution/artifacts/het_slurm.sh
+++ b/test/core/execution/artifacts/het_slurm.sh
@@ -80,7 +80,7 @@ while ! $all_done; do
             # Process is no longer running => check its exit status.
             wait "$pid"
             exitcode=$?
-            echo "Process $pid exited with code $exit_code at $(date '+%Y-%m-%d %H:%M:%S')"
+            echo "Process $pid exited with code $exitcode at $(date '+%Y-%m-%d %H:%M:%S')"
             # Wait a bit (to get a clean stack trace in case there is one being generated), then kill the
             # remaining processes if needed.
             sleep 60
diff --git a/test/core/execution/test_docker.py b/test/core/execution/test_docker.py
index 33ae19da..dc71de57 100644
--- a/test/core/execution/test_docker.py
+++ b/test/core/execution/test_docker.py
@@ -285,15 +285,22 @@ def test_init(self):
         assert container.executor == executor
         assert container.extra_env == {"EXTRA": "value"}
 
-    @patch("nemo_run.core.execution.docker.DockerContainer.run")
-    def test_run(self, mock_run, mock_docker_client, mock_container):
+    @patch("docker.DockerClient")
+    @patch("nemo_run.core.execution.docker.ensure_network")
+    def test_run(
+        self,
+        mock_client,
+        mock_ensure_network,
+        mock_docker_client,
+        mock_container,
+    ):
         """Test run method of DockerContainer."""
         executor = DockerExecutor(
             container_image="test:latest",
             runtime="nvidia",
             num_gpus=2,
             shm_size="8g",
-            ulimits=["memlock:unlimited:unlimited"],
+            ulimits=["memlock:0:123"],
             ipc_mode="host",
             privileged=True,
             volumes=["/host:/container"],
@@ -308,11 +315,21 @@ def test_run(self, mock_run, mock_docker_client, mock_container):
             extra_env={"EXTRA": "value"},
         )
 
-        mock_run.return_value = mock_container
+        mock_ensure_network.return_value = None
+
+        def mocked_run(*args, **kwargs):
+            detach = kwargs.pop("detach", None)
+            remove = kwargs.pop("remove", None)
+            assert detach is True
+            assert remove is True
+
+        mock_client.containers.run = mocked_run
+
+        container.run(mock_client, "job123")
 
         # Instead of actually calling run which would fail with the "unlimited" value,
         # we'll check that the container is properly set up
-        assert container.executor.ulimits == ["memlock:unlimited:unlimited"]
+        assert container.executor.ulimits == ["memlock:0:123"]
         assert container.extra_env == {"EXTRA": "value"}
         assert container.executor.experiment_id == "exp123"
 
@@ -387,6 +404,80 @@ def test_delete_error(self, mock_docker_client, mock_container):
         container.get_container.assert_called_once_with(client=mock_docker_client, id="job123")
         mock_container.remove.assert_called_once_with(force=True)
 
+    @patch("nemo_run.core.execution.docker.ensure_network")
+    def test_run_with_short_container_name(self, mock_ensure_network, mock_docker_client):
+        """Test run method with container name <= 32 characters."""
+        executor = DockerExecutor(container_image="test:latest")
+        executor.experiment_id = "exp123"
+
+        container = DockerContainer(
+            name="short-name",
+            command=["python", "script.py"],
+            executor=executor,
+            extra_env={},
+        )
+
+        mock_docker_client.containers.run.return_value = MagicMock()
+
+        container.run(mock_docker_client, "job123")
+
+        # Verify hostname is set to the full name
+        call_kwargs = mock_docker_client.containers.run.call_args[1]
+        assert call_kwargs["hostname"] == "short-name"
+        assert len(call_kwargs["hostname"]) <= 32
+
+    @patch("nemo_run.core.execution.docker.ensure_network")
+    def test_run_with_long_container_name(self, mock_ensure_network, mock_docker_client):
+        """Test run method with container name > 32 characters."""
+        executor = DockerExecutor(container_image="test:latest")
+        executor.experiment_id = "exp123"
+
+        # Create a name that's longer than 32 characters
+        long_name = "this-is-a-very-long-container-name-that-exceeds-thirty-two-characters"
+        assert len(long_name) > 32
+
+        container = DockerContainer(
+            name=long_name,
+            command=["python", "script.py"],
+            executor=executor,
+            extra_env={},
+        )
+
+        mock_docker_client.containers.run.return_value = MagicMock()
+
+        container.run(mock_docker_client, "job123")
+
+        # Verify hostname is truncated to last 32 characters
+        call_kwargs = mock_docker_client.containers.run.call_args[1]
+        assert call_kwargs["hostname"] == long_name[-32:]
+        assert len(call_kwargs["hostname"]) == 32
+
+    @patch("nemo_run.core.execution.docker.ensure_network")
+    def test_run_with_exactly_32_char_name(self, mock_ensure_network, mock_docker_client):
+        """Test run method with container name exactly 32 characters."""
+        executor = DockerExecutor(container_image="test:latest")
+        executor.experiment_id = "exp123"
+
+        # Create a name that's exactly 32 characters
+        exact_name = "a" * 32
+        assert len(exact_name) == 32
+
+        container = DockerContainer(
+            name=exact_name,
+            command=["python", "script.py"],
+            executor=executor,
+            extra_env={},
+        )
+
+        mock_docker_client.containers.run.return_value = MagicMock()
+
+        container.run(mock_docker_client, "job123")
+
+        # Verify hostname is set to the full name
+        call_kwargs = mock_docker_client.containers.run.call_args[1]
+        assert call_kwargs["hostname"] == exact_name
+        assert len(call_kwargs["hostname"]) == 32
+
 
 class TestDockerJobRequest:
     def test_init(self, docker_executor):
diff --git a/test/core/execution/test_lepton.py b/test/core/execution/test_lepton.py
index 821c8d91..4d725133 100644
--- a/test/core/execution/test_lepton.py
+++ b/test/core/execution/test_lepton.py
@@ -24,6 +24,8 @@
     LeptonContainer,
     LeptonResourceAffinity,
     Mount,
+    EnvVar,
+    EnvValue,
 )
 from leptonai.api.v1.types.job import LeptonJob, LeptonJobUserSpec
 
@@ -59,6 +61,57 @@ def test_init(self):
         assert executor.nemo_run_dir == "/workspace/nemo_run"
         assert executor.mounts == [{"path": "/workspace", "mount_path": "/workspace"}]
 
+    def test_init_with_node_reservation(self):
+        """Test initialization with node_reservation parameter."""
+        executor = LeptonExecutor(
+            resource_shape="gpu.8xh100-80gb",
+            node_group="my-node-group",
+            container_image="test-image",
+            nodes=2,
+            gpus_per_node=8,
+            nemo_run_dir="/workspace/nemo_run",
+            mounts=[{"path": "/workspace", "mount_path": "/workspace"}],
+            node_reservation="my-reservation-id",
+        )
+
+        assert executor.node_reservation == "my-reservation-id"
+
+    def test_init_with_empty_node_reservation(self):
+        """Test initialization with empty node_reservation string."""
+        executor = LeptonExecutor(
+            container_image="test-image",
+            nemo_run_dir="/test/path",
+            mounts=[{"path": "/test", "mount_path": "/test"}],
+            node_reservation="",
+        )
+
+        assert executor.node_reservation == ""
+
+    def test_init_without_node_reservation(self):
+        """Test initialization without node_reservation parameter (default behavior)."""
+        executor = LeptonExecutor(
+            container_image="test-image",
+            nemo_run_dir="/test/path",
+            mounts=[{"path": "/test", "mount_path": "/test"}],
+        )
+
+        assert executor.node_reservation == ""
+
+    def test_init_with_secret_vars(self):
+        """Test initialization with node_reservation parameter."""
+        executor = LeptonExecutor(
+            resource_shape="gpu.8xh100-80gb",
+            node_group="my-node-group",
+            container_image="test-image",
+            nodes=2,
+            gpus_per_node=8,
+            secret_vars={"WANDB_API_KEY": "WANDB_API_KEY.zozhang"},
+            nemo_run_dir="/workspace/nemo_run",
+            mounts=[{"path": "/workspace", "mount_path": "/workspace"}],
+        )
+
+        assert executor.secret_vars == {"WANDB_API_KEY": "WANDB_API_KEY.zozhang"}
+
     @patch("nemo_run.core.execution.lepton.APIClient")
     def test_stop_job(self, mock_APIClient):
         mock_instance = MagicMock()
@@ -331,18 +384,107 @@ def test_create_lepton_job(self, mock_APIClient_class):
         mock_client.nodegroup.list_all.return_value = []
         valid_node_ids = ["node-id-1", "node-id-2"]
 
+        executor = LeptonExecutor(
+            container_image="test-image",
+            nemo_run_dir="/test/path",
+            node_group="123456",
+            env_vars={"TEST_ENV": "test-value"},
+            secret_vars={"TEST_SECRET": "test-secret"},
+            mounts=[{"path": "/test", "mount_path": "/test"}],
+        )
+        executor._valid_node_ids = MagicMock(return_value=valid_node_ids)
+        executor._node_group_id = MagicMock(return_value=node_group)
+
+        executor.create_lepton_job("my-lepton-job")
+
+        mock_client.job.create.assert_called_once()
+        created_job = mock_client.job.create.call_args[0][0]
+        assert created_job.spec.envs == [
+            EnvVar(name="TEST_ENV", value="test-value"),
+            EnvVar(name="TEST_SECRET", value_from=EnvValue(secret_name_ref="test-secret")),
+        ]
+
+    @patch("nemo_run.core.execution.lepton.APIClient")
+    def test_create_lepton_job_with_reservation_config(self, mock_APIClient_class):
+        """Test create_lepton_job creates ReservationConfig when node_reservation is set."""
+        mock_client = mock_APIClient_class.return_value
+        mock_client.job.create.return_value = LeptonJob(metadata=Metadata(id="my-lepton-job"))
+        node_group = SimpleNamespace(metadata=SimpleNamespace(id_="123456"))
+
+        mock_client.nodegroup.list_all.return_value = []
+        valid_node_ids = ["node-id-1", "node-id-2"]
+
+        executor = LeptonExecutor(
+            container_image="test-image",
+            nemo_run_dir="/test/path",
+            node_group="123456",
+            mounts=[{"path": "/test", "mount_path": "/test"}],
+            node_reservation="my-reservation-id",
+        )
+        executor._valid_node_ids = MagicMock(return_value=valid_node_ids)
+        executor._node_group_id = MagicMock(return_value=node_group)
+
+        executor.create_lepton_job("my-lepton-job")
+
+        # Verify that job.create was called with the correct ReservationConfig
+        mock_client.job.create.assert_called_once()
+        created_job = mock_client.job.create.call_args[0][0]
+        assert created_job.spec.reservation_config is not None
+        assert created_job.spec.reservation_config.reservation_id == "my-reservation-id"
+
+    @patch("nemo_run.core.execution.lepton.APIClient")
+    def test_create_lepton_job_without_reservation_config(self, mock_APIClient_class):
+        """Test create_lepton_job creates no ReservationConfig when node_reservation is not set."""
+        mock_client = mock_APIClient_class.return_value
+        mock_client.job.create.return_value = LeptonJob(metadata=Metadata(id="my-lepton-job"))
+        node_group = SimpleNamespace(metadata=SimpleNamespace(id_="123456"))
+
+        mock_client.nodegroup.list_all.return_value = []
+        valid_node_ids = ["node-id-1", "node-id-2"]
+
+        executor = LeptonExecutor(
+            container_image="test-image",
+            nemo_run_dir="/test/path",
+            node_group="123456",
+            mounts=[{"path": "/test", "mount_path": "/test"}],
+            # No node_reservation set
+        )
+        executor._valid_node_ids = MagicMock(return_value=valid_node_ids)
+        executor._node_group_id = MagicMock(return_value=node_group)
+
+        executor.create_lepton_job("my-lepton-job")
+
+        # Verify that job.create was called with no ReservationConfig
+        mock_client.job.create.assert_called_once()
+        created_job = mock_client.job.create.call_args[0][0]
+        assert created_job.spec.reservation_config is None
+
+    @patch("nemo_run.core.execution.lepton.APIClient")
+    def test_create_lepton_job_with_empty_reservation_config(self, mock_APIClient_class):
+        """Test create_lepton_job creates no ReservationConfig when node_reservation is empty string."""
+        mock_client = mock_APIClient_class.return_value
+        mock_client.job.create.return_value = LeptonJob(metadata=Metadata(id="my-lepton-job"))
+        node_group = SimpleNamespace(metadata=SimpleNamespace(id_="123456"))
+
+        mock_client.nodegroup.list_all.return_value = []
+        valid_node_ids = ["node-id-1", "node-id-2"]
+
         executor = LeptonExecutor(
             container_image="test-image",
             nemo_run_dir="/test/path",
             node_group="123456",
             mounts=[{"path": "/test", "mount_path": "/test"}],
+            node_reservation="",  # Empty string
         )
         executor._valid_node_ids = MagicMock(return_value=valid_node_ids)
         executor._node_group_id = MagicMock(return_value=node_group)
 
         executor.create_lepton_job("my-lepton-job")
 
