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@NVIDIA

NVIDIA Corporation

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  1. cuopt cuopt Public

    GPU accelerated decision optimization

    Cuda 726 129

  2. cuopt-examples cuopt-examples Public

    NVIDIA cuOpt examples for decision optimization

    Jupyter Notebook 414 66

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

    NVIDIA Linux open GPU kernel module source

    C 16.7k 1.6k

  4. aistore aistore Public

    AIStore: scalable storage for AI applications

    Go 1.8k 237

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

    Build and run containers leveraging NVIDIA GPUs

    Go 4.1k 483

  6. GenerativeAIExamples GenerativeAIExamples Public

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

    Jupyter Notebook 3.8k 987

Repositories

Showing 10 of 679 repositories
  • cccl Public

    CUDA Core Compute Libraries

    NVIDIA/cccl’s past year of commit activity
  • NV-Kernels Public

    Ubuntu kernels which are optimized for NVIDIA server systems

    NVIDIA/NV-Kernels’s past year of commit activity
    91 56 0 8 Updated Mar 2, 2026
  • KAI-Scheduler Public

    KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale

    NVIDIA/KAI-Scheduler’s past year of commit activity
    Go 1,153 Apache-2.0 158 26 (1 issue needs help) 72 Updated Mar 2, 2026
  • Megatron-LM Public

    Ongoing research training transformer models at scale

    NVIDIA/Megatron-LM’s past year of commit activity
    Python 15,475 3,644 301 (1 issue needs help) 320 Updated Mar 2, 2026
  • holodeck Public

    Holodeck is a project to create test environments optimised for GPU projects.

    NVIDIA/holodeck’s past year of commit activity
    Go 26 Apache-2.0 13 2 7 Updated Mar 2, 2026
  • NVSentinel Public

    NVSentinel is a cross-platform fault remediation service designed to rapidly remediate runtime node-level issues in GPU-accelerated computing environments

    NVIDIA/NVSentinel’s past year of commit activity
    Go 192 Apache-2.0 50 46 20 Updated Mar 2, 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 2,082 Apache-2.0 284 68 95 Updated Mar 2, 2026
  • cuopt Public

    GPU accelerated decision optimization

    NVIDIA/cuopt’s past year of commit activity
    Cuda 726 Apache-2.0 129 84 (4 issues need help) 18 Updated Mar 2, 2026
  • nvidia-container-toolkit Public

    Build and run containers leveraging NVIDIA GPUs

    NVIDIA/nvidia-container-toolkit’s past year of commit activity
    Go 4,105 Apache-2.0 483 87 22 Updated Mar 2, 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 12,983 2,135 537 551 Updated Mar 2, 2026