NVIDIA Corporation
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- 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 - cuda-quantum Public
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
NVIDIA/cuda-quantum’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 - context-aware-rag Public
Context-Aware RAG library for Knowledge Graph ingestion and retrieval functions.
NVIDIA/context-aware-rag’s past year of commit activity