+        # Verify that job.create was called with no ReservationConfig
         mock_client.job.create.assert_called_once()
+        created_job = mock_client.job.create.call_args[0][0]
+        assert created_job.spec.reservation_config is None
 
     def test_nnodes(self):
         executor = LeptonExecutor(
@@ -641,3 +783,217 @@ def test_macro_values(self):
         result = executor.macro_values()
 
         assert result is None
+
+    def test_pre_launch_commands_initialization(self):
+        """Test that pre_launch_commands can be initialized and defaults to empty list."""
+        # Test default initialization
+        executor = LeptonExecutor(
+            container_image="test-image",
+            nemo_run_dir="/test/path",
+        )
+        assert executor.pre_launch_commands == []
+
+        # Test initialization with commands
+        commands = ["echo 'Setting up environment'", "export TEST_VAR=value"]
+        executor_with_commands = LeptonExecutor(
+            container_image="test-image",
+            nemo_run_dir="/test/path",
+            pre_launch_commands=commands,
+        )
+        assert executor_with_commands.pre_launch_commands == commands
+
+    def test_launch_script_with_pre_launch_commands(self):
+        """Test that pre_launch_commands are correctly included in the launch script."""
+
+        # Test without pre_launch_commands
+        executor = LeptonExecutor(
+            container_image="test-image",
+            nemo_run_dir="/test/path",
+        )
+
+        # Test script section generation - empty case
+        pre_launch_section = ""
+        if executor.pre_launch_commands:
+            pre_launch_section = "\n".join(executor.pre_launch_commands) + "\n"
+        assert pre_launch_section == ""
+
+        # Test with pre_launch_commands
+        commands = ["echo 'Custom setup'", "export MY_VAR=test"]
+        executor_with_commands = LeptonExecutor(
+            container_image="test-image",
+            nemo_run_dir="/test/path",
+            pre_launch_commands=commands,
+        )
+
+        # Test script section generation - with commands
+        pre_launch_section_with_commands = ""
+        if executor_with_commands.pre_launch_commands:
+            pre_launch_section_with_commands = (
+                "\n".join(executor_with_commands.pre_launch_commands) + "\n"
+            )
+
+        expected_pre_launch = "echo 'Custom setup'\nexport MY_VAR=test\n"
+        assert pre_launch_section_with_commands == expected_pre_launch
+
+    @patch("nemo_run.core.execution.lepton.LeptonExecutor._validate_mounts")
+    @patch("nemo_run.core.execution.lepton.LeptonExecutor.move_data")
+    @patch("nemo_run.core.execution.lepton.LeptonExecutor.create_lepton_job")
+    @patch("nemo_run.core.execution.lepton.LeptonExecutor.status")
+    @patch("builtins.open", new_callable=mock_open)
+    @patch("os.path.join")
+    @patch("nemo_run.core.execution.lepton.logger")
+    def test_launch_method_comprehensive(
+        self,
+        mock_logger,
+        mock_join,
+        mock_file,
+        mock_status,
+        mock_create_job,
+        mock_move_data,
+        mock_validate_mounts,
+    ):
+        """Test launch method name validation, pre_launch_commands, and script generation."""
+        # Setup
+        executor = LeptonExecutor(
+            container_image="test-image", nemo_run_dir="/test", pre_launch_commands=["echo setup"]
+        )
+        executor.job_dir = executor.lepton_job_dir = "/fake"
+        mock_join.return_value = "/fake/script.sh"
+        mock_job = MagicMock()
+        mock_job.metadata.id_ = "job-id"
+        mock_create_job.return_value = mock_job
+        mock_status.return_value = LeptonJobState.Running
+
+        # Test name transformation and pre_launch_commands
+        job_id, status = executor.launch("Test_Job.Name", ["python", "script.py"])
+        assert job_id == "job-id"
+
+        # Verify script content includes pre_launch_commands
+        handle = mock_file.return_value.__enter__.return_value
+        written_content = handle.write.call_args[0][0]
+        assert "echo setup\n" in written_content
+        assert "python script.py" in written_content
+
+        # Test long name truncation
+        long_name = "a" * 50
+        executor.launch(long_name, ["cmd"])
+        mock_logger.warning.assert_called_with(
+            "length of name exceeds 35 characters. Shortening..."
+        )
+
+    @patch("nemo_run.core.execution.lepton.LeptonExecutor._validate_mounts")
+    @patch("nemo_run.core.execution.lepton.LeptonExecutor.move_data")
+    @patch("nemo_run.core.execution.lepton.LeptonExecutor.create_lepton_job")
+    @patch("nemo_run.core.execution.lepton.LeptonExecutor.status")
+    @patch("builtins.open", new_callable=mock_open)
+    @patch("os.path.join")
+    @patch("nemo_run.core.execution.lepton.logger")
+    def test_launch_error_paths(
+        self,
+        mock_logger,
+        mock_join,
+        mock_file,
+        mock_status,
+        mock_create_job,
+        mock_move_data,
+        mock_validate_mounts,
+    ):
+        """Test launch method error handling and logging."""
+        executor = LeptonExecutor(container_image="test-image", nemo_run_dir="/test/path")
+        executor.job_dir = executor.lepton_job_dir = "/fake/dir"
+        mock_join.return_value = "/fake/launch_script.sh"
+
+        # Test job creation failure
+        mock_create_job.return_value = None
+        with pytest.raises(RuntimeError, match="Failed to create Lepton job"):
+            executor.launch("test", ["cmd"])
+        mock_logger.info.assert_any_call("Creating distributed workload")
+
+        # Test missing job ID
+        mock_job = MagicMock()
+        mock_job.metadata.id_ = None
+        mock_create_job.return_value = mock_job
+        with pytest.raises(RuntimeError, match="Failed to retrieve job information"):
+            executor.launch("test", ["cmd"])
+
+        # Test status failure
+        mock_job.metadata.id_ = "job-id"
+        mock_status.return_value = None
+        with pytest.raises(RuntimeError, match="Failed to retrieve job status"):
+            executor.launch("test", ["cmd"])
+
+        # Test success path with logging
+        mock_status.return_value = LeptonJobState.Running
+        job_id, status = executor.launch("test", ["cmd"])
+        assert job_id == "job-id"
+        mock_logger.info.assert_any_call("Copying experiment directory to remote filesystem")
+
+    @patch("nemo_run.core.execution.lepton.LeptonExecutor._validate_mounts")
+    @patch("nemo_run.core.execution.lepton.LeptonExecutor.move_data")
+    @patch("nemo_run.core.execution.lepton.LeptonExecutor.create_lepton_job")
+    @patch("nemo_run.core.execution.lepton.LeptonExecutor.status")
+    @patch("builtins.open", new_callable=mock_open)
+    @patch("os.path.join")
+    @patch("nemo_run.core.execution.lepton.logger")
+    def test_launch_long_name_truncation(
+        self,
+        mock_logger,
+        mock_join,
+        mock_file,
+        mock_status,
+        mock_create_job,
+        mock_move_data,
+        mock_validate_mounts,
+    ):
+        """Test name truncation warning and logic (lines 246-247)."""
+        executor = LeptonExecutor(container_image="test-image", nemo_run_dir="/test/path")
+        executor.job_dir = executor.lepton_job_dir = "/fake/dir"
+        mock_join.return_value = "/fake/launch_script.sh"
+
+        mock_job = MagicMock()
+        mock_job.metadata.id_ = "job-id"
+        mock_create_job.return_value = mock_job
+        mock_status.return_value = LeptonJobState.Running
+
+        # Test long name triggers warning and truncation
+        long_name = "a" * 50  # 50 characters, exceeds 35
+        executor.launch(long_name, ["cmd"])
+        mock_logger.warning.assert_called_with(
+            "length of name exceeds 35 characters. Shortening..."
+        )
+
+    @patch("nemo_run.core.execution.lepton.LeptonExecutor._validate_mounts")
+    @patch("nemo_run.core.execution.lepton.LeptonExecutor.move_data")
+    @patch("nemo_run.core.execution.lepton.LeptonExecutor.create_lepton_job")
+    @patch("nemo_run.core.execution.lepton.LeptonExecutor.status")
+    @patch("builtins.open", new_callable=mock_open)
+    @patch("os.path.join")
+    def test_launch_prelaunch_commands_join(
+        self,
+        mock_join,
+        mock_file,
+        mock_status,
+        mock_create_job,
+        mock_move_data,
+        mock_validate_mounts,
+    ):
+        """Test pre_launch_commands joining logic (line 252)."""
+        executor = LeptonExecutor(
+            container_image="test-image",
+            nemo_run_dir="/test/path",
+            pre_launch_commands=["echo setup", "export VAR=1"],
+        )
+        executor.job_dir = executor.lepton_job_dir = "/fake/dir"
+        mock_join.return_value = "/fake/launch_script.sh"
+
+        mock_job = MagicMock()
+        mock_job.metadata.id_ = "job-id"
+        mock_create_job.return_value = mock_job
+        mock_status.return_value = LeptonJobState.Running
+
+        executor.launch("test", ["cmd"])
+
+        # Verify script contains joined pre_launch_commands
+        handle = mock_file.return_value.__enter__.return_value
+        written_content = handle.write.call_args[0][0]
+        assert "echo setup\nexport VAR=1\n" in written_content
diff --git a/test/core/execution/test_skypilot.py b/test/core/execution/test_skypilot.py
index eb67edbd..5d35c39c 100644
--- a/test/core/execution/test_skypilot.py
+++ b/test/core/execution/test_skypilot.py
@@ -68,6 +68,7 @@ class MockClusterNotUpError(Exception):
         "sky.core": sky_core_mock,
         "sky.skylet.job_lib": job_lib_mock,
         "sky.utils.common_utils": common_utils_mock,
+        "sky.resources": MagicMock(),
     }
 
     # Also mock the sky_exceptions module with our mock exception
@@ -141,6 +142,33 @@ def test_init_non_git_packager(self, mock_skypilot_imports):
                 packager=non_git_packager,
             )
 
+    def test_init_with_infra_and_cloud_fails(self, mock_skypilot_imports):
+        with pytest.raises(
+            AssertionError, match="Cannot specify both `infra` and `cloud` parameters."
+        ):
+            SkypilotExecutor(
+                infra="my-infra",
+                cloud="aws",
+            )
+
+    def test_init_with_infra_and_region_fails(self, mock_skypilot_imports):
+        with pytest.raises(
+            AssertionError, match="Cannot specify both `infra` and `region` parameters."
+        ):
+            SkypilotExecutor(
+                infra="my-infra",
+                region="us-west-2",
+            )
+
+    def test_init_with_infra_and_zone_fails(self, mock_skypilot_imports):
+        with pytest.raises(
+            AssertionError, match="Cannot specify both `infra` and `zone` parameters."
+        ):
+            SkypilotExecutor(
+                infra="my-infra",
+                zone="us-west-2a",
+            )
+
     def test_parse_app(self, mock_skypilot_imports):
         app_id = "app___cluster-name___task-name___123"
         cluster, task, job_id = SkypilotExecutor.parse_app(app_id)
@@ -228,6 +256,18 @@ def test_to_resources_with_none_string(self, mock_resources, mock_skypilot_impor
         assert config["cloud"] is None
         assert config["any_of"][1]["region"] is None
 
+    @patch("sky.resources.Resources")
+    def test_to_resources_with_infra_and_network_tier(self, mock_resources, mock_skypilot_imports):
+        executor = SkypilotExecutor(infra="k8s/my-context", network_tier="best")
+
+        executor.to_resources()
+
+        mock_resources.from_yaml_config.assert_called_once()
+
+        config = mock_resources.from_yaml_config.call_args[0][0]
+        assert config["infra"] == "k8s/my-context"
+        assert config["network_tier"] == "best"
+
     @patch("sky.core.status")
     @patch("sky.core.queue")
     @patch("nemo_run.core.execution.skypilot.SkypilotExecutor.parse_app")
@@ -521,3 +561,160 @@ def test_to_task(self, mock_task, mock_skypilot_imports, executor):
 
