fix(helm): temporarily disable nvidia runtimeClassName

[dittops]

Summary

• Temporarily disables the runtimeClassName: nvidia setting in the single-node deployment template
• This is a temporary patch to resolve runtime compatibility issues

Changes

• Commented out the conditional block that sets runtimeClassName: nvidia for CUDA nodes in services/budcluster/budcluster/charts/bud_runtime_container/templates/single-node.yaml

Why This Is Needed

This patch addresses immediate runtime compatibility issues by disabling the nvidia runtime class specification. This should be considered a temporary workaround.

Test Plan

• Verify CUDA node deployments work without the runtime class specification
• Test model deployments on GPU nodes
• Monitor for any runtime-related issues

Follow-up

This is a temporary patch and should be reverted once the underlying compatibility issue is resolved. A more permanent solution should be investigated.

🤖 Generated with Claude Code

[gemini-code-assist]

Summary of Changes

Hello @dittops, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request implements a temporary fix to resolve immediate runtime compatibility issues by commenting out the runtimeClassName: nvidia specification within the Helm chart for single-node deployments. This allows for continued operation while a more permanent solution is developed and investigated.

Highlights

• Temporary NVIDIA Runtime Disablement: The runtimeClassName: nvidia setting has been temporarily disabled in the single-node deployment template to address immediate runtime compatibility issues.
• Workaround for Compatibility: This change serves as a temporary workaround and is intended to be reverted once the underlying compatibility problem is resolved, with a permanent solution to be investigated.

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[gemini-code-assist]

Code Review

This pull request temporarily disables the runtimeClassName: nvidia setting by commenting it out in the Helm template. While this is a quick fix, I've suggested a more maintainable approach using a feature flag in values.yaml. This aligns better with Helm best practices for managing configurable options and avoids leaving commented-out code in the codebase.

[gemini-code-assist]

While commenting out this block achieves the goal, a more idiomatic and maintainable approach for Helm charts is to use a feature flag in values.yaml. This makes the configuration explicit and allows toggling the behavior without changing the template code. This is preferable to leaving commented-out code in the template.

You could add a new value like nvidiaRuntimeClassEnabled to your values.yaml (setting it to false to keep it disabled) and use it here. This would make re-enabling it in the future cleaner.

      {{- if and (eq .node.type "cuda") .Values.nvidiaRuntimeClassEnabled }}
      runtimeClassName: nvidia
      {{- end }}