NVIDIA Corporationの公開GitHubフットプリント

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

Ongoing research training transformer models at scale

NVIDIA Linux open GPU kernel module source

Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.

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

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™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

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.

PersonaPlex code.

CUDA Templates and Python DSLs for High-Performance Linear Algebra

cuDF - GPU DataFrame Library

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

the LLM vulnerability scanner

OpenShell is the safe, private runtime for autonomous AI agents.

NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots.

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

NVIDIA cuML: GPU-Accelerated Machine Learning

Build and run containers leveraging NVIDIA GPUs

NVIDIA device plugin for Kubernetes

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.

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.

CUDA Python: Performance meets Productivity

Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

NeMo Retriever Library is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever Library uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images that you can use in downstream generative applications.

NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes

The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents.

CUDA Core Compute Libraries

TensorRT Extension for Stable Diffusion Web UI

AIStore: scalable storage for AI applications

NCCL Tests

This repo contains the source code for RULER: What’s the Real Context Size of Your Long-Context Language Models?

NVIDIA DLSS is a new and improved deep learning neural network that boosts frame rates and generates beautiful, sharp images for your games

Tools for building GPU clusters

Documentation of NVIDIA chip/hardware interfaces

Router that virtually distributes inference across connected devices in the home.

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.

GPU accelerated decision optimization

NVIDIA cuDF for Apache Spark plugin - accelerate Apache Spark with GPUs

NVIDIA Federated Learning Application Runtime Environment

cuDNN Frontend is NVIDIA's modern, open-source entry point to the cuDNN library and a growing collection of high-performance open-source kernels.

cuVS - a library for vector search and clustering on the GPU

DreamGen: Nvidia GEAR Lab's initiative to solve the robotics data problem using world models

SOMA BVH to humanoid robot motion retargeting library built with Newton and NVIDIA Warp

High-performance, light-weight C++ LLM and VLM Inference Software for Physical AI

Our inference and training framework to run on the Cosmos Models

NeMo text processing for ASR and TTS

JAX-Toolbox

Multi-tier framework for evaluating AI agent skills with quality gates, semantic overlap detection, synthetic evaluation dataset generation, and live agent evaluation that measures how skills affect agent behavior.

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

This repo contains CUDA-Q Academic materials, including self-paced Jupyter notebook modules for building and optimizing hybrid quantum-classical algorithms using CUDA-Q.

NVSentinel detects and remediates GPU faults on Kubernetes nodes

The unified framework for sim & real robot teleoperation

NVIDIA driver control panel

NVIDIA Resiliency Extension is a python package for framework developers and users to implement fault-tolerant features. It improves the effective training time by minimizing the downtime due to failures and interruptions.

Ancillary open source software to support confidential computing on NVIDIA GPUs

Examples for Recommenders - easy to train and deploy on accelerated infrastructure.

NVIDIA k8s device plugin for Kubevirt

The CUDA target for Numba

Help shape the future of Project G-Assist

From PyTorch model to end-to-end TensorRT inference experience in two commands—AI-native, cross-platform, and built for the best possible user experience.

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

Platform for deploying and routing GPU-accelerated inference, streaming, and batch workloads at scale.

Data representations, APIs, and tools for high quality AV and robotics applications

The NVIDIA GPU driver container allows the provisioning of the NVIDIA driver through the use of containers.

An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment.

ALCHEMI Toolkit is a developer toolkit for accelerating training and inference for AI in chemistry and material science.

NVIDIA driver installer

TensorIR is a lightweight NVIDIA-owned MLIR compiler frontend for expressing tensor computations and lowering them to NVIDIA CUDA Tile IR.

Ubuntu kernels which are optimized for NVIDIA server systems

Exemplar Performance provides recipes in ready-to-use templates for evaluating performance of specific AI use cases across hardware and software combinations.

Spark RAPIDS MLlib – accelerate Apache Spark MLlib with GPUs

NVIDIA Inference Benchmarks provide recipes in ready-to-use templates for evaluating platform speed. Validate your platform across specific AI use cases across hardware and software combinations.

XR AI

NVIDIA Design System and UI Agent Harness for AI/ML Factories, Robotics, and Autonomous Vehicles

Load the NVIDIA kernel module and create NVIDIA character device files

User tools for Spark RAPIDS

NVIDIA cuDF plugin JNI For Apache Spark

A Kubernetes Operator to manage Node OS customizations.

A collection of useful Go libraries for use with NVIDIA GPU management tools

Communication patterns for AI, built on top of NCCL device and host APIs

cuDF plugin Benchmarks – benchmark sets and utilities for the NVIDIA cuDF plugin for Apache Spark

A Scalable (and Optionally, Data-Parallel) ANARI Multi-GPU Path Tracer

NVIDIA NeMo Fabric

DAQIRI connects high bandwidth streaming sensor data to the NVIDIA software ecosystem

Tool to unpack or parse PLDM (Platform Level Data Model v1.3.0 or lesser) firmware update files.

This repository provides a starter kit for sports intelligence built on NVIDIA AI stack: playbooks, training recipes, and inference for Multimodal Language Models.

🧪 OpenShell's Research Journal

OpenStack Storage (Swift). Mirror of code maintained at opendev.org.

Official NVIDIA/srt-slurm sweep configs for benchmarking LLMs across NVIDIA GPUs and frameworks, spanning aggregated and disaggregated serving on single- and multi-node setups.

このリポジトリに関する説明は提供されていません。

Web-based user interface built on Vue.js for managing OpenBMC systems

Non-PLDM firmware update infrastructure

Remotely mount images for the host through the BMC

A machine learning compiler for GPUs, CPUs, and ML accelerators

Run-time JSON driven system configuration manager

yaml-sigil-spec Rust YamlSigil trait and DTO surface

YAML-preserving + Protobuf round-trip in-toto signing format, seeking evolutionary hardening through public collaboration.

yaml-sigil-spec Rust implementation workspace (core + api libs)