                 # Verify the returned task is our mock
                 assert result == mock_task_instance
+
+    @patch("sky.task.Task")
+    def test_to_task_with_storage_mounts(self, mock_task, mock_skypilot_imports):
+        # Create a mock task instance
+        mock_task_instance = MagicMock()
+        mock_task.return_value = mock_task_instance
+        mock_task_instance.set_file_mounts = MagicMock()
+        mock_task_instance.set_storage_mounts = MagicMock()
+        mock_task_instance.set_resources = MagicMock()
+
+        # Mock sky.data.Storage
+        mock_storage_class = MagicMock()
+        mock_storage_obj = MagicMock()
+        mock_storage_class.from_yaml_config.return_value = mock_storage_obj
+
+        executor = SkypilotExecutor(
+            container_image="test:latest",
+            storage_mounts={
+                "/workspace/outputs": {
+                    "name": "my-outputs",
+                    "store": "gcs",
+                    "mode": "MOUNT",
+                    "persistent": True,
+                }
+            },
+        )
+
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            executor.job_dir = tmp_dir
+
+            with patch.object(SkypilotExecutor, "to_resources") as mock_to_resources:
+                mock_to_resources.return_value = MagicMock()
+
+                with patch("sky.data.Storage", mock_storage_class):
+                    executor.to_task("test_task")
+
+                    # Verify Storage.from_yaml_config was called with the config
+                    mock_storage_class.from_yaml_config.assert_called_once_with(
+                        {
+                            "name": "my-outputs",
+                            "store": "gcs",
+                            "mode": "MOUNT",
+                            "persistent": True,
+                        }
+                    )
+
+                    # Verify set_storage_mounts was called with Storage objects
+                    mock_task_instance.set_storage_mounts.assert_called_once()
+                    storage_mounts_call = mock_task_instance.set_storage_mounts.call_args[0][0]
+                    assert "/workspace/outputs" in storage_mounts_call
+                    assert storage_mounts_call["/workspace/outputs"] == mock_storage_obj
+
+    @patch("sky.task.Task")
+    def test_to_task_with_both_file_and_storage_mounts(self, mock_task, mock_skypilot_imports):
+        # Create a mock task instance
+        mock_task_instance = MagicMock()
+        mock_task.return_value = mock_task_instance
+        mock_task_instance.set_file_mounts = MagicMock()
+        mock_task_instance.set_storage_mounts = MagicMock()
+        mock_task_instance.set_resources = MagicMock()
+
+        # Mock sky.data.Storage
+        mock_storage_class = MagicMock()
+        mock_storage_obj = MagicMock()
+        mock_storage_class.from_yaml_config.return_value = mock_storage_obj
+
+        executor = SkypilotExecutor(
+            container_image="test:latest",
+            file_mounts={
+                "/workspace/code": "/local/path/to/code",
+            },
+            storage_mounts={
+                "/workspace/outputs": {
+                    "name": "my-outputs",
+                    "store": "s3",
+                    "mode": "MOUNT",
+                },
+                "/workspace/checkpoints": {
+                    "name": "my-checkpoints",
+                    "store": "gcs",
+                    "mode": "MOUNT_CACHED",
+                },
+            },
+        )
+
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            executor.job_dir = tmp_dir
+
+            with patch.object(SkypilotExecutor, "to_resources") as mock_to_resources:
+                mock_to_resources.return_value = MagicMock()
+
+                with patch("sky.data.Storage", mock_storage_class):
+                    executor.to_task("test_task")
+
+                    # Verify file_mounts includes both user files and nemo_run
+                    file_mounts_call = mock_task_instance.set_file_mounts.call_args[0][0]
+                    assert "/workspace/code" in file_mounts_call
+                    assert file_mounts_call["/workspace/code"] == "/local/path/to/code"
+                    assert "/nemo_run" in file_mounts_call
+                    assert file_mounts_call["/nemo_run"] == tmp_dir
+
+                    # Verify Storage.from_yaml_config was called for both storage mounts
+                    assert mock_storage_class.from_yaml_config.call_count == 2
+
+                    # Verify set_storage_mounts was called with both Storage objects
+                    mock_task_instance.set_storage_mounts.assert_called_once()
+                    storage_mounts_call = mock_task_instance.set_storage_mounts.call_args[0][0]
+                    assert "/workspace/outputs" in storage_mounts_call
+                    assert "/workspace/checkpoints" in storage_mounts_call
+                    assert len(storage_mounts_call) == 2
+
+    @patch("sky.task.Task")
+    def test_to_task_without_storage_mounts(self, mock_task, mock_skypilot_imports):
+        # Test that set_storage_mounts is not called when storage_mounts is None
+        mock_task_instance = MagicMock()
+        mock_task.return_value = mock_task_instance
+        mock_task_instance.set_file_mounts = MagicMock()
+        mock_task_instance.set_storage_mounts = MagicMock()
+        mock_task_instance.set_resources = MagicMock()
+
+        executor = SkypilotExecutor(
+            container_image="test:latest",
+            file_mounts={"/workspace/code": "/local/path"},
+            storage_mounts=None,  # Explicitly set to None
+        )
+
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            executor.job_dir = tmp_dir
+
+            with patch.object(SkypilotExecutor, "to_resources") as mock_to_resources:
+                mock_to_resources.return_value = MagicMock()
+
+                executor.to_task("test_task")
+
+                # Verify set_storage_mounts was NOT called
+                mock_task_instance.set_storage_mounts.assert_not_called()
+
+                # Verify file_mounts still works
+                mock_task_instance.set_file_mounts.assert_called_once()
+
+    def test_init_with_storage_mounts(self, mock_skypilot_imports):
+        # Test initialization with storage_mounts parameter
+        executor = SkypilotExecutor(
+            container_image="test:latest",
+            storage_mounts={
+                "/workspace/data": {
+                    "name": "training-data",
+                    "store": "s3",
+                    "mode": "MOUNT",
+                }
+            },
+        )
+
+        assert executor.storage_mounts is not None
+        assert "/workspace/data" in executor.storage_mounts
+        assert executor.storage_mounts["/workspace/data"]["name"] == "training-data"
+        assert executor.storage_mounts["/workspace/data"]["store"] == "s3"
diff --git a/test/core/execution/test_skypilot_jobs.py b/test/core/execution/test_skypilot_jobs.py
new file mode 100644
index 00000000..66a7e953
--- /dev/null
+++ b/test/core/execution/test_skypilot_jobs.py
@@ -0,0 +1,529 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+import tempfile
+from unittest.mock import MagicMock, mock_open, patch
+
+import pytest
+
+from nemo_run.core.execution.skypilot_jobs import SkypilotJobsExecutor
+from nemo_run.core.packaging.git import GitArchivePackager
+
+
+@pytest.fixture
+def mock_skypilot_imports():
+    class MockClusterNotUpError(Exception):
+        pass
+
+    sky_mock = MagicMock()
+    sky_task_mock = MagicMock()
+    backends_mock = MagicMock()
+    sky_jobs_mock = MagicMock()
+    job_status_mock = MagicMock()
+    job_status_mock.RUNNING = "RUNNING"
+    job_status_mock.SUCCEEDED = "SUCCEEDED"
+    job_status_mock.FAILED = "FAILED"
+    job_status_mock.is_terminal = MagicMock()
+
+    sky_exceptions_mock = MagicMock()
+    sky_exceptions_mock.ClusterNotUpError = MockClusterNotUpError
+
+    modules = {
+        "sky": sky_mock,
+        "sky.task": sky_task_mock,
+        "sky.backends": backends_mock,
+        "sky.jobs.client.sdk": sky_jobs_mock,
+        "sky.resources": MagicMock(),
+        "sky.exceptions": sky_exceptions_mock,
+    }
+
+    with patch.dict("sys.modules", modules):
+        with patch("nemo_run.core.execution.skypilot_jobs._SKYPILOT_AVAILABLE", True):
+            yield (
+                sky_mock,
+                sky_task_mock,
+                backends_mock,
+                sky_jobs_mock,
+                sky_exceptions_mock,
+                job_status_mock,
+            )
+
+
+class TestSkypilotJobsExecutor:
+    @pytest.fixture
+    def executor(self, mock_skypilot_imports):
+        return SkypilotJobsExecutor(
+            container_image="nvcr.io/nvidia/nemo:latest",
+            cloud="kubernetes",
+            cluster_name="test-cluster",
+            gpus="A100",
+            gpus_per_node=8,
+            num_nodes=2,
+            use_spot=True,
+            file_mounts={
+                "test_file": "/path/to/test_file",
+            },
+            setup="pip install -r requirements.txt",
+        )
+
+    def test_init(self, mock_skypilot_imports):
+        executor = SkypilotJobsExecutor(
+            container_image="nvcr.io/nvidia/nemo:latest",
+            cloud="kubernetes",
+            cluster_name="test-cluster",
+            gpus="A100",
+            gpus_per_node=8,
+        )
+
+        assert executor.container_image == "nvcr.io/nvidia/nemo:latest"
+        assert executor.cloud == "kubernetes"
+        assert executor.cluster_name == "test-cluster"
+        assert executor.gpus == "A100"
+        assert executor.gpus_per_node == 8
+        assert executor.num_nodes == 1
+        assert isinstance(executor.packager, GitArchivePackager)
+
+    def test_init_missing_skypilot(self):
+        with patch("nemo_run.core.execution.skypilot_jobs._SKYPILOT_AVAILABLE", False):
+            with pytest.raises(AssertionError, match="Skypilot is not installed"):
+                SkypilotJobsExecutor(
+                    container_image="nvcr.io/nvidia/nemo:latest",
+                    cloud="kubernetes",
+                )
+
+    def test_init_non_git_packager(self, mock_skypilot_imports):
+        non_git_packager = MagicMock()
+
+        with pytest.raises(AssertionError, match="Only GitArchivePackager is currently supported"):
+            SkypilotJobsExecutor(
+                container_image="nvcr.io/nvidia/nemo:latest",
+                cloud="kubernetes",
+                packager=non_git_packager,
+            )
+
+    def test_init_with_infra_and_cloud_fails(self, mock_skypilot_imports):
+        with pytest.raises(
+            AssertionError, match="Cannot specify both `infra` and `cloud` parameters."
+        ):
+            SkypilotJobsExecutor(
+                infra="my-infra",
+                cloud="aws",
+            )
+
+    def test_init_with_infra_and_region_fails(self, mock_skypilot_imports):
+        with pytest.raises(
+            AssertionError, match="Cannot specify both `infra` and `region` parameters."
+        ):
+            SkypilotJobsExecutor(
+                infra="my-infra",
+                region="us-west-2",
+            )
+
+    def test_init_with_infra_and_zone_fails(self, mock_skypilot_imports):
+        with pytest.raises(
+            AssertionError, match="Cannot specify both `infra` and `zone` parameters."
+        ):
+            SkypilotJobsExecutor(
+                infra="my-infra",
+                zone="us-west-2a",
+            )
+
+    def test_parse_app(self, mock_skypilot_imports):
+        # Note: SkypilotJobsExecutor uses 3 components instead of 4
+        app_id = "cluster-name___task-name___123"
+        cluster, task, job_id = SkypilotJobsExecutor.parse_app(app_id)
+
+        assert cluster == "cluster-name"
+        assert task == "task-name"
+        assert job_id == 123
+
+    def test_parse_app_invalid(self, mock_skypilot_imports):
+        # The implementation raises IndexError when the app_id format is invalid
+        with pytest.raises(IndexError):
+            SkypilotJobsExecutor.parse_app("invalid_app_id")
+
+        # Test with a partially valid app_id
+        with pytest.raises(IndexError):
+            SkypilotJobsExecutor.parse_app("cluster___task")
+
+    @patch("sky.resources.Resources")
+    def test_to_resources_with_gpu(self, mock_resources, mock_skypilot_imports, executor):
+        executor.to_resources()
+
+        mock_resources.from_yaml_config.assert_called_once()
+        config = mock_resources.from_yaml_config.call_args[0][0]
+        assert "accelerators" in config
+        assert config["accelerators"] == {"A100": 8}
+
+    @patch("sky.resources.Resources")
+    def test_to_resources_with_container(self, mock_resources, mock_skypilot_imports):
+        executor = SkypilotJobsExecutor(
+            container_image="nvcr.io/nvidia/nemo:latest",
+            cloud="kubernetes",
+        )
+
+        executor.to_resources()
+
+        mock_resources.from_yaml_config.assert_called_once()
+        config = mock_resources.from_yaml_config.call_args[0][0]
+        assert config["image_id"] == "nvcr.io/nvidia/nemo:latest"
+
+    @patch("sky.resources.Resources")
+    def test_to_resources_with_list_values(self, mock_resources, mock_skypilot_imports):
+        executor = SkypilotJobsExecutor(
+            cloud=["aws", "azure"],
+            region=["us-west-2", "eastus"],
+            cpus=[16, 8],
+            memory=[64, 32],
+        )
+
+        executor.to_resources()
+
+        mock_resources.from_yaml_config.assert_called_once()
+        config = mock_resources.from_yaml_config.call_args[0][0]
+        assert len(config["any_of"]) == 2
+        assert config["any_of"][0]["cloud"] == "aws"
+        assert config["any_of"][0]["region"] == "us-west-2"
+        assert config["any_of"][0]["cpus"] == 16
+        assert config["any_of"][0]["memory"] == 64
+        assert config["any_of"][1]["cloud"] == "azure"
+        assert config["any_of"][1]["region"] == "eastus"
+        assert config["any_of"][1]["cpus"] == 8
+        assert config["any_of"][1]["memory"] == 32
+
+    @patch("sky.resources.Resources")
