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☆73,479Updated this week
- World's fastest and most advanced password recovery utility☆25,581Feb 20, 2026Updated 3 weeks ago
- SGLang is a high-performance serving framework for large language models and multimodal models.☆24,455Updated this week
- Build and run Docker containers leveraging NVIDIA GPUs☆17,511Dec 6, 2023Updated 2 years ago
- Instant neural graphics primitives: lightning fast NeRF and more☆17,320Feb 2, 2026Updated last month
- kaldi-asr/kaldi is the official location of the Kaldi project.☆15,341Sep 22, 2025Updated 5 months ago
- Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.☆14,602Updated this week
- CUDA on non-NVIDIA GPUs☆14,009Updated this week
- Open3D: A Modern Library for 3D Data Processing☆13,396Updated 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…☆13,120Updated this week
- Solve puzzles. Learn CUDA.☆11,997Sep 1, 2024Updated last year
- The open-source voice synthesis studio☆13,384Updated this week
- NumPy aware dynamic Python compiler using LLVM☆10,935Updated this week
- NumPy & SciPy for GPU☆10,847Updated this week
- 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉☆9,932Updated this week
- cuDF - GPU DataFrame Library☆9,558Updated this week
- OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.☆9,389Dec 4, 2025Updated 3 months ago
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,442Updated this week
- Containers for machine learning☆9,267Updated this week
- Samples for CUDA Developers which demonstrates features in CUDA Toolkit☆8,953Jan 6, 2026Updated 2 months ago
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆8,848Updated this week
- Modular ZK(Zero Knowledge) backend accelerated by GPU☆7,718Nov 29, 2024Updated last year
- Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.☆7,403Feb 18, 2026Updated last month
- Supercharge Your LLM with the Fastest KV Cache Layer☆7,693Updated this week
- An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.☆6,635Mar 9, 2026Updated last week
- A Python framework for accelerated simulation, data generation and spatial computing.☆6,326Updated this week
- A flexible framework of neural networks for deep learning☆5,922Aug 28, 2023Updated 2 years ago
- ALIEN is a CUDA-powered artificial life simulation program.☆5,363Updated this week
- cuML - RAPIDS Machine Learning Library☆5,148Updated this week
- Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.☆5,107Feb 26, 2026Updated 3 weeks ago
- Making it easier to work with shaders☆5,108Updated this week
- FlashInfer: Kernel Library for LLM Serving☆5,145Updated this week
- A PyTorch Library for Accelerating 3D Deep Learning Research☆5,056Mar 13, 2026Updated last 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.☆4,868Mar 7, 2026Updated last week
- Performance-optimized AI inference on your GPUs. Unlock superior throughput by selecting and tuning engines like vLLM or SGLang.☆4,653Updated this week
- Tengine is a lite, high performance, modular inference engine for embedded device☆4,511Mar 6, 2025Updated last year
- Optimized primitives for collective multi-GPU communication☆4,531Updated this week
- Lightning fast C++/CUDA neural network framework☆4,436Dec 14, 2025Updated 3 months ago
- HIP: C++ Heterogeneous-Compute Interface for Portability☆4,345Updated this week