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@NVIDIA

NVIDIA Corporation

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  1. cosmos cosmos Public

    NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.

    12.3k 954

  2. NemoClaw NemoClaw Public

    Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference

    TypeScript 23k 3.2k

  3. TensorRT-LLM 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. Tensor…

    Python 15k 2.9k

  4. cutlass cutlass Public

    CUDA Templates and Python DSLs for High-Performance Linear Algebra

    C++ 10.7k 2.2k

  5. warp warp Public

    A Python framework for GPU-accelerated simulation, robotics, and machine learning.

    Python 7.3k 685

  6. open-gpu-kernel-modules open-gpu-kernel-modules Public

    NVIDIA Linux open GPU kernel module source

    C 17.6k 2k

Repositories

Showing 10 of 836 repositories
  • aicr Public

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

    NVIDIA/aicr's past year of commit activity
    Go 464 Apache-2.0 134 180 30 Updated Nov 8, 2026
  • makani Public

    Massively parallel training of machine-learning based weather and climate models

    NVIDIA/makani's past year of commit activity
    Python 405 Apache-2.0 88 3 1 Updated Nov 8, 2026
  • k8s-launch-kit Public

    K8s Launch Kit (l8k) is a CLI tool for deploying and managing NVIDIA cloud-native solutions on Kubernetes. The tool helps provide flexible deployment workflows for optimal network performance with SR-IOV, RDMA, and other networking technologies.

    NVIDIA/k8s-launch-kit's past year of commit activity
    Go 18 Apache-2.0 11 2 4 Updated Nov 8, 2026
  • Model-Optimizer Public

    A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, 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 5,556 Apache-2.0 803 99 362 Updated Nov 8, 2026
  • Megatron-LM Public

    Ongoing research training transformer models at scale

    NVIDIA/Megatron-LM's past year of commit activity
    Python 18,350 4,715 491 (3 issues need help) 1,455 Updated Nov 8, 2026
  • torch-harmonics Public

    Differentiable signal processing on the sphere for PyTorch

    NVIDIA/torch-harmonics's past year of commit activity
    Jupyter Notebook 727 BSD-3-Clause 79 12 3 Updated Nov 8, 2026
  • JAX-Toolbox Public

    JAX-Toolbox

    NVIDIA/JAX-Toolbox's past year of commit activity
    Python 437 Apache-2.0 83 3 48 Updated Nov 8, 2026
  • warp Public

    A Python framework for GPU-accelerated simulation, robotics, and machine learning.

    NVIDIA/warp's past year of commit activity
    Python 7,283 Apache-2.0 685 368 79 Updated Nov 8, 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 15,038 2,918 716 1,276 Updated Nov 8, 2026
  • NemoClaw Public

    Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference

    NVIDIA/NemoClaw's past year of commit activity
    TypeScript 22,981 Apache-2.0 3,204 673 (2 issues need help) 165 Updated Nov 8, 2026