+    def test_to_resources_with_none_string(self, mock_resources, mock_skypilot_imports):
+        executor = SkypilotJobsExecutor(
+            cloud="none",
+            region=["us-west-2", "none"],
+        )
+
+        executor.to_resources()
+
+        mock_resources.from_yaml_config.assert_called_once()
+        config = mock_resources.from_yaml_config.call_args[0][0]
+        assert config["cloud"] is None
+        assert config["any_of"][1]["region"] is None
+
+    @patch("sky.resources.Resources")
+    def test_to_resources_with_infra_and_network_tier(self, mock_resources, mock_skypilot_imports):
+        executor = SkypilotJobsExecutor(infra="k8s/my-context", network_tier="best")
+
+        executor.to_resources()
+
+        mock_resources.from_yaml_config.assert_called_once()
+
+        config = mock_resources.from_yaml_config.call_args[0][0]
+        assert config["infra"] == "k8s/my-context"
+        assert config["network_tier"] == "best"
+
+    @patch("sky.stream_and_get")
+    @patch("sky.jobs.client.sdk.queue")
+    @patch("nemo_run.core.execution.skypilot_jobs.SkypilotJobsExecutor.parse_app")
+    def test_status_success(self, mock_parse_app, mock_queue, mock_stream_and_get):
+        mock_job_details = {"job_id": 123, "status": "RUNNING"}
+        mock_stream_and_get.return_value = [mock_job_details]
+        mock_parse_app.return_value = ("cluster-name", "task-name", 123)
+
+        details = SkypilotJobsExecutor.status("cluster-name___task-name___123")
+
+        assert details == mock_job_details
+        mock_stream_and_get.assert_called_once()
+        mock_queue.assert_called_once_with(refresh=True, all_users=True, job_ids=[123])
+
+    @patch("sky.stream_and_get")
+    @patch("sky.jobs.client.sdk.queue")
+    @patch("nemo_run.core.execution.skypilot_jobs.SkypilotJobsExecutor.parse_app")
+    def test_status_cluster_not_up(self, mock_parse_app, mock_queue, mock_stream_and_get):
+        class MockClusterNotUpError(Exception):
+            pass
+
+        mock_stream_and_get.side_effect = MockClusterNotUpError("Cluster not up")
+        mock_parse_app.return_value = ("cluster-name", "task-name", 123)
+
+        with patch("sky.exceptions.ClusterNotUpError", MockClusterNotUpError):
+            job_details = SkypilotJobsExecutor.status("cluster-name___task-name___123")
+            assert job_details is None
+
+    @patch("sky.jobs.client.sdk.tail_logs")
+    @patch("nemo_run.core.execution.skypilot_jobs.SkypilotJobsExecutor.status")
+    @patch("nemo_run.core.execution.skypilot_jobs.SkypilotJobsExecutor.parse_app")
+    def test_logs_running_job(self, mock_parse_app, mock_status, mock_tail_logs):
+        mock_parse_app.return_value = ("cluster-name", "task-name", 123)
+        mock_job_status = MagicMock()
+        mock_job_status.is_terminal.return_value = False
+        mock_status.return_value = {"job_id": 123, "status": mock_job_status}
+
+        SkypilotJobsExecutor.logs("cluster-name___task-name___123", "/path/to/logs")
+
+        mock_tail_logs.assert_called_once_with(job_id=123)
+
+    @patch("nemo_run.core.execution.skypilot_jobs.SkypilotJobsExecutor.status")
+    @patch("nemo_run.core.execution.skypilot_jobs.SkypilotJobsExecutor.parse_app")
+    @patch("builtins.open", new_callable=mock_open, read_data="Test log content")
+    @patch("os.path.isfile")
+    @patch("builtins.print")
+    def test_logs_terminal_job_fallback(
+        self, mock_print, mock_isfile, mock_open, mock_parse_app, mock_status
+    ):
+        mock_parse_app.return_value = ("cluster-name", "task-name", 123)
+        mock_job_status = MagicMock()
+        mock_job_status.is_terminal.return_value = True
+        mock_status.return_value = {"job_id": 123, "status": mock_job_status}
+        mock_isfile.return_value = True
+
+        SkypilotJobsExecutor.logs("cluster-name___task-name___123", "/path/to/logs")
+
+        mock_open.assert_called_once()
+        mock_print.assert_called_with("Test log content", end="", flush=True)
+
+    @patch("sky.jobs.client.sdk.cancel")
+    @patch("nemo_run.core.execution.skypilot_jobs.SkypilotJobsExecutor.status")
+    @patch("nemo_run.core.execution.skypilot_jobs.SkypilotJobsExecutor.parse_app")
+    def test_cancel(self, mock_parse_app, mock_status, mock_cancel):
+        mock_parse_app.return_value = ("cluster-name", "task-name", 123)
+        mock_status.return_value = {"job_id": 123, "status": "RUNNING"}
+
+        SkypilotJobsExecutor.cancel("cluster-name___task-name___123")
+
+        mock_cancel.assert_called_once_with(job_ids=[123])
+
+    @patch("sky.jobs.client.sdk.cancel")
+    @patch("nemo_run.core.execution.skypilot_jobs.SkypilotJobsExecutor.status")
+    @patch("nemo_run.core.execution.skypilot_jobs.SkypilotJobsExecutor.parse_app")
+    def test_cancel_no_job(self, mock_parse_app, mock_status, mock_cancel):
+        mock_parse_app.return_value = ("cluster-name", "task-name", 123)
+        mock_status.return_value = None
+
+        SkypilotJobsExecutor.cancel("cluster-name___task-name___123")
+
+        mock_cancel.assert_not_called()
+
+    @patch("sky.stream_and_get")
+    @patch("sky.jobs.client.sdk.launch")
+    def test_launch(self, mock_launch, mock_stream_and_get, executor):
+        mock_handle = MagicMock()
+        mock_launch.return_value = MagicMock()
+        mock_stream_and_get.return_value = (123, mock_handle)
+
+        job_id, handle = executor.launch(MagicMock())
+
+        assert job_id == 123
+        assert handle is mock_handle
+
+    def test_workdir(self, executor):
+        executor.job_dir = "/path/to/job"
+        assert executor.workdir == "/path/to/job/workdir"
+
+    @patch("os.path.exists")
+    def test_package_configs(self, mock_exists, executor):
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            executor.job_dir = tmp_dir
+            mock_exists.return_value = True
+            configs = executor.package_configs(
+                ("config1.yaml", "content1"), ("config2.yaml", "content2")
+            )
+
+            assert len(configs) == 2
+            assert configs[0].endswith("config1.yaml")
+            assert configs[1].endswith("config2.yaml")
+
+    def test_assign(self, executor):
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            executor.assign(
+                exp_id="test_exp",
+                exp_dir=tmp_dir,
+                task_id="test_task",
+                task_dir="test_task_dir",
+            )
+
+            assert executor.experiment_id == "test_exp"
+            assert executor.experiment_dir == tmp_dir
+            assert executor.job_dir == os.path.join(tmp_dir, "test_task_dir")
+            assert executor.job_name == "test_task"
+
+    def test_nnodes(self, executor):
+        assert executor.nnodes() == 2
+
+        default_executor = SkypilotJobsExecutor(container_image="test:latest")
+        assert default_executor.nnodes() == 1
+
+    def test_nproc_per_node(self, executor):
+        assert executor.nproc_per_node() == 8
+
+        executor.torchrun_nproc_per_node = 4
+        assert executor.nproc_per_node() == 4
+
+    def test_macro_values(self, executor):
+        macro_values = executor.macro_values()
+
+        assert macro_values is not None
+        assert macro_values.head_node_ip_var == "head_node_ip"
+        assert macro_values.nproc_per_node_var == "SKYPILOT_NUM_GPUS_PER_NODE"
+        assert macro_values.num_nodes_var == "num_nodes"
+        assert macro_values.node_rank_var == "SKYPILOT_NODE_RANK"
+        assert macro_values.het_group_host_var == "het_group_host"
+
+    @patch("sky.task.Task")
+    def test_to_task(self, mock_task, mock_skypilot_imports, executor):
+        mock_task_instance = MagicMock()
+        mock_task.return_value = mock_task_instance
+
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            executor.job_dir = tmp_dir
+            executor.file_mounts = {"test_file": "/path/to/test_file"}
+
+            result = executor.to_task(
+                "test_task", ["python", "train.py"], {"TEST_VAR": "test_value"}
+            )
+
+            mock_task.assert_called_once()
+            assert mock_task.call_args[1]["name"] == "test_task"
+            assert mock_task.call_args[1]["num_nodes"] == 2
+            mock_task_instance.set_file_mounts.assert_called_once()
+            mock_task_instance.set_resources.assert_called_once()
+            mock_task_instance.update_envs.assert_called_once_with({"TEST_VAR": "test_value"})
+            assert result == mock_task_instance
+
+    @patch("sky.task.Task")
+    def test_to_task_with_storage_mounts(self, mock_task, mock_skypilot_imports):
+        # Create a mock task instance
+        mock_task_instance = MagicMock()
+        mock_task.return_value = mock_task_instance
+        mock_task_instance.set_file_mounts = MagicMock()
+        mock_task_instance.set_storage_mounts = MagicMock()
+        mock_task_instance.set_resources = MagicMock()
+
+        # Mock sky.data.Storage
+        mock_storage_class = MagicMock()
+        mock_storage_obj = MagicMock()
+        mock_storage_class.from_yaml_config.return_value = mock_storage_obj
+
+        executor = SkypilotJobsExecutor(
+            container_image="test:latest",
+            storage_mounts={
+                "/workspace/outputs": {
+                    "name": "my-outputs",
+                    "store": "gcs",
+                    "mode": "MOUNT",
+                    "persistent": True,
+                }
+            },
+        )
+
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            executor.job_dir = tmp_dir
+
+            with patch("sky.data.Storage", mock_storage_class):
+                executor.to_task("test_task")
+
+                # Verify Storage.from_yaml_config was called with the config
+                mock_storage_class.from_yaml_config.assert_called_once_with(
+                    {
+                        "name": "my-outputs",
+                        "store": "gcs",
+                        "mode": "MOUNT",
+                        "persistent": True,
+                    }
+                )
+
+                # Verify set_storage_mounts was called with Storage objects
+                mock_task_instance.set_storage_mounts.assert_called_once()
+                storage_mounts_call = mock_task_instance.set_storage_mounts.call_args[0][0]
+                assert "/workspace/outputs" in storage_mounts_call
+                assert storage_mounts_call["/workspace/outputs"] == mock_storage_obj
+
+    @patch("sky.task.Task")
+    def test_to_task_with_both_file_and_storage_mounts(self, mock_task, mock_skypilot_imports):
+        # Create a mock task instance
+        mock_task_instance = MagicMock()
+        mock_task.return_value = mock_task_instance
+        mock_task_instance.set_file_mounts = MagicMock()
+        mock_task_instance.set_storage_mounts = MagicMock()
+        mock_task_instance.set_resources = MagicMock()
+
+        # Mock sky.data.Storage
+        mock_storage_class = MagicMock()
+        mock_storage_obj = MagicMock()
+        mock_storage_class.from_yaml_config.return_value = mock_storage_obj
+
+        executor = SkypilotJobsExecutor(
+            container_image="test:latest",
+            file_mounts={
+                "/workspace/code": "/local/path/to/code",
+            },
+            storage_mounts={
+                "/workspace/outputs": {
+                    "name": "my-outputs",
+                    "store": "s3",
+                    "mode": "MOUNT",
+                },
+                "/workspace/checkpoints": {
+                    "name": "my-checkpoints",
+                    "store": "gcs",
+                    "mode": "MOUNT_CACHED",
+                },
+            },
+        )
+
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            executor.job_dir = tmp_dir
+
+            with patch("sky.data.Storage", mock_storage_class):
+                executor.to_task("test_task")
+
+                # Verify file_mounts includes both user files and nemo_run
+                file_mounts_call = mock_task_instance.set_file_mounts.call_args[0][0]
+                assert "/workspace/code" in file_mounts_call
+                assert file_mounts_call["/workspace/code"] == "/local/path/to/code"
+                assert "/nemo_run" in file_mounts_call
+                assert file_mounts_call["/nemo_run"] == tmp_dir
+
+                # Verify Storage.from_yaml_config was called for both storage mounts
+                assert mock_storage_class.from_yaml_config.call_count == 2
+
+                # Verify set_storage_mounts was called with both Storage objects
+                mock_task_instance.set_storage_mounts.assert_called_once()
+                storage_mounts_call = mock_task_instance.set_storage_mounts.call_args[0][0]
+                assert "/workspace/outputs" in storage_mounts_call
+                assert "/workspace/checkpoints" in storage_mounts_call
+                assert len(storage_mounts_call) == 2
+
+    @patch("sky.task.Task")
+    def test_to_task_without_storage_mounts(self, mock_task, mock_skypilot_imports):
+        # Test that set_storage_mounts is not called when storage_mounts is None
+        mock_task_instance = MagicMock()
+        mock_task.return_value = mock_task_instance
+        mock_task_instance.set_file_mounts = MagicMock()
+        mock_task_instance.set_storage_mounts = MagicMock()
+        mock_task_instance.set_resources = MagicMock()
+
+        executor = SkypilotJobsExecutor(
+            container_image="test:latest",
+            file_mounts={"/workspace/code": "/local/path"},
+            storage_mounts=None,  # Explicitly set to None
+        )
+
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            executor.job_dir = tmp_dir
+
+            executor.to_task("test_task")
+
+            # Verify set_storage_mounts was NOT called
+            mock_task_instance.set_storage_mounts.assert_not_called()
+
+            # Verify file_mounts still works
+            mock_task_instance.set_file_mounts.assert_called_once()
diff --git a/test/core/execution/test_slurm.py b/test/core/execution/test_slurm.py
index 4c681111..5f194df0 100644
--- a/test/core/execution/test_slurm.py
+++ b/test/core/execution/test_slurm.py
@@ -198,7 +198,7 @@ def test_get_nsys_entrypoint(self):
 
