CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs.
kaldi-asr/kaldi is the official location of the Kaldi project.
The FFmpeg build script provides an easy way to build a static FFmpeg on OSX and Linux with non-free codecs included.
💰 USB flash drive ISO image for Ethereum, Zcash and Monero mining with NVIDIA graphics cards and Ubuntu GNU/Linux (headless)
A Slurm cluster using docker-compose
Use your NVIDIA GPU's VRAM as swap space on Linux. Built for laptops with soldered memory and no upgrade path. If you have an RTX card sitting there with 8GB of VRAM and you're getting swapped to SSD, this puts that VRAM to work
Graphics Processing Unit (GPU) Architecture Guide
Deep Learning tools and applications for NVIDIA AGX platforms.
OpenCV installation script with CUDA and cuDNN support
Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU
Install Immich in LXC with optional CUDA support
Scripts to help you set up your Ubuntu quickly, especially if you're in any subfield of Data Science or AI!
Deploy a complete self-hosted AI stack with Docker Compose: Ollama, LiteLLM, AnythingLLM, Whisper, WhisperLive, Kokoro, Embeddings, Docling and MCP Gateway. Local-first, private by default, with lightweight stacks, optional HTTPS and NVIDIA CUDA acceleration. Multi-arch: amd64, arm64.
One-command vLLM installation for NVIDIA DGX Spark with Blackwell GB10 GPUs (sm_121 architecture)
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
ffmpeg auto installer scripts
Official home of the Idlak Speech Synthesis Toolkit
Easier, quicker command-line CUDA profiling
Created by Nvidia
Released June 23, 2007