NVIDIA Corporation
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- 2788 San Tomas Expressway, Santa Clara, CA, 95051
- https://nvidia.com
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- 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-curator Public
PhysicsNeMo-Curator is a Python-based library designed to streamline and accelerate the process of data curation for engineering datasets.
NVIDIA/physicsnemo-curator’s past year of commit activity - nvalchemi-toolkit Public
ALCHEMI Toolkit is a developer toolkit for accelerating training and inference for AI in chemistry and material science.
NVIDIA/nvalchemi-toolkit’s past year of commit activity - Model-Optimizer Public
A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
NVIDIA/Model-Optimizer’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 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
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