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@NVIDIA

NVIDIA Corporation

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  1. DeepLearningExamples DeepLearningExamples Public

    State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

    Jupyter Notebook 14k 3.3k

  2. tensorflow tensorflow Public

    An Open Source Machine Learning Framework for Everyone

    C++ 1.1k 165

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

    NVIDIA Linux open GPU kernel module source

    C 15.6k 1.4k

  4. aistore aistore Public

    AIStore: scalable storage for AI applications

    Go 1.4k 193

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

    Build and run containers leveraging NVIDIA GPUs

    Go 3k 319

  6. GenerativeAIExamples GenerativeAIExamples Public

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

    Python 2.9k 682

Repositories

Showing 10 of 545 repositories
  • nv-ingest Public

    NVIDIA Ingest is an early access set of microservices for parsing hundreds of thousands of complex, messy unstructured PDFs and other enterprise documents into metadata and text to embed into retrieval systems.

    NVIDIA/nv-ingest’s past year of commit activity
    Python 2,592 Apache-2.0 222 72 (1 issue needs help) 10 Updated Mar 13, 2025
  • holodeck Public

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

    NVIDIA/holodeck’s past year of commit activity
    Go 12 Apache-2.0 7 3 3 Updated Mar 13, 2025
  • nvidia-container-toolkit Public

    Build and run containers leveraging NVIDIA GPUs

    NVIDIA/nvidia-container-toolkit’s past year of commit activity
    Go 2,966 Apache-2.0 319 352 28 Updated Mar 13, 2025
  • k8s-operator-libs Public

    A collection of useful Go libraries to ease the development of NVIDIA Operators for GPU/NIC management.

    NVIDIA/k8s-operator-libs’s past year of commit activity
    Go 23 Apache-2.0 18 1 3 Updated Mar 13, 2025
  • TensorRT-LLM Public

    TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

    NVIDIA/TensorRT-LLM’s past year of commit activity
    C++ 9,687 Apache-2.0 1,150 428 (1 issue needs help) 79 Updated Mar 13, 2025
  • dcgm-exporter Public

    NVIDIA GPU metrics exporter for Prometheus leveraging DCGM

    NVIDIA/dcgm-exporter’s past year of commit activity
    Go 1,084 Apache-2.0 180 90 10 Updated Mar 13, 2025
  • topograph Public

    A toolkit for discovering cluster network topology.

    NVIDIA/topograph’s past year of commit activity
    Go 37 Apache-2.0 2 1 5 Updated Mar 13, 2025
  • aistore Public

    AIStore: scalable storage for AI applications

    NVIDIA/aistore’s past year of commit activity
    Go 1,419 MIT 193 1 2 Updated Mar 12, 2025
  • ais-k8s Public

    Kubernetes Operator, ansible playbooks, and production scripts for large-scale AIStore deployments on Kubernetes.

    NVIDIA/ais-k8s’s past year of commit activity
    Go 89 MIT 23 0 1 Updated Mar 13, 2025
  • k8s-dra-driver-gpu Public

    Dynamic Resource Allocation (DRA) for NVIDIA GPUs in Kubernetes

    NVIDIA/k8s-dra-driver-gpu’s past year of commit activity
    Go 327 Apache-2.0 69 21 24 Updated Mar 13, 2025