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☆71,234Updated this week
- World's fastest and most advanced password recovery utility☆25,470Feb 20, 2026Updated last week
- SGLang is a high-performance serving framework for large language models and multimodal models.☆23,658Updated this week
- Build and run Docker containers leveraging NVIDIA GPUs☆17,498Dec 6, 2023Updated 2 years ago
- Instant neural graphics primitives: lightning fast NeRF and more☆17,286Feb 2, 2026Updated 3 weeks ago
- kaldi-asr/kaldi is the official location of the Kaldi project.☆15,325Sep 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.☆14,419Updated this week
- CUDA on non-NVIDIA GPUs☆13,952Updated this week
- Open3D: A Modern Library for 3D Data Processing☆13,346Updated 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…☆12,938Updated this week
- Solve puzzles. Learn CUDA.☆11,959Sep 1, 2024Updated last year
- NumPy aware dynamic Python compiler using LLVM☆10,921Feb 20, 2026Updated last week
- NumPy & SciPy for GPU☆10,804Updated this week
- 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉☆9,693Feb 13, 2026Updated 2 weeks ago
- cuDF - GPU DataