Public GitHub footprint of NVIDIA Corporation

Run agents like Hermes and OpenClaw more securely inside NVIDIA OpenShell with managed inference

Build and run Docker containers leveraging NVIDIA GPUs

NVIDIA Linux open GPU kernel module source

Ongoing research training transformer models at scale

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.

Style transfer, deep learning, feature transform

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

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

the LLM vulnerability scanner

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

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

Synthesizing and manipulating 2048x1024 images with conditional GANs

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

Transformer related optimization, including BERT, GPT

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Optimized primitives for collective multi-GPU communication

Deep Learning GPU Training System

NVIDIA device plugin for Kubernetes

Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks.

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

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

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 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

AIStore: scalable storage for AI applications

NVIDIA curated collection of educational resources related to general purpose GPU programming.

A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology

AI agent skills published by NVIDIA

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.

Spark RAPIDS plugin - accelerate Apache Spark with GPUs

Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.

GPU accelerated decision optimization

NVIDIA Federated Learning Application Runtime Environment

Official Codebase for "DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos" (ICML 2026)

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

NVIDIA Data Center GPU Manager (DCGM) is a project for gathering telemetry and measuring the health of NVIDIA GPUs

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

CUDA checkpoint and restore utility

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

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

JAX-Toolbox

An SDK (Software Development Kit) for building commercial-grade, AI-native, 3GPP, and O-RAN compliant 5G/6G gNB software on NVIDIA-accelerated computing platforms.

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

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

high-performance inference and serving library for interactive autoregressive video and world models

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.

NVIDIA OptiX based implementation of ANARI

MIG Partition Editor for NVIDIA GPUs

The unified framework for sim & real robot teleoperation

Running object detection on a webcam feed using TensorRT on NVIDIA GPUs in Python.

Our inference and training framework to run on the Cosmos Models

A benchmark of real-world DL kernel problems

NVAPI is NVIDIA's core software development kit that allows direct access to NVIDIA GPUs and drivers on supported platforms.

NVIDIA Infra Controller - Hardware Lifecycle Management and multitenant networking

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

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

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

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

Golang bindings for Nvidia Datacenter GPU Manager (DCGM)

Kubernetes Operator, Helm Charts, Ansible Playbooks, and utility scripts for large-scale AIStore deployments on Kubernetes.

A toolkit for discovering cluster network topology.

Accelerated libraries for quantum-classical computing built on CUDA-Q.

Ubuntu kernels which are optimized for NVIDIA server systems

CloudAI Benchmark Framework

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

An Optimizer for Nvidia Compilers.

Spark RAPIDS MLlib – accelerate Apache Spark MLlib with GPUs

JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training

Unified high-performance Python client for object and file stores.

Accelerated Computer Vision Lab (ACCV-Lab) is a systematic collection of packages with the common goal to facilitate end-to-end efficient training in the ADAS domain, each package offering tools & best practices for a specific aspect/task in this domain.

Multi-language agent runtime for execution scope management, lifecycle events, and middleware on tool and LLM calls.

RAPIDS Accelerator JNI For Apache Spark

A Kubernetes Operator to manage Node OS customizations.

The NVIDIA Driver Manager is a Kubernetes component which assist in seamless upgrades of NVIDIA Driver on each node of the cluster.

GPU Memory Reservation Library

Spark RAPIDS Benchmarks – benchmark sets and utilities for the RAPIDS Accelerator for Apache Spark

Linux driver for diagnostic software

SimReady Foundation is a central repository for defining simulation content specifications based on various runtime use cases.

repo for Numba-CUDA-MLIR

Harmonizer is an online generative enhancement framework that transforms renderings from imperfect scenes into temporally consistent outputs while improving their realism.

Cosmos Evaluator is an automated evaluation & grading system for synthetic video output generated by Cosmos models

K8s-test-infra

NVIDIA GPU Accelerated Application Samples in Google Cloud Platform

NVIDIA NMOS (Networked Media Open Specifications) Library

InstantNuRec: Feed-Forward 3D Gaussian Reconstruction from Driving Logs

DGX RHEL SELinux Policies

Validation and management tools for NVIDIA ISV Lab environments.

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

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

A Rust Crate for interacting with DTMF Redfish endpoints

NVIDIA Switch Infrastructure - Config Manager

Packages for the Skyhook Kubernetes Operator.

Media Function Operator Kit