XLS: Accelerated HW Synthesis
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Deep learned, NVIDIA-accelerated 3D object pose estimation
CUDA-accelerated visual odometry and SLAM library for fast, accurate, low-latency camera tracking
A GPU-accelerated TSDF and ESDF library for robots equipped with RGB-D cameras.
High-performance GPU-accelerated signal processing and visualization framework that runs anywhere.
CUDA Core Compute Libraries
Native IPTV client for PlayStation 5 homebrew with an offline-first iptv-org catalog and hardware-accelerated H.264, HEVC, and VP9 playback.
A modern Qt 6 desktop media player built with QML, C++20, and libmpv, with hardware-accelerated playback and cross-platform packaging.
Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
Accelerated BLAST compatible local sequence aligner.
Low-latency hardware-accelerated WebRTC video streaming and remote control for Raspberry Pi & NVIDIA Jetson
A fast JSON serializing & deserializing library, accelerated by SIMD.
Free, Cross-Platform, GPU-Accelerated Procedural Texture Generator
NVIDIA-accelerated 3D scene reconstruction and Nav2 local costmap provider using nvblox
GPU accelerated trading charts for React Native
Open-Source AI-Accelerated Mesh and Texture Editing, and spiritual successor to Autodesk Meshmixer
CV-CUDAβ’ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
Real-time YOLOv5s + UNet on RK3588 with OpenCL GPU-accelerated lens undistortion. Dual-camera AI perception system for autonomous driving assistance.