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.
Open3D: A Modern Library for 3D Data Processing
Modular ZK(Zero Knowledge) backend accelerated by GPU
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
CUDA Templates for Linear Algebra Subroutines
ALIEN is a CUDA-powered artificial life simulation program.
[ARCHIVED] The C++ parallel algorithms library. See /~https://github.com/NVIDIA/cccl
ArrayFire: a general purpose GPU library.
Tengine is a lite, high performance, modular inference engine for embedded device
cuML - RAPIDS Machine Learning Library
Lightning fast C++/CUDA neural network framework
HIP: C++ Heterogeneous-Compute Interface for Portability
Fast inference engine for Transformer models
LightSeq: A High Performance Library for Sequence Processing and Generation
HeavyDB (formerly OmniSciDB)
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
Created by Nvidia
Released June 23, 2007