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@NVIDIA

NVIDIA Corporation

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  1. cuopt cuopt Public

    GPU accelerated decision optimization

    Cuda 807 156

  2. cuopt-examples cuopt-examples Public

    NVIDIA cuOpt examples for decision optimization

    Jupyter Notebook 432 73

  3. open-gpu-kernel-modules open-gpu-kernel-modules Public

    NVIDIA Linux open GPU kernel module source

    C 16.9k 1.7k

  4. aistore aistore Public

    AIStore: scalable storage for AI applications

    Go 1.8k 244

  5. nvidia-container-toolkit nvidia-container-toolkit Public

    Build and run containers leveraging NVIDIA GPUs

    Go 4.2k 506

  6. GenerativeAIExamples GenerativeAIExamples Public

    Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

    Jupyter Notebook 3.9k 1k

Repositories

Showing 10 of 710 repositories
  • 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
    C++ 979 Apache-2.0 356 438 (16 issues need help) 115 Updated Apr 9, 2026
  • NemoClaw Public

    Run OpenClaw more securely inside NVIDIA OpenShell with managed inference

    NVIDIA/NemoClaw’s past year of commit activity
    JavaScript 18,783 Apache-2.0 2,263 259 230 Updated Apr 9, 2026
  • aicr Public

    Tooling for optimized, validated, and reproducible GPU-accelerated AI runtime in Kubernetes

    NVIDIA/aicr’s past year of commit activity
    Go 259 Apache-2.0 27 20 9 Updated Apr 9, 2026
  • 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
    TypeScript 132 Apache-2.0 30 59 21 Updated Apr 9, 2026
  • aistore Public

    AIStore: scalable storage for AI applications

    NVIDIA/aistore’s past year of commit activity
    Go 1,810 MIT 244 1 0 Updated Apr 9, 2026
  • 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
    Python 13,320 2,265 572 680 Updated Apr 9, 2026
  • Megatron-LM Public

    Ongoing research training transformer models at scale

    NVIDIA/Megatron-LM’s past year of commit activity
    Python 15,970 3,796 344 (1 issue needs help) 362 Updated Apr 9, 2026
  • 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
    Python 2,408 Apache-2.0 337 61 124 Updated Apr 9, 2026
  • dsx-github-actions Public

    Github Action infrastructure for DSX

    NVIDIA/dsx-github-actions’s past year of commit activity
    Dockerfile 4 1 1 0 Updated Apr 9, 2026
  • 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
    Python 17 Apache-2.0 8 6 6 Updated Apr 9, 2026

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