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 supports 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 a 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 and 4-bit floating point (FP8 and FP4) 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 - physicsnemo Public
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
NVIDIA/physicsnemo’s past year of commit activity