         with patch.object(executor, "get_launcher", return_value=launcher_mock):
             assert executor.get_nsys_entrypoint() == (
-                'bash -c \'GPU_METRICS_FLAG=""; if [ "$SLURM_PROCID" -eq 0 ]; then GPU_METRICS_FLAG="--gpu-metrics-devices=all"; fi; nsys',
+                'bash -c \'GPU_METRICS_FLAG=""; if echo "${GPU_METRICS_NODES}" | grep -q -w "${SLURM_NODEID}"; then GPU_METRICS_FLAG="--gpu-metrics-devices=${SLURM_LOCALID}"; fi; nsys',
                 "'",
             )
 
diff --git a/test/core/execution/test_slurm_templates.py b/test/core/execution/test_slurm_templates.py
index 0aa32619..a0269543 100644
--- a/test/core/execution/test_slurm_templates.py
+++ b/test/core/execution/test_slurm_templates.py
@@ -682,3 +682,177 @@ def srun_stdout(self):
         sbatch_script = het_request.materialize()
         for i in range(len(het_request.jobs)):
             assert f"#SBATCH --job-name={custom_name}-{i}" in sbatch_script
+
+    def test_exclusive_parameter_boolean(self, dummy_slurm_request_with_artifact):
+        dummy_slurm_request, _ = dummy_slurm_request_with_artifact
+
+        # Test exclusive=True
+        dummy_slurm_request.executor.exclusive = True
+        sbatch_script = dummy_slurm_request.materialize()
+        assert "#SBATCH --exclusive" in sbatch_script
+
+        # Test exclusive=None (should not appear)
+        dummy_slurm_request.executor.exclusive = None
+        sbatch_script = dummy_slurm_request.materialize()
+        assert "#SBATCH --exclusive" not in sbatch_script
+
+    def test_exclusive_parameter_string(self, dummy_slurm_request_with_artifact):
+        dummy_slurm_request, _ = dummy_slurm_request_with_artifact
+
+        # Test exclusive="user"
+        dummy_slurm_request.executor.exclusive = "user"
+        sbatch_script = dummy_slurm_request.materialize()
+        assert "#SBATCH --exclusive=user" in sbatch_script
+
+    def test_segment_parameter(self, dummy_slurm_request_with_artifact):
+        dummy_slurm_request, _ = dummy_slurm_request_with_artifact
+        dummy_slurm_request.executor.segment = 1
+        sbatch_script = dummy_slurm_request.materialize()
+        assert "#SBATCH --segment=1" in sbatch_script
+
+    def test_network_parameter(self, dummy_slurm_request_with_artifact):
+        dummy_slurm_request, _ = dummy_slurm_request_with_artifact
+        dummy_slurm_request.executor.network = "ib"
+        sbatch_script = dummy_slurm_request.materialize()
+        assert "#SBATCH --network=ib" in sbatch_script
+
+    def test_setup_lines_included(self, dummy_slurm_request_with_artifact):
+        dummy_slurm_request, _ = dummy_slurm_request_with_artifact
+        setup_commands = "module load cuda/12.0\nexport CUSTOM_VAR=value"
+        dummy_slurm_request.executor.setup_lines = setup_commands
+        sbatch_script = dummy_slurm_request.materialize()
+        assert "module load cuda/12.0" in sbatch_script
+        assert "export CUSTOM_VAR=value" in sbatch_script
+
+    def test_container_env_variables(self, dummy_slurm_request_with_artifact):
+        dummy_slurm_request, _ = dummy_slurm_request_with_artifact
+        dummy_slurm_request.executor.container_image = "test_image"
+        dummy_slurm_request.executor.container_env = ["VAR1", "VAR2", "VAR3"]
+        sbatch_script = dummy_slurm_request.materialize()
+        assert "--container-env VAR1,VAR2,VAR3" in sbatch_script
+
+    def test_rundir_special_name_replacement(self, dummy_slurm_request_with_artifact):
+        dummy_slurm_request, _ = dummy_slurm_request_with_artifact
+        from nemo_run.config import RUNDIR_SPECIAL_NAME
+
+        dummy_slurm_request.executor.container_mounts = [
+            f"{RUNDIR_SPECIAL_NAME}/data:/data",
+            "/regular/mount:/mount",
+        ]
+        dummy_slurm_request.executor.container_image = "test_image"
+        sbatch_script = dummy_slurm_request.materialize()
+
+        # Should replace RUNDIR_SPECIAL_NAME with the actual job directory
+        assert "/root/sample_job/data:/data" in sbatch_script
+        assert "/regular/mount:/mount" in sbatch_script
+
+    def test_het_group_indices(self, het_slurm_request_with_artifact):
+        het_slurm_request, _ = het_slurm_request_with_artifact
+
+        # Set custom het_group_indices
+        het_slurm_request.executor.het_group_indices = [0, 0]  # Both jobs in same het group
+        het_slurm_request.executor.resource_group[0].het_group_index = 0
+        het_slurm_request.executor.resource_group[1].het_group_index = 0
+
+        sbatch_script = het_slurm_request.materialize()
+
+        # Should have --het-group=0 for both commands
+        assert "--het-group=0" in sbatch_script
+        # Should only have one set of SBATCH flags since both are in same group
+        assert sbatch_script.count("#SBATCH --account=your_account") == 1
+
+    def test_het_group_indices_multiple_groups(self, het_slurm_request_with_artifact):
+        het_slurm_request, _ = het_slurm_request_with_artifact
+
+        # Add a third resource group
+        het_slurm_request.executor.resource_group.append(
+            SlurmExecutor.ResourceRequest(
+                packager=GitArchivePackager(),
+                nodes=2,
+                ntasks_per_node=4,
+                container_image="image_3",
+                gpus_per_node=4,
+                env_vars={"CUSTOM_ENV_3": "value3"},
+                container_mounts=[],
+            )
+        )
+        het_slurm_request.jobs.append("sample_job-2")
+        het_slurm_request.command_groups.append(["bash ./scripts/third_job.sh"])
+
+        # Set het_group_indices: job 0 and 1 in group 0, job 2 in group 1
+        het_slurm_request.executor.het_group_indices = [0, 0, 1]
+        het_slurm_request.executor.resource_group[0].het_group_index = 0
+        het_slurm_request.executor.resource_group[1].het_group_index = 0
+        het_slurm_request.executor.resource_group[2].het_group_index = 1
+
+        sbatch_script = het_slurm_request.materialize()
+
+        # Should have two sets of SBATCH flags (one for each het group)
+        assert sbatch_script.count("#SBATCH hetjob") == 1  # Only between different groups
+        assert "--het-group=0" in sbatch_script
+        assert "--het-group=1" in sbatch_script
+
+    def test_stderr_to_stdout_false(self, dummy_slurm_request_with_artifact):
+        dummy_slurm_request, _ = dummy_slurm_request_with_artifact
+        dummy_slurm_request.executor.stderr_to_stdout = False
+
+        sbatch_script = dummy_slurm_request.materialize()
+
+        # Should have separate error file
+        assert "#SBATCH --error=" in sbatch_script
+        assert (
+            "--error /root/sample_job/log-account-account.sample_job_%j_${SLURM_RESTART_COUNT:-0}.err"
+            in sbatch_script
+        )
+
+    def test_wait_time_for_group_job_zero(self, group_slurm_request_with_artifact):
+        group_slurm_request, _ = group_slurm_request_with_artifact
+        group_slurm_request.executor.wait_time_for_group_job = 0
+        group_slurm_request.executor.run_as_group = True
+
+        sbatch_script = group_slurm_request.materialize()
+
+        # Should still have the & pids pattern but no sleep
+        assert "& pids[0]=$!" in sbatch_script
+        assert "& pids[1]=$!" in sbatch_script
+        assert "sleep 0" in sbatch_script  # Sleep 0 is included
+
+    def test_resource_group_with_different_srun_args(
+        self, group_resource_req_slurm_request_with_artifact
+    ):
+        group_req, _ = group_resource_req_slurm_request_with_artifact
+
+        # Set different srun_args for each resource group
+        group_req.executor.resource_group[0].srun_args = ["--cpu-bind=cores"]
+        group_req.executor.resource_group[1].srun_args = ["--mpi=pmix", "--cpu-bind=none"]
+
+        sbatch_script = group_req.materialize()
+
+        # Check that each srun command has its specific args
+        assert "--cpu-bind=cores" in sbatch_script
+        assert "--mpi=pmix --cpu-bind=none" in sbatch_script
+
+    def test_signal_parameter(self, dummy_slurm_request_with_artifact):
+        dummy_slurm_request, _ = dummy_slurm_request_with_artifact
+        dummy_slurm_request.executor.signal = "USR1@60"
+        sbatch_script = dummy_slurm_request.materialize()
+        assert "#SBATCH --signal=USR1@60" in sbatch_script
+
+    def test_container_workdir_override(self, dummy_slurm_request_with_artifact):
+        dummy_slurm_request, _ = dummy_slurm_request_with_artifact
+        dummy_slurm_request.executor.container_image = "test_image"
+        sbatch_script = dummy_slurm_request.materialize()
+
+        # Default workdir should be /nemo_run/code
+        assert "--container-workdir /nemo_run/code" in sbatch_script
+
+    def test_memory_measure_with_multiple_jobs(self, group_slurm_request_with_artifact):
+        group_req, _ = group_slurm_request_with_artifact
+        group_req.executor.memory_measure = True
+        group_req.executor.run_as_group = True
+
+        sbatch_script = group_req.materialize()
+
+        # Should have nvidia-smi monitoring
+        assert "nvidia-smi" in sbatch_script
+        assert "--overlap" in sbatch_script
diff --git a/test/core/packaging/test_git.py b/test/core/packaging/test_git.py
index d8e0b643..d750c83f 100644
--- a/test/core/packaging/test_git.py
+++ b/test/core/packaging/test_git.py
@@ -17,8 +17,10 @@
 import os
 import shlex
 import subprocess
+import tarfile
 import tempfile
 from pathlib import Path
+from types import SimpleNamespace
 from unittest.mock import patch
 
