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☆95,852Updated this week
- VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription…☆94,308Updated this week
- The open-source AI voice studio. Clone, dictate, create.☆58,868Oct 7, 2026Updated 3 weeks ago
- SGLang is a high-performance serving framework for large language models and multimodal models.☆38,315Updated this week
- World's fastest and most advanced password recovery utility☆27,179Updated this week
- Bend 2: a fast language that blocks AI mistakes via proof. Install: curl -fsSL https://bend-lang.com/install.sh | sh☆24,535Updated this week
- Build and run Docker containers leveraging NVIDIA GPUs☆17,605Dec 6, 2023Updated 2 years ago
- Instant neural graphics primitives: lightning fast NeRF and more☆17,583Feb 2, 2026Updated 8 months ago
- Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.☆16,199Updated this week
- kaldi-asr/kaldi is the official location of the Kaldi project.☆15,509Sep 22, 2025Updated last year
- CUDA on non-NVIDIA GPUs☆15,148Updated 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…☆14,974Updated this week
- Open3D: A Modern Library for 3D Data Processing☆14,140Sep 30, 2026Updated last month
- Solve puzzles. Learn CUDA.☆12,552Sep 1, 2024Updated 2 years ago
- NumPy & SciPy for GPU☆12,387Updated this week
- LMCache: Supercharge Your LLM with the Fastest KV Cache Layer☆12,224Updated this week
- An Open-source book with Modern CUDA learning Notes for Beginners - BF16/FP8/FP4, HGEMM, CuTe, Flash-Attention, etc.☆12,135Updated this week
- NumPy aware dynamic Python compiler using LLVM☆11,194Updated this week
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆10,674Updated this week
- cuDF - GPU DataFrame Library☆9,785Updated this week
- Samples for CUDA Developers which demonstrates features in CUDA Toolkit☆9,731Sep 9, 2026Updated last month
- Containers for machine learning☆9,492Updated this week
- OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.☆9,437Dec 4, 2025Updated 10 months ago
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆9,182Updated this week
- Modular ZK(Zero Knowledge) backend accelerated by GPU☆7,641Nov 29, 2024Updated last year
- Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.☆7,517May 28, 2026Updated 5 months ago
- A Python framework for GPU-accelerated simulation, robotics, and machine learning.☆7,256Updated this week
- An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.☆7,230Updated this week
- FlashInfer: Kernel Library for LLM Serving☆6,806Updated this week
- A flexible framework of neural networks for deep learning☆5,921Aug 28, 2023Updated 3 years ago
- A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.☆5,927Updated this week
- Making it easier to work with shaders☆5,765Updated this week
- ALIEN is a CUDA-powered artificial life simulation program.☆5,561Updated this week
- Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.☆5,415Sep 30, 2026Updated last month
- NVIDIA cuML: GPU-Accelerated Machine Learning☆5,314Updated this week
- A PyTorch Library for Accelerating 3D Deep Learning Research☆5,195Updated this week
- Optimized primitives for collective multi-GPU communication☆5,190Updated this week
- [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl☆4,998Feb 8, 2024Updated 2 years ago
- ArrayFire: a general purpose GPU library.☆4,907Updated this week
- Fast inference engine for Transformer models☆4,724Updated this week