Local AI BGM and sound effects for Claude Code and any MCP client. Stable Audio 3 on Apple Silicon (MLX) and Windows NVIDIA GPUs (PyTorch). No cloud, no API key.
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.
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The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
Load a modified VBIOS for NVIDIA GPUs on Windows through the driver's registry override, without flashing
Offline NVIDIA Blackwell VBIOS editor.
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.
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 confidential GPU inference cloud in a box: Intel TDX + NVIDIA confidential-computing nodes for DeepSeek-V4.1-Flash and GLM-5.3, verifiable and listed on TrustedRouter
DeepSeek-V4.1-Flash-1017 EXL3 2.9bpw on 2x NVIDIA DGX Spark (GB10) with TensorFold: 2.1-2.3x the vLLM kit's decode speed.
ODS V3 Pre-Release: Public testing and refinement ahead of the official V3 launch. Turn your PC, Mac, or Linux box into a private AI server.
AssetFurnace: the most complete open-source image-to-3D pipeline (Oct 2026). Prompt or picture → textured, rigged, animated game character, locally on Apple Silicon or NVIDIA. Pixal3D, TRELLIS.2, Hunyuan3D, SF3D, auto-rig and 21 moves. For indie game devs and 3D artists. Free, Apache-2.0.
Load a modified VBIOS per NVIDIA GPU at boot on Linux, in memory, through the open kernel modules
Imagination Studio by keys+Wasserman powered by TensorFold: an AI film studio for Mac and NVIDIA DGX Spark. Plan a film like a crew (Slate workflow by Sam Wasserman), render Qwen-Image-2.1 / FLUX3-K pictures and MiniMax H3 / FastH3 video with sound on TensorFold.
Eigene Songs lokal erzeugen, auf Mac (Apple Silicon, Metal), Windows (NVIDIA) und Linux (Arch, AMD/NVIDIA/Intel): Web-App für ACE-Step 1.5 über acestep.cpp, mit Installer
A high-performance framework for training LLMs, VLMs, diffusion, and embodied models on NVIDIA GPUs and Kunlun XPUs. Supports Pi0.5, GR00T-N1.7, FastWAM, Cosmos3, DreamZero, DeepSeek-V4, GLM-5.3, Kimi-K3 and more.
Qwen3.8-Flash-Next (180B MoE) on one 12-16 GB NVIDIA GPU, Linux or Windows. Own engine, own compression.
An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots.
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
A library of model optimization techniques (quantization, pruning, distillation, NAS, speculative decoding, sparsity) that exports compressed checkpoints for inference frameworks.
Omniverse Kit App Template
the LLM vulnerability scanner
Dockerized OpenAI-compatible wrapper for Kokoro-82M text-to-speech w/multiplatform CPU, AMD, NVIDIA GPU PyTorch; multi-speaker, clone-tuning, caption timestamps, SSML, optional readalong web UI
NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments.
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.
Low-Latency Accelerated Web Remote Desktop Streaming Platform for Self-Hosting, Containers, Kubernetes, or Cloud/HPC
🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
Open Source AI Accelerator Research Platform Standard / 开源推理研究平台
DLSS 5 NR on your whole Windows desktop, in real time with Boost, FG, etc. RTX 30/40/50, 12 languages, user presets, recording with audio, one-window mode.
Training library for Megatron-based models with bidirectional Hugging Face conversion capability
Nvidia Isaac Video to Data Pipeline
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high-performance inference and serving library for interactive autoregressive video and world models
NVIDIA DLSS 5 Neural Rendering (NGX feature 18) as ComfyUI nodes. Enhance image batches and video files with the real neural renderer, with optional upscaling.
DeepSeek-V4.1-Flash on 3-4x NVIDIA DGX Sparks
Optimized SGLang runtime for Qwen3.8-27B FP8 with DFlash2 and Qwen3.8 Flash-Next NVFP4 with FR-Spec on one NVIDIA RTX PRO 6000 Blackwell 96 GB GPU (SM120): 524K context, HiCache and NIXL.
支持视频、图片任意输入,借助 DLSS5 算法提升图像与视频渲超分染真实质感;兼容 RTX30/40/50 系列 NVIDIA 显卡,支持 HDR、队列批量处理,提供实时渲染预览与参数调节。可保留原始格式、分辨率及容器编码,也可自定义无损输出;Windows 端开箱即用,无需游戏引擎,不依赖额外组件。
Tuned TP4 serving profile for DeepSeek-V4.1-Flash on 4x NVIDIA DGX Spark (SGLang, DSpark), built on the MiaAI-Lab recipe
Grafana dashboard for NVIDIA DGX Spark clusters running vLLM: throughput, contention, and GB10 GPU hardware telemetry (NVIDIA-themed, 55 panels)
DLSS 5 AIO — official NVIDIA DLSS DLLs (310.7.129) + DLSS 5 Neural Rendering runtime + DLSS5-Swapper & DLSS5-Feeder: DLSS 5 on any game (64/32-bit, D3D9, Vulkan)
A fancy NVIDIA GPU monitor for the terminal. One Python file, no dependencies.
Ongoing research training transformer models at scale
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
Welcome to GR00T Whole-Body Control (WBC)! This is a unified platform for developing and deploying advanced humanoid controllers. This includes: Decoupled WBC models used in NVIDIA Isaac-Gr00t, Gr00t N1.5 and N1.6 and GEAR-SONIC
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
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.
cuTile is a programming model for writing parallel kernels for NVIDIA GPUs
LLM KV cache compression made easy
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
A scalable, agentic-first, and HuggingFace-native RL framework for research (9k lines).
🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support
An implementation of the Nvidia's Parakeet models for Apple Silicon using MLX.
cuDNN Frontend is NVIDIA's modern, open-source entry point to the cuDNN library and a growing collection of high-performance open-source kernels.
Puts DLSS 5 neural rendering into games that never shipped it, and brings the game's own DLSS up to date - super resolution, ray reconstruction, frame generation. Scans your library, picks one of eight routes, fetches every part from its publisher at run time, then says what happened. One exe, no admin; uninstall puts the game back.
Agentic RL on Any Harness at Scale
SOMA: Unifying Parametric Human Body Models