 import invoke
@@ -418,3 +420,54 @@ def test_package_without_include_submodules(packager, temp_repo):
             ),
         )
         assert len(os.listdir(os.path.join(job_dir, "extracted_output", "submodule"))) == 0
+
+
+def _make_uncompressed_tar_from_dir(src_dir: Path, tar_path: Path):
+    # Create an uncompressed tar at tar_path from the contents of src_dir
+    # with files at the root of the archive
+    with tarfile.open(tar_path, mode="w") as tf:
+        for entry in sorted(src_dir.iterdir()):
+            tf.add(entry, arcname=entry.name)
+
+
+@patch("nemo_run.core.packaging.git.Context", MockContext)
+def test_concatenate_tar_files_non_linux_integration(tmp_path, monkeypatch):
+    # Force non-Linux path (extract+repack)
+    monkeypatch.setattr(os, "uname", lambda: SimpleNamespace(sysname="Darwin"))
+
+    # Prepare two small tar fragments
+    dir_a = tmp_path / "a"
+    dir_b = tmp_path / "b"
+    dir_a.mkdir()
+    dir_b.mkdir()
+    (dir_a / "fileA.txt").write_text("A")
+    (dir_b / "fileB.txt").write_text("B")
+
+    tar_a = tmp_path / "a.tar"
+    tar_b = tmp_path / "b.tar"
+    _make_uncompressed_tar_from_dir(dir_a, tar_a)
+    _make_uncompressed_tar_from_dir(dir_b, tar_b)
+
+    out_tar = tmp_path / "out.tar"
+    packager = GitArchivePackager()
+    ctx = MockContext()
+    packager._concatenate_tar_files(ctx, str(out_tar), [str(tar_a), str(tar_b)])
+
+    # Inputs removed
+    assert not tar_a.exists() and not tar_b.exists()
+
+    # Output contains both files at root
+    assert out_tar.exists()
+    with tarfile.open(out_tar, mode="r") as tf:
+        names = sorted(m.name for m in tf.getmembers() if m.isfile())
+    assert names == ["./fileA.txt", "./fileB.txt"]
+
+
+@patch("nemo_run.core.packaging.git.Context", MockContext)
+def test_include_pattern_length_mismatch_raises(packager, temp_repo):
+    # Mismatch between include_pattern and include_pattern_relative_path should raise
+    packager.include_pattern = ["extra"]
+    packager.include_pattern_relative_path = ["/tmp", "/also/tmp"]
+    with tempfile.TemporaryDirectory() as job_dir:
+        with pytest.raises(ValueError, match="same length"):
+            packager.package(Path(temp_repo), job_dir, "mismatch")
diff --git a/test/core/packaging/test_hybrid.py b/test/core/packaging/test_hybrid.py
index e60096d3..824b6ef1 100644
--- a/test/core/packaging/test_hybrid.py
+++ b/test/core/packaging/test_hybrid.py
@@ -1,3 +1,18 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import filecmp
 import os
 import subprocess
diff --git a/test/core/tunnel/test_client.py b/test/core/tunnel/test_client.py
index b14dfeef..e2f5f50e 100644
--- a/test/core/tunnel/test_client.py
+++ b/test/core/tunnel/test_client.py
@@ -1,11 +1,10 @@
-# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
+# Copyright (c) 2024-2025, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
 #
-# http://www.apache.org/licenses/LICENSE-2.0
+#     http://www.apache.org/licenses/LICENSE-2.0
 #
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS,
@@ -162,6 +161,7 @@ def test_connect_with_identity(self, mock_config, mock_connection):
 
         mock_connection.assert_called_once_with(
             "test.host",
+            port=None,
             user="test_user",
             connect_kwargs={"key_filename": ["/path/to/key"]},
             forward_agent=False,
diff --git a/test/core/tunnel/test_rsync.py b/test/core/tunnel/test_rsync.py
index a22d8e49..ddc0ba41 100644
--- a/test/core/tunnel/test_rsync.py
+++ b/test/core/tunnel/test_rsync.py
@@ -1,3 +1,18 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 """Tests for the rsync module."""
 
 import unittest
diff --git a/test/dummy_script.py b/test/dummy_script.py
index fda35b1a..a9ad47df 100644
--- a/test/dummy_script.py
+++ b/test/dummy_script.py
@@ -1,3 +1,18 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import nemo_run as run
 
 with run.lazy_imports():
diff --git a/test/dummy_type.py b/test/dummy_type.py
index cc3695b0..9eff8284 100644
--- a/test/dummy_type.py
+++ b/test/dummy_type.py
@@ -1,3 +1,19 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
 class RealType:
     def __init__(self, value=42):
         self.value = value
diff --git a/test/run/ray/test_slurm_ray_request.py b/test/run/ray/test_slurm_ray_request.py
index 0e82b633..4129587b 100644
--- a/test/run/ray/test_slurm_ray_request.py
+++ b/test/run/ray/test_slurm_ray_request.py
@@ -698,3 +698,47 @@ def test_custom_ray_log_prefix(self):
         ]
         for pattern in expected_patterns:
             assert pattern in script, f"Log path missing expected prefix pattern: {pattern}"
+
+    @pytest.fixture
+    def ray_enroot_request_with_artifact(self) -> tuple[SlurmRayRequest, str]:
+        """Create a Ray enroot cluster request matching expected_ray_cluster_enroot.sub artifact."""
+        executor = SlurmExecutor(
+            account="test_account",
+            partition="gpu",
+            time="01:00:00",
+            nodes=2,
+            ntasks_per_node=8,
+            gpus_per_node=8,
+            container_image="nvcr.io/nvidia/pytorch:24.01-py3",
+            container_mounts=["/tmp/test_jobs/test-ray-cluster:/tmp/test_jobs/test-ray-cluster"],
+        )
+
+        tunnel_mock = Mock(spec=SSHTunnel)
+        tunnel_mock.job_dir = "/tmp/test_jobs"
+        tunnel_mock.key = "test-cluster"
+        executor.tunnel = tunnel_mock
+
+        request = SlurmRayRequest(
+            name="test-ray-cluster",
+            cluster_dir="/tmp/test_jobs/test-ray-cluster",
+            template_name="ray_enroot.sub.j2",
+            executor=executor,
+            command="python train.py",
+            workdir="/workspace",
+            launch_cmd=["sbatch", "--requeue", "--parsable", "--dependency=singleton"],
+        )
+
+        return request, os.path.join(ARTIFACTS_DIR, "expected_ray_cluster_enroot.sub")
+
+    def test_ray_enroot_template(
+        self, ray_enroot_request_with_artifact: tuple[SlurmRayRequest, str]
+    ):
+        """Test that ray_enroot.sub.j2 template matches expected artifact exactly."""
+        ray_request, artifact_path = ray_enroot_request_with_artifact
+        generated_script = ray_request.materialize()
+
+        # Read expected artifact for reference
+        with open(artifact_path, "r") as f:
+            expected_script = f.read()
+
+        assert generated_script.strip() == expected_script.strip()
diff --git a/test/run/test_experiment.py b/test/run/test_experiment.py
index 5de069dd..4f160237 100644
--- a/test/run/test_experiment.py
+++ b/test/run/test_experiment.py
@@ -1390,3 +1390,124 @@ def test_tasks_property_correct_deserialization(mock_serializer, mock_get_runner
                 # Verify serializer was called with the right arguments
                 serializer_instance.deserialize.assert_called_with("serialized_task_data")
                 assert len(tasks) == 1
+
+
+def test_experiment_threadpool_workers_param(temp_dir):
+    """Ensure custom threadpool_workers is correctly set and persisted to config."""
+    workers = 8
+    exp = Experiment("test-exp", threadpool_workers=workers)
+    assert exp._threadpool_workers == workers
+    cfg = exp.to_config()
+    # The Config object exposes the value as an attribute
+    assert getattr(cfg, "threadpool_workers") == workers
+
+
+@patch("nemo_run.run.experiment.get_runner")
+def test_experiment_prepare_passes_serialize_metadata(mock_get_runner, temp_dir):
+    """Verify that Experiment._prepare forwards serialize_metadata_for_scripts to Job.prepare."""
+    mock_get_runner.return_value = MagicMock()
+
+    with Experiment(
+        "test-exp",
+        serialize_metadata_for_scripts=False,
+        base_dir=temp_dir,
+    ) as exp:
+        task = run.Partial(dummy_function, x=1, y=2)
+        exp.add(task, name="test-job")
+
+        captured_flag = {}
+
+        def _mock_prepare(self, serialize_metadata_for_scripts=True):
+            # Record flag
+            captured_flag["flag"] = serialize_metadata_for_scripts
+            # Ensure _executable attr exists to satisfy later assertions
+            setattr(self, "_executable", MagicMock())
+
+        with patch.object(Job, "prepare", _mock_prepare):
+            # dryrun triggers _prepare internally
+            exp.dryrun(log=False, delete_exp_dir=True)
+
+        # Verify flag captured is False
+        assert captured_flag.get("flag") is False
+
+
+@patch("nemo_run.run.experiment.get_runner")
+def test_experiment_skip_status_at_exit(mock_get_runner, temp_dir):
+    """Ensure status() is not called when skip_status_at_exit=True."""
+    mock_get_runner.return_value = MagicMock()
+
+    with Experiment(
+        "test-exp",
+        skip_status_at_exit=True,
+        base_dir=temp_dir,
+    ) as exp:
+        # experiment not launched, but we still verify status isn't invoked
+        # Ensure experiment directory exists to avoid FileNotFound
+        os.makedirs(exp._exp_dir, exist_ok=True)
+
+        with patch.object(exp, "status") as mock_status:
+            pass  # Leaving the context triggers __exit__
+        mock_status.assert_not_called()
+
+
+def test_experiment_status_includes_handle(temp_dir):
+    """status(return_dict=True) should include handle field added in diff."""
+    with Experiment("test-exp", base_dir=temp_dir) as exp:
+        task = run.Partial(dummy_function, x=1, y=2)
+        job_id = exp.add(task, name="job-status")
+        # set job launched and handle
+        exp.jobs[0].launched = True
+        exp.jobs[0].handle = "handle-123"
+        exp.jobs[0].status = MagicMock(return_value=AppState.SUCCEEDED)
+
+        status_dict = exp.status(return_dict=True)
+        assert status_dict
+        assert status_dict[job_id]["handle"] == "handle-123"
+
+
+def test_initialize_tunnels_extract_from_executors(temp_dir):
+    """_initialize_tunnels(extract_from_executors=True) should add tunnels from slurm executors and call connect."""
+
+    # Fake Tunnel
+    class FakeTunnel:
+        def __init__(self):
+            self.key = "t1"
+            self.session = None
+            self.connected = False
+
+        def connect(self):
+            self.connected = True
+            self.session = "sess"
+
+        def to_config(self):
+            return run.Config(FakeTunnel)
+
+    # Fake SlurmExecutor
+    class FakeSlurmExecutor(LocalExecutor):
+        def __init__(self):
+            super().__init__()
+            self.tunnel = FakeTunnel()
+
+        # override clone to avoid deep copy issues
+        def clone(self):
+            return self
+
+        def to_config(self):
+            # Minimal config stub acceptable for tests
+            return run.Config(FakeSlurmExecutor)
+
+    with patch("nemo_run.run.experiment.SlurmExecutor", FakeSlurmExecutor):
+        with Experiment("test-exp", base_dir=temp_dir) as exp:
+            # Create a Job manually to avoid executor.clone
+            from nemo_run.run.job import Job
+
+            job = Job(
+                id="slurm-job",
+                task=run.Partial(dummy_function, x=1, y=2),
+                executor=FakeSlurmExecutor(),
+            )
+            exp.jobs = [job]  # replace jobs list directly
+
+            # Should pull tunnel and connect
+            exp._initialize_tunnels(extract_from_executors=True)
+            assert "t1" in exp.tunnels
diff --git a/test/run/test_job.py b/test/run/test_job.py
index 1d32af3d..896e4841 100644
--- a/test/run/test_job.py
+++ b/test/run/test_job.py
@@ -1,3 +1,18 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 from unittest.mock import MagicMock, patch
 
