Pinned Repositories
aistore
AIStore: scalable storage for AI applications
cuopt
GPU accelerated decision optimization
cuopt-examples
NVIDIA cuOpt examples for decision optimization
DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
GenerativeAIExamples
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Megatron-LM
Ongoing research training transformer models at scale
nvidia-container-toolkit
Build and run containers leveraging NVIDIA GPUs
nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
open-gpu-kernel-modules
NVIDIA Linux open GPU kernel module source
TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
NVIDIA's Repositories
NVIDIA/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
NVIDIA/cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
NVIDIA/nccl-tests
NCCL Tests
NVIDIA/jetson-gpio
A Python library that enables the use of Jetson's GPIOs
NVIDIA/cudnn-frontend
cudnn_frontend provides a c++ wrapper for the cudnn backend API and samples on how to use it
NVIDIA/nvmath-python
NVIDIA Math Libraries for the Python Ecosystem
NVIDIA/makani
Massively parallel training of machine-learning based weather and climate models
NVIDIA/container-canary
A tool for testing and validating container requirements against versioned manifests
NVIDIA/physicsnemo-sym
Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as higher level abstraction for domain experts
NVIDIA/Megatron-Energon
Megatron's multi-modal data loader
NVIDIA/cuda-q-academic
This repo contains CUDA-Q Academic materials, including self-paced Jupyter notebook modules for building and optimizing hybrid quantum-classical algorithms using CUDA-Q.
NVIDIA/digital-biology-examples
NVIDIA Digital Biology examples for optimized inference and training at scale
NVIDIA/go-gpuallocator
Go Abstraction for Allocating NVIDIA GPUs with Custom Policies
NVIDIA/tao_tutorials
Quick start scripts and tutorial notebooks to get started with TAO Toolkit
NVIDIA/doca-platform
DOCA Platform manages provisioning and service orchestration for Bluefield DPUs
NVIDIA/NeMo-Agent-Toolkit-UI
The NVIDIA AIQToolkit UI streamlines interacting with AIQToolkit workflows in an easy-to-use web application.
NVIDIA/go-nvlib
A collection of useful Go libraries for use with NVIDIA GPU management tools
NVIDIA/DALI_extra
Test data for DALI project
NVIDIA/spark-rapids-benchmarks
Spark RAPIDS Benchmarks – benchmark sets and utilities for the RAPIDS Accelerator for Apache Spark
NVIDIA/context-aware-rag
Context-Aware RAG library for Knowledge Graph ingestion and retrieval functions.
NVIDIA/ib-traffic-monitor
A TUI-based utility for real-time monitoring of InfiniBand traffic and performance metrics on the local node
NVIDIA/k8s-operator-libs
A collection of useful Go libraries to ease the development of NVIDIA Operators for GPU/NIC management.
NVIDIA/ace-controller
Pipecat framework based orchestrator for building real-time, voice-enabled, and multimodal conversational AI agents
NVIDIA/nvidia-gcp-samples
NVIDIA GPU Accelerated Application Samples in Google Cloud Platform
NVIDIA/viskores-graph
Filter execution graph library built on top of VTK-m
NVIDIA/workbench-example-downloadable-nim
An NVIDIA AI Workbench example project for building with a downloadable NVIDIA NIM
NVIDIA/k8s-samples
Sample Dockerfiles for Docker Hub images
NVIDIA/terraform-provider-ngc
The NGC Provider enables Terraform to manage NGC (NVIDIA GPU Cloud) resources.
NVIDIA/u-boot
OpenBMC "Das U-Boot" Source Tree
NVIDIA/phosphor-net-ipmid
Network IPMI server