NVIDIA Corporation
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- 2788 San Tomas Expressway, Santa Clara, CA, 95051
- https://nvidia.com
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- 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 - 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 - OSMO Public
The developer-first platform for scaling complex Physical AI workloads across heterogeneous compute—unifying training GPUs, simulation clusters, and edge devices in a simple YAML
NVIDIA/OSMO’s past year of commit activity - stdexec Public
`std::execution`, the proposed C++ framework for asynchronous and parallel programming.
NVIDIA/stdexec’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 - nvshmem Public
NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process communication and coordination overheads by allowing programmers to perform one-sided communication from within CUDA kernels and on CUDA streams.
NVIDIA/nvshmem’s past year of commit activity