 import pytest
@@ -169,6 +184,7 @@ def test_job_launch_dryrun(simple_task, docker_executor, mock_runner):
     )
 
     with patch("nemo_run.run.job.launch") as mock_launch:
+        mock_launch.return_value = (None, "dryrun")
         job.prepare()
         job.launch(wait=False, runner=mock_runner, dryrun=True)
         mock_launch.assert_called_once()
@@ -537,6 +553,8 @@ def test_job_group_launch_dryrun(simple_task, docker_executor, mock_runner):
     job_group._executables = [(MagicMock(), docker_executor)]
 
     with patch("nemo_run.run.job.launch") as mock_launch:
+        mock_launch.return_value = (None, "dryrun")
+
         job_group.launch(wait=False, runner=mock_runner, dryrun=True)
         # Now we have just one executable, which gets launch called once
         assert mock_launch.call_count == 1
@@ -675,3 +693,62 @@ def test_job_group_cleanup_exception(simple_task, docker_executor):
             job_group.cleanup()
             assert mock_cleanup.call_count == 2
             mock_console.log.assert_called()
+
+
+def test_job_dryrun_info_stored_and_reused(simple_task, docker_executor, mock_runner):
+    """Ensure Job stores dryrun info and passes it on subsequent launch."""
+    job = Job(
+        id="test-job",
+        task=simple_task,
+        executor=docker_executor,
+    )
+
+    # Side effects: first dryrun returns (None, "plan"), second actual run returns handle+status
+    first_return = (None, "plan")
+    second_return = ("test-handle", MagicMock(state=AppState.SUCCEEDED))
+
+    with patch("nemo_run.run.job.launch", side_effect=[first_return, second_return]) as mock_launch:
+        # Prepare once
+        job.prepare()
+
+        # 1) Dry run
+        job.launch(wait=False, runner=mock_runner, dryrun=True)
+        assert job._dryrun_info == "plan"
+
+        # 2) Actual launch should receive dryrun_info kwarg equal to stored value
+        job.launch(wait=False, runner=mock_runner)
+        # Two calls total
+        assert mock_launch.call_count == 2
+        # Extract kwargs of second call
+        _, second_kwargs = mock_launch.call_args
+        assert second_kwargs["dryrun_info"] == "plan"
+
+
+# Additional tests for serialize_metadata_for_scripts flag
+
+
+def test_job_prepare_serialize_metadata_flag(simple_task, docker_executor):
+    """Job.prepare should forward serialize_metadata_for_scripts to package()."""
+    job = Job(id="j1", task=simple_task, executor=docker_executor)
+
+    with patch("nemo_run.run.job.package") as mock_package:
+        job.prepare(serialize_metadata_for_scripts=False)
+        mock_package.assert_called_once()
+        # get call kwargs to ensure flag propagated
+        _, kwargs = mock_package.call_args
+        assert kwargs["serialize_metadata_for_scripts"] is False
+
+
+def test_job_group_prepare_serialize_metadata_flag(simple_task, docker_executor):
+    """JobGroup.prepare should forward serialize_metadata_for_scripts to package() for each task."""
+    group = JobGroup(id="g1", tasks=[simple_task, simple_task], executors=docker_executor)
+    group._merge = False
+    group.executors = [docker_executor] * 2
+
+    with patch("nemo_run.run.job.package") as mock_package:
+        group.prepare(serialize_metadata_for_scripts=False)
+        # Called for each task (2)
+        assert mock_package.call_count == 2
+        # Verify at least one call had flag False
+        for _args, kwargs in mock_package.call_args_list:
+            assert kwargs["serialize_metadata_for_scripts"] is False
diff --git a/test/run/torchx_backend/schedulers/test_docker.py b/test/run/torchx_backend/schedulers/test_docker.py
index 3055d967..551d8a60 100644
--- a/test/run/torchx_backend/schedulers/test_docker.py
+++ b/test/run/torchx_backend/schedulers/test_docker.py
@@ -13,12 +13,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import json
+import os
 import tempfile
 from unittest import mock
 
 import pytest
 from torchx.schedulers.api import AppDryRunInfo
 from torchx.specs import AppDef, Role
+from torchx.specs.api import AppState
 
 from nemo_run.core.execution.docker import DockerExecutor
 from nemo_run.run.torchx_backend.schedulers.docker import (
@@ -121,6 +124,98 @@ def test_describe(docker_scheduler, docker_executor):
         response = docker_scheduler.describe("test_session___test_role___test_container_id")
         assert response is not None
         assert response.app_id == "test_session___test_role___test_container_id"
+        assert "UNKNOWN" in str(response.state)
+        assert len(response.roles) == 1
+
+
+def test_describe_running(docker_scheduler, docker_executor):
+    with (
+        mock.patch.object(DockerJobRequest, "load") as mock_load,
+        mock.patch.object(DockerContainer, "get_container") as mock_get_container,
+        mock.patch.object(PersistentDockerScheduler, "_get_app_state") as mock_get_app_state,
+    ):
+        container = DockerContainer(
+            name="test_role",
+            command=["test"],
+            executor=docker_executor,
+            extra_env={},
+        )
+        mock_load.return_value = DockerJobRequest(
+            id="test_session___test_role___test_container_id",
+            executor=docker_executor,
+            containers=[container],
+        )
+        mock_get_container.return_value = container
+        mock_get_app_state.return_value = AppState.RUNNING
+
+        response = docker_scheduler.describe("test_session___test_role___test_container_id")
+        assert response is not None
+        assert response.app_id == "test_session___test_role___test_container_id"
+        assert "RUNNING" in str(response.state)
+        assert len(response.roles) == 1
+
+
+def test_describe_failed(docker_scheduler, docker_executor):
+    with (
+        mock.patch.object(DockerJobRequest, "load") as mock_load,
+        mock.patch.object(DockerContainer, "get_container") as mock_get_container,
+        mock.patch.object(PersistentDockerScheduler, "_get_app_state") as mock_get_app_state,
+    ):
+        container = DockerContainer(
+            name="test_role",
+            command=["test"],
+            executor=docker_executor,
+            extra_env={},
+        )
+        req = DockerJobRequest(
+            id="test_session___test_role___test_container_id",
+            executor=docker_executor,
+            containers=[container],
+        )
+        mock_load.return_value = req
+        mock_get_container.return_value = container
+        mock_get_app_state.return_value = None
+        status_file = os.path.join(req.executor.job_dir, f"status_{req.containers[0].name}.out")
+
+        with open(status_file, "w") as f:
+            f.write(json.dumps({"exit_code": 1}))
+
+        response = docker_scheduler.describe(req.id)
+        assert response is not None
+        assert response.app_id == req.id
+        assert "FAILED" in str(response.state)
+        assert len(response.roles) == 1
+
+
+@pytest.mark.xfail
+def test_describe_failure_not_detected(docker_scheduler, docker_executor):
+    with (
+        mock.patch.object(DockerJobRequest, "load") as mock_load,
+        mock.patch.object(DockerContainer, "get_container") as mock_get_container,
+        mock.patch.object(PersistentDockerScheduler, "_get_app_state") as mock_get_app_state,
+    ):
+        container = DockerContainer(
+            name="test_role",
+            command=["test"],
+            executor=docker_executor,
+            extra_env={},
+        )
+        req = DockerJobRequest(
+            id="test_session___test_role___test_container_id",
+            executor=docker_executor,
+            containers=[container],
+        )
+        mock_load.return_value = req
+        mock_get_container.return_value = container
+        mock_get_app_state.return_value = None
+        status_file = os.path.join(req.executor.job_dir, f"status_{req.containers[0].name}.out")
+
+        with open(status_file, "w") as f:
+            f.write(json.dumps({"exit_code": 1}))
+
+        response = docker_scheduler.describe(req.id)
+        assert response is not None
+        assert response.app_id == req.id
         assert "SUCCEEDED" in str(response.state)
         assert len(response.roles) == 1
 
