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☆90,889Updated this week
- The open-source AI voice studio. Clone, dictate, create.☆52,225Aug 9, 2026Updated 3 weeks ago
- SGLang is a high-performance serving framework for large language models and multimodal models.☆33,856Updated this week
- World's fastest and most advanced password recovery utility☆26,701Updated this week
- Build and run Docker containers leveraging NVIDIA GPUs☆17,591Dec 6, 2023Updated 2 years ago
- Instant neural graphics primitives: lightning fast NeRF and more☆17,544Feb 2, 2026Updated 7 months ago
- Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.☆15,860Updated this week
- kaldi-asr/kaldi is the official location of the Kaldi project.☆15,475Sep 22, 2025Updated 11 months ago
- CUDA on non-NVIDIA GPUs☆14,799Updated 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…☆14,539Updated this week
- Open3D: A Modern Library for 3D Data Processing☆13,936Updated this week
- Solve puzzles. Learn CUDA.☆12,443Sep 1, 2024Updated 2 years ago
- NumPy & SciPy for GPU☆12,305Updated this week
- Modern CUDA Learn Notes with PyTorch for Beginners, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.☆11,882Aug 27, 2026Updated last week
- NumPy aware dynamic Python compiler using LLVM☆11,142Updated this week
- LMCache: Supercharge Your LLM with the Fastest KV Cache Layer☆11,636Updated this week
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆10,371Updated this week
- Containers for machine learning☆9,468Updated this week
- OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.☆9,431Dec 4, 2025Updated 9 months ago
- Samples for CUDA Developers which demonstrates features in CUDA Toolkit☆9,588May 27, 2026Updated 3 months ago
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆9,088Updated this week
- Modular ZK(Zero Knowledge) backend accelerated by GPU☆7,651Nov 29, 2024Updated last year
- Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.☆7,495May 28, 2026Updated 3 months ago
- An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.☆7,133Jul 27, 2026Updated last month
- A Python framework for GPU-accelerated simulation, robotics, and machine learning.☆7,070Updated this week
- FlashInfer: Kernel Library for LLM Serving☆6,326Updated this week
- A flexible framework of neural networks for deep learning☆5,923Aug 28, 2023Updated 3 years ago
- ALIEN is a CUDA-powered artificial life simulation program.☆5,500Updated this week
- Making it easier to work with shaders☆5,615Updated this week
- A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.☆5,599Updated this week
- Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.☆5,334Aug 17, 2026Updated 2 weeks ago
- A PyTorch Library for Accelerating 3D Deep Learning Research☆5,164Updated this week
- [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl☆5,002Feb 8, 2024Updated 2 years ago
- ArrayFire: a general purpose GPU library.☆4,903Mar 7, 2026Updated 5 months ago
- Optimized primitives for collective multi-GPU communication☆5,044Updated this week
- Fast inference engine for Transformer models☆4,661Updated this week
- Tengine is a lite, high performance, modular inference engine for embedded device☆4,532Mar 6, 2025Updated last year
- Lightning fast C++/CUDA neural network framework☆4,530Apr 21, 2026Updated 4 months ago