CUDA (Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) model created by NVIDIA for general computing on its own GPUs (Graphics Processing Units). It empowers application developers to leverage the parallel processing capabilities of NVIDIA's GPUs to accelerate computation-heavy tasks, such as matrix operations, physics simulations, deep learning training, and real-time video processing. CUDA provides a C-like programming language that allows developers to write kernel functions, which are executed on the GPU, and manage memory between the host (CPU) and device (GPU) environments. Utilizing CUDA can lead to significant performance improvements in suitable applications, and it integrates well with various programming environments, including Python through libraries like PyCUDA or through frameworks like TensorFlow with GPU support. Understanding basic concepts such as kernels, threads, blocks, and warps is essential for developers to effectively harness the power of GPU programming with CUDA.
View the most prominent open source CUDA projects in the list below. Click on a specific project to view its alternative or complementary packages. Make comparisons and find the best package for your app.
- A high-throughput and memory-efficient inference and serving engine for LLMs☆75,637Updated this week
- World's fastest and most advanced password recovery utility☆25,732Feb 20, 2026Updated last month
- SGLang is a high-performance serving framework for large language models and multimodal models.☆25,643Updated this week
- Build and run Docker containers leveraging NVIDIA GPUs☆17,526Dec 6, 2023Updated 2 years ago
- Instant neural graphics primitives: lightning fast NeRF and more☆17,352Feb 2, 2026Updated 2 months ago
- kaldi-asr/kaldi is the official location of the Kaldi project.☆15,367Sep 22, 2025Updated 6 months ago
- Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.☆14,843Updated this week
- CUDA on non-NVIDIA GPUs☆14,096Updated this week
- Open3D: A Modern Library for 3D Data Processing☆13,468Updated this week
- TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizat…☆13,304Updated this week
- Solve puzzles. Learn CUDA.☆12,027Sep 1, 2024Updated last year
- The open-source voice synthesis studio☆14,624Mar 31, 2026Updated last week
- NumPy aware dynamic Python compiler using LLVM☆10,964Updated this week
- NumPy & SciPy for GPU☆10,881Mar 29, 2026Updated 2 weeks ago
- 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉☆10,217Updated this week
- cuDF - GPU DataFrame Library☆9,601Updated this week
- OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.☆9,392Dec 4, 2025Updated 4 months ago
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,536Apr 2, 2026Updated last week
- Containers for machine learning☆9,375Updated this week
- Samples for CUDA Developers which demonstrates features in CUDA Toolkit☆9,050Mar 30, 2026Updated last week
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆8,878Updated this week
- Modular ZK(Zero Knowledge) backend accelerated by GPU☆7,694Nov 29, 2024Updated last year
- Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.☆7,414Feb 18, 2026Updated last month
- Supercharge Your LLM with the Fastest KV Cache Layer☆7,900Apr 5, 2026Updated last week
- An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.☆6,768Apr 1, 2026Updated last week
- A Python framework for GPU-accelerated simulation, robotics, and machine learning.☆6,482Updated this week
- A flexible framework of neural networks for deep learning☆5,919Aug 28, 2023Updated 2 years ago
- ALIEN is a CUDA-powered artificial life simulation program.☆5,379Mar 27, 2026Updated 2 weeks ago
- cuML - RAPIDS Machine Learning Library☆5,171Updated this week
- Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.☆5,138Apr 4, 2026Updated last week
- Making it easier to work with shaders☆5,191Apr 3, 2026Updated last week
- FlashInfer: Kernel Library for LLM Serving☆5,273Apr 4, 2026Updated last week
- A PyTorch Library for Accelerating 3D Deep Learning Research☆5,069Updated this week
- [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl☆5,000Feb 8, 2024Updated 2 years ago
- ArrayFire: a general purpose GPU library.☆4,881Mar 7, 2026Updated last month
- A GPU cluster manager that configures and orchestrates inference engines like vLLM and SGLang for high-performance AI model deployment.☆4,789Updated this week
- Tengine is a lite, high performance, modular inference engine for embedded device☆4,515Mar 6, 2025Updated last year
- Optimized primitives for collective multi-GPU communication☆4,600Updated this week
- Lightning fast C++/CUDA neural network framework☆4,452Apr 1, 2026Updated last week
- HIP: C++ Heterogeneous-Compute Interface for Portability☆4,353Apr 2, 2026Updated last week