SOMA BVH to humanoid robot motion retargeting library built with Newton and NVIDIA Warp
Isaac Lab - Arena is a robotics simulation framework that enhances NVIDIA Isaac Lab by providing a composable, scalable system for creating diverse simulation environments and evaluating robot learning policies. The framework enables developers to rapidly prototype and test robotic tasks with various robot embodiments, objects, and environments.
Qwen3.8-27B on 16-32 GB Nvidia GPUs one-click install for Windows / Linux
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.
sparkrun - launch, manage, and stop LLM inference workloads on NVIDIA DGX Spark systems. Live support: https://discord.com/invite/GH5kRgv6ZD
One command turns a DGX Spark or ASUS Ascent GX10 into a private AI server: seven measured, pinned AI lanes (text up to 1M tokens, images, video with sound), run from a local cockpit on a laptop or a phone. Nothing leaves the box.
DeepSeek-V4.1-Flash (552B MoE, MXFP4 experts, 1M ctx) on four NVIDIA DGX Sparks with vLLM TP4: Engram-on-disk patch, sm121 kernel build, launchers, measured numbers
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BertholomusAI recipe: DeepSeek-V4.1-Flash on 2x NVIDIA DGX Spark (GB10), our own TensorFold TP2 engine. Weights: Mia-AiLab EXL3 2.9bpw (MIT).
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
NVIDIA cuML: GPU-Accelerated Machine Learning
A PyTorch Library for Accelerating 3D Deep Learning Research
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
π A simple command-line utility for querying and monitoring GPU status
The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents.
π Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series
NVIDIA Object Oriented Agents: the Pythonic way to build AI Agents.
A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.
Scalable toolkit for efficient model reinforcement
NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.
Scalable data pre processing and curation toolkit for LLMs
Docker build for FFmpeg on Ubuntu / Alpine / Centos / Scratch / nvidia / vaapi
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
Tools for building GPU clusters
LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.
Evaluate and improve models and agents using environments
OpenCL integration for Python, plus shiny features
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
A project to improve skills of large language models
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NVIDIA Federated Learning Application Runtime Environment
Optimized Whisper models for streaming and on-device use
The NVIDIA Deep Researcher Agent Blueprint is an open reference example for building intelligent AI agents that connect to your enterprise data, reason using state-of-the-art models, and deliver trusted business insights.
gprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain Finite-Difference (FDTD) code for numerical modelling of Ground Penetrating Radar (GPR), antennas, radar and bioelectromagnetics
Transform PDFs into AI podcasts for engaging on-the-go audio content.
Python Computer Vision & Video Analytics Framework With Batteries Included
Cosmos-Transfer1 is a world-to-world transfer model designed to bridge the perceptual divide between simulated and real-world environments.
Helpful kernel tutorials, examples and SKILLs for tile-based GPU programming
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
verl for a single consumer GPU. PPO, GRPO and on-policy distillation on NVIDIA GPUs.
GLM-5.3-Flash (NVFP4) on 2x NVIDIA DGX Spark - vLLM TP2, 262K context, MTP. World-first deploy recipe: 7 day-0 bugs found and fixed, patched sm121 image, probes and full report.
The fastest vLLM build for AMD R9700's. For the latest updates join the Launch80 discord server. I am on X now also https://x.com/bkuyper
Hand-written NVFP4 W4A16 CUDA kernels for Volta
Custom NVIDIA 368.81-based XP 32-bit driver with Maxwell/Pascal desktop additions, OpenGL and compute fixes, improved DisplayPort/HDMI scaling, and restored Control Panel features.
NVIDIA Sol-Attn for ComfyUI / Triton kernel on SM89 - SM121, with zero-copy MiniMax H3 nodes: memory-efficient attention, scheduled tau with graph preview, and feed-forward chunking. Measured 1.14β1.44Γ vs SageAttention and β37% MLP peak VRAM on H3
ComfyUI custom nodes for DLSS 5 Neural Video & Image Enhancer with Frame Interpolation
GLM-5.3-Flash (abliterated EXL3) on 2x NVIDIA DGX Spark with the TensorFold engine: 1.8x faster decode than vLLM, 4x256k concurrent threads, byte-exact speculative decoding. Work in progress.
Implementation of RoboTTT proposed by Yunfan Jiang et al. of Stanford and Nvidia
Train LoRAs for Qwen-Image 2.1, FLUX.2 Klein 9B, FLUX.3 Image Klein, Krea 2, Z-Image, MOSS-Image, ERNIE-Image, Ideogram 4, Anima, SDXL (Pony, Illustrious, NoobAI), LTX 2.3, MiniMax-H3, and more on NVIDIA GPUs from 4β8 GB VRAM. One install, one launcher, NF4 models. Windows, Linux and RunPod.
Reproducible refusal-subspace editing and TP=2 deployment of DeepSeek V4 Flash 0731 on two DGX Sparks
Custom inference recipes for NVIDIA DGX Spark β Qwen 122B DFlash hybrid
GPU-native NVIDIA video enhancement, restoration, temporal analysis, and experimental DLSS 5 Neural Rendering nodes for ComfyUI.
GLM-5.3-Flash on 4Γ NVIDIA CMP 170HX with vLLM: up to 482.6 tok/s single-user, up to 943.7 tok/s at 8 users, 262K context, TP4 or PP4, one-command container install
Capping GPU clocks on NVIDIA GB10: -12C peak temp, -36% GPU power, ~1.6% throughput cost. Measurement harness, raw data, and the systemd unit.
Easy, fast, and memory-efficient structure prediction inference
This repository provides a starter kit for sports intelligence built on NVIDIA AI stack: playbooks, training recipes, and inference for Multimodal Language Models.
DLSS 5 Neural Rendering on an Intel Xe2 iGPU: an independent reimplementation of the inference pass, running in a real game through a Vulkan layer. Code only. No NVIDIA binaries, no weights.
vLLM inference solutions for NVIDIA GB10 (DGX Spark, sm121) β KIMI-K3 B12X_MLA + DSpark, GLM-5.2