Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference
Repository Index
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GameStream client for PCs (Windows, Mac, Linux, and Steam Link)
Lightweight Armoury Crate alternative for Asus laptops with nearly the same functionality. Works with ROG Zephyrus, Flow, TUF, Strix, Scar, ProArt, Vivobook, Zenbook, Expertbook, ROG Ally, and more.
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
CUDA Templates and Python DSLs for High-Performance Linear Algebra
NVIDIA cuML: GPU-Accelerated Machine Learning
Optimized primitives for collective multi-GPU communication
Metal driver for NVIDIA GeForce cards on macOS Sequoia
Kill shader compilation stutter before you play. Compiles your games' shaders into the GPU driver's cache ahead of time. Windows, NVIDIA and AMD.
Awesome Vulkan ecosystem
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
cuGraph - RAPIDS Graph Analytics Library
ILGPU JIT Compiler for high-performance .Net GPU programs
DLSS 5 Neural Rendering for Images & Video with Frame Generation, RTX Video Super Resolution, HDR, and Color Grading
THE FIRST DLSS 5 MANAGER
eBPF based always-on CPU/GPU profiler auto-discovering targets in Kubernetes and systemd, zero code changes or restarts needed!
Path-traced Minecraft Java 1.21.1 through NVIDIA RTX Remix: a Fabric mod (beta)
ClojureCL is a Clojure library for parallel computations with OpenCL.
Berth is a lightweight GPU resource manager written in Go. It controls which applications get access to your GPU, when they get it, and how that access is handed off.
Awesome D3D12 ecosystem
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
Fast, exact inference for StartLux-Decision models on NVIDIA GPUs: the released GGUF files on int8 and 4-bit tensor cores, behind the /v1/systemone API, with up to 5.3× lower latency than vLLM in FP8 and bit-identical answers.
Latest hashcat docker for CUDA, OpenCL, and POCL. Deployed on Vast.ai