NVIDIA Corporation
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- https://nvidia.com
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- bionemo-framework Public
BioNeMo Framework: For building and adapting AI models in drug discovery at scale
NVIDIA/bionemo-framework’s past year of commit activity - NeMo-Agent-Toolkit Public
The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents.
NVIDIA/NeMo-Agent-Toolkit’s past year of commit activity - TensorRT-LLM Public
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in performant way.
NVIDIA/TensorRT-LLM’s past year of commit activity - NeMo-Guardrails Public
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
NVIDIA/NeMo-Guardrails’s past year of commit activity - TensorRT-Model-Optimizer Public
A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed.
NVIDIA/TensorRT-Model-Optimizer’s past year of commit activity - TransformerEngine Public
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.
NVIDIA/TransformerEngine’s past year of commit activity