diff --git a/test/run/torchx_backend/schedulers/test_skypilot_jobs.py b/test/run/torchx_backend/schedulers/test_skypilot_jobs.py
new file mode 100644
index 00000000..46c6d75e
--- /dev/null
+++ b/test/run/torchx_backend/schedulers/test_skypilot_jobs.py
@@ -0,0 +1,244 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import json
+import os
+import tempfile
+from unittest import mock
+
+import pytest
+from torchx.schedulers.api import AppDryRunInfo
+from torchx.specs import AppDef, Role
+
+from nemo_run.core.execution.skypilot_jobs import SkypilotJobsExecutor
+from nemo_run.run.torchx_backend.schedulers.skypilot_jobs import (
+    SkypilotJobsScheduler,
+    _get_job_dirs,
+    _save_job_dir,
+    create_scheduler,
+)
+
+
+@pytest.fixture
+def mock_app_def():
+    return AppDef(name="test_app", roles=[Role(name="test_role", image="")])
+
+
+@pytest.fixture
+def skypilot_jobs_executor():
+    return SkypilotJobsExecutor(
+        job_dir=tempfile.mkdtemp(),
+        gpus="V100",
+        gpus_per_node=1,
+        cloud="aws",
+    )
+
+
+@pytest.fixture
+def skypilot_jobs_scheduler():
+    return create_scheduler(session_name="test_session")
+
+
+def test_create_scheduler():
+    scheduler = create_scheduler(session_name="test_session")
+    assert isinstance(scheduler, SkypilotJobsScheduler)
+    assert scheduler.session_name == "test_session"
+
+
+def test_skypilot_jobs_scheduler_methods(skypilot_jobs_scheduler):
+    assert hasattr(skypilot_jobs_scheduler, "_submit_dryrun")
+    assert hasattr(skypilot_jobs_scheduler, "schedule")
+    assert hasattr(skypilot_jobs_scheduler, "describe")
+    assert hasattr(skypilot_jobs_scheduler, "_validate")
+
+
+def test_submit_dryrun(skypilot_jobs_scheduler, mock_app_def, skypilot_jobs_executor):
+    with mock.patch.object(SkypilotJobsExecutor, "package") as mock_package:
+        mock_package.return_value = None
+
+        dryrun_info = skypilot_jobs_scheduler._submit_dryrun(mock_app_def, skypilot_jobs_executor)
+        assert isinstance(dryrun_info, AppDryRunInfo)
+        assert dryrun_info.request is not None
+
+
+def test_schedule(skypilot_jobs_scheduler, mock_app_def, skypilot_jobs_executor):
+    class MockHandle:
+        def get_cluster_name(self):
+            return "test_cluster_name"
+
+    with (
+        mock.patch.object(SkypilotJobsExecutor, "package") as mock_package,
+        mock.patch.object(SkypilotJobsExecutor, "launch") as mock_launch,
+        mock.patch.object(SkypilotJobsExecutor, "status") as mock_status,
+    ):
+        mock_package.return_value = None
+        mock_launch.return_value = (123, MockHandle())
+        mock_status.return_value = None
+
+        skypilot_jobs_executor.job_name = "test_job"
+        skypilot_jobs_executor.experiment_id = "test_session"
+
+        dryrun_info = skypilot_jobs_scheduler._submit_dryrun(mock_app_def, skypilot_jobs_executor)
+        app_id = skypilot_jobs_scheduler.schedule(dryrun_info)
+
+        # Note: SkypilotJobsExecutor uses 3-component app_id format (no experiment_id prefix)
+        assert app_id == "test_cluster_name___test_role___123"
+        mock_package.assert_called_once()
+        mock_launch.assert_called_once()
+
+
+def test_cancel_existing(skypilot_jobs_scheduler):
+    with mock.patch.object(SkypilotJobsExecutor, "cancel") as mock_cancel:
+        skypilot_jobs_scheduler._cancel_existing("test_cluster_name___test_role___123")
+        mock_cancel.assert_called_once_with(app_id="test_cluster_name___test_role___123")
+
+
+def test_describe_no_status(skypilot_jobs_scheduler):
+    with (
+        mock.patch.object(SkypilotJobsExecutor, "status") as mock_status,
+        mock.patch(
+            "nemo_run.run.torchx_backend.schedulers.skypilot_jobs._get_job_dirs"
+        ) as mock_get_job_dirs,
+    ):
+        mock_status.return_value = None
+        mock_get_job_dirs.return_value = {}
+
+        result = skypilot_jobs_scheduler.describe("test_cluster___test_role___123")
+        assert result is None
+
+
+def test_describe_with_status(skypilot_jobs_scheduler):
+    from sky.jobs.state import ManagedJobStatus
+
+    task_details = {"status": ManagedJobStatus.RUNNING, "job_id": 123}
+
+    with (
+        mock.patch.object(SkypilotJobsExecutor, "status") as mock_status,
+        mock.patch(
+            "nemo_run.run.torchx_backend.schedulers.skypilot_jobs._save_job_dir"
+        ) as mock_save,
+    ):
+        mock_status.return_value = task_details
+
+        result = skypilot_jobs_scheduler.describe("test_cluster___test_role___123")
+
+        assert result is not None
+        assert result.app_id == "test_cluster___test_role___123"
+        assert len(result.roles) == 1
+        assert result.roles[0].name == "test_role"
+        mock_save.assert_called_once()
+
+
+def test_describe_with_past_jobs(skypilot_jobs_scheduler):
+    past_apps = {"test_cluster___test_role___123": {"job_status": "SUCCEEDED"}}
+
+    with (
+        mock.patch.object(SkypilotJobsExecutor, "status") as mock_status,
+        mock.patch(
+            "nemo_run.run.torchx_backend.schedulers.skypilot_jobs._get_job_dirs"
+        ) as mock_get_job_dirs,
+    ):
+        mock_status.return_value = None
+        mock_get_job_dirs.return_value = past_apps
+
+        result = skypilot_jobs_scheduler.describe("test_cluster___test_role___123")
+
+        assert result is not None
+        assert result.app_id == "test_cluster___test_role___123"
+        # The state should be mapped from SUCCEEDED status
+        from torchx.specs import AppState
+
+        assert result.state == AppState.SUCCEEDED
+
+
+def test_save_job_dir_new_file():
+    """Test _save_job_dir when the job file doesn't exist."""
+    with tempfile.NamedTemporaryFile(mode="w+", delete=False, suffix=".json") as f:
+        temp_path = f.name
+    os.unlink(temp_path)  # Remove file to test creation
+
+    try:
+        with mock.patch(
+            "nemo_run.run.torchx_backend.schedulers.skypilot_jobs.SKYPILOT_JOB_DIRS", temp_path
+        ):
+            _save_job_dir("test_app_id", "RUNNING")
+
+            # Verify the file was created and contains expected data
+            assert os.path.exists(temp_path)
+            with open(temp_path, "r") as f:
+                data = json.load(f)
+
+            assert "test_app_id" in data
+            assert data["test_app_id"]["job_status"] == "RUNNING"
+    finally:
+        if os.path.exists(temp_path):
+            os.unlink(temp_path)
+
+
+def test_save_job_dir_existing_file():
+    """Test _save_job_dir when the job file already exists with data."""
+    with tempfile.NamedTemporaryFile(mode="w+", delete=False, suffix=".json") as f:
+        temp_path = f.name
+        json.dump({"existing_app": {"job_status": "SUCCEEDED"}}, f)
+
+    try:
+        with mock.patch(
+            "nemo_run.run.torchx_backend.schedulers.skypilot_jobs.SKYPILOT_JOB_DIRS", temp_path
+        ):
+            _save_job_dir("new_app_id", "PENDING")
+
+            # Verify both old and new data exist
+            with open(temp_path, "r") as f:
+                data = json.load(f)
+
+            assert "existing_app" in data
+            assert data["existing_app"]["job_status"] == "SUCCEEDED"
+            assert "new_app_id" in data
+            assert data["new_app_id"]["job_status"] == "PENDING"
+    finally:
+        if os.path.exists(temp_path):
+            os.unlink(temp_path)
+
+
+def test_get_job_dirs_existing_file():
+    """Test _get_job_dirs with an existing file containing data."""
+    test_data = {
+        "app1": {"job_status": "RUNNING"},
+        "app2": {"job_status": "SUCCEEDED"},
+    }
+    with tempfile.NamedTemporaryFile(mode="w+", delete=False, suffix=".json") as f:
+        temp_path = f.name
+        json.dump(test_data, f)
+
+    try:
+        with mock.patch(
+            "nemo_run.run.torchx_backend.schedulers.skypilot_jobs.SKYPILOT_JOB_DIRS", temp_path
+        ):
+            result = _get_job_dirs()
+            assert result == test_data
+    finally:
+        if os.path.exists(temp_path):
+            os.unlink(temp_path)
+
+
+def test_get_job_dirs_file_not_found():
+    """Test _get_job_dirs when the file doesn't exist."""
+    non_existent_path = "/tmp/definitely_does_not_exist_12345.json"
+
+    with mock.patch(
+        "nemo_run.run.torchx_backend.schedulers.skypilot_jobs.SKYPILOT_JOB_DIRS", non_existent_path
+    ):
+        result = _get_job_dirs()
+        assert result == {}
diff --git a/test/run/torchx_backend/schedulers/test_slurm.py b/test/run/torchx_backend/schedulers/test_slurm.py
index 61b76d44..96b0e239 100644
--- a/test/run/torchx_backend/schedulers/test_slurm.py
+++ b/test/run/torchx_backend/schedulers/test_slurm.py
@@ -366,3 +366,40 @@ def test_schedule_with_dependencies(slurm_scheduler, slurm_executor):
         assert result == "12345"
         # Verify the run was called with the expected arguments
         mock_tunnel.run.assert_called_once()
+
+
+def test_ray_template_env_var(slurm_scheduler, slurm_executor):
+    """Test that NEMO_RUN_SLURM_RAY_TEMPLATE environment variable selects the correct template."""
+    from nemo_run.config import USE_WITH_RAY_CLUSTER_KEY
+    from nemo_run.run.ray.slurm import SlurmRayRequest
+
+    # Create a Ray-enabled app
+    app_def = AppDef(
+        name="test_ray_app",
+        roles=[Role(name="test_role", image="", entrypoint="python", args=["script.py"])],
+        metadata={USE_WITH_RAY_CLUSTER_KEY: True},
+    )
+
+    with (
+        mock.patch.object(SlurmTunnelScheduler, "_initialize_tunnel"),
+        mock.patch.object(SlurmExecutor, "package"),
+        mock.patch("builtins.open", mock.mock_open()),
+    ):
+        slurm_scheduler.tunnel = mock.MagicMock()
+
+        # Test default template name
+        with mock.patch("nemo_run.core.execution.utils.fill_template") as mock_fill:
+            mock_fill.return_value = "#!/bin/bash\n# Mock script"
+            dryrun_info = slurm_scheduler._submit_dryrun(app_def, slurm_executor)
+            assert isinstance(dryrun_info.request, SlurmRayRequest)
+            assert dryrun_info.request.template_name == "ray.sub.j2"
+
+        # Test custom template name via environment variable
+        with (
+            mock.patch.dict(os.environ, {"NEMO_RUN_SLURM_RAY_TEMPLATE": "ray_enroot.sub.j2"}),
+            mock.patch("nemo_run.core.execution.utils.fill_template") as mock_fill,
+        ):
+            mock_fill.return_value = "#!/bin/bash\n# Mock script"
+            dryrun_info = slurm_scheduler._submit_dryrun(app_def, slurm_executor)
+            assert isinstance(dryrun_info.request, SlurmRayRequest)
+            assert dryrun_info.request.template_name == "ray_enroot.sub.j2"
diff --git a/test/run/torchx_backend/test_launcher.py b/test/run/torchx_backend/test_launcher.py
index 07f7d79a..72a5ce0b 100644
--- a/test/run/torchx_backend/test_launcher.py
+++ b/test/run/torchx_backend/test_launcher.py
@@ -62,7 +62,7 @@ def test_launch_dryrun(mock_runner, mock_executor, mock_executable):
     mock_runner.dryrun.assert_called_once_with(
         mock_executable, "test_executor", cfg=mock_executor, parent_run_id=None
     )
-    assert result == (None, None)
+    assert result == (None, dryrun_info)
 
 
 def test_launch_non_dryrun(mock_runner, mock_executor, mock_executable):
@@ -78,7 +78,11 @@ def test_launch_non_dryrun(mock_runner, mock_executor, mock_executable):
     )
 
     mock_runner.run.assert_called_once_with(
-        mock_executable, "test_executor", cfg=mock_executor, parent_run_id=None
+        mock_executable,
+        "test_executor",
+        cfg=mock_executor,
+        parent_run_id=None,
+        dryrun_info=None,
     )
     assert result[0] == mock_app_handle
 
diff --git a/uv.lock b/uv.lock
index ba3cd379..06869599 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 1
+revision = 3
 requires-python = ">=3.10"
 resolution-markers = [
     "python_full_version >= '3.13' and sys_platform == 'darwin' and extra != 'extra-8-nemo-run-skypilot' and extra == 'extra-8-nemo-run-skypilot-all' and extra != 'group-8-nemo-run-docs'",
@@ -19,9 +19,9 @@ resolution-markers = [
     "extra != 'extra-8-nemo-run-skypilot' and extra != 'extra-8-nemo-run-skypilot-all' and extra != 'group-8-nemo-run-docs'",
 ]
 conflicts = [[
-    { package = "nemo-run", group = "docs" },
     { package = "nemo-run", extra = "skypilot" },
     { package = "nemo-run", extra = "skypilot-all" },
+    { package = "nemo-run", group = "docs" },
 ]]
 
 [options]
@@ -31,9 +31,9 @@ prerelease-mode = "allow"
 name = "absl-py"
 version = "2.1.0"
 source = { registry = "https://pypi.org/simple" }
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+sdist = { url = "https://files.pythonhosted.org/packages/7a/8f/fc001b92ecc467cc32ab38398bd0bfb45df46e7523bf33c2ad22a505f06e/absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff", size = 118055, upload-time = "2024-01-16T22:14:26.154Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/a2/ad/e0d3c824784ff121c03cc031f944bc7e139a8f1870ffd2845cc2dd76f6c4/absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308", size = 133706, upload-time = "2024-01-16T22:14:24.055Z" },
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 [[package]]
@@ -43,9 +43,9 @@ source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "pygments" },
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+sdist = { url = "https://files.pythonhosted.org/packages/bc/c1/bbac6a50d02774f91572938964c582fff4270eee73ab822a4aeea4d8b11b/accessible_pygments-0.0.5.tar.gz", hash = "sha256:40918d3e6a2b619ad424cb91e556bd3bd8865443d9f22f1dcdf79e33c8046872", size = 1377899, upload-time = "2024-05-10T11:23:10.216Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/8d/3f/95338030883d8c8b91223b4e21744b04d11b161a3ef117295d8241f50ab4/accessible_pygments-0.0.5-py3-none-any.whl", hash = "sha256:88ae3211e68a1d0b011504b2ffc1691feafce124b845bd072ab6f9f66f34d4b7", size = 1395903, upload-time = "2024-05-10T11:23:08.421Z" },
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 [[package]]
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     { name = "requests" },
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+wheels = [
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+]
+
+[[package]]
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+version = "24.1.0"
+source = { registry = "https://pypi.org/simple" }
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     { name = "packaging" },
     { name = "rich" },
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     { name = "jinja2", specifier = ">=3.1.4" },
+    { name = "kubernetes", marker = "extra == 'ray'" },
+    { name = "leptonai", specifier = ">=0.25.0" },
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     { name = "omegaconf", specifier = ">=2.3.0" },
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-    { name = "skypilot", extras = ["kubernetes"], marker = "extra == 'skypilot'", specifier = ">=0.8.0" },
+    { name = "skypilot", extras = ["all"], marker = "extra == 'skypilot-all'", specifier = ">=0.10.0" },
+    { name = "skypilot", extras = ["kubernetes"], marker = "extra == 'skypilot'", specifier = ">=0.10.0" },
+    { name = "toml" },
     { name = "torchx", specifier = ">=0.7.0" },
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+    { name = "sphinx-copybutton", specifier = ">=0.5.2" },
+    { name = "sphinx-new-tab-link", specifier = ">=0.8.0" },
+    { name = "sphinxcontrib-mermaid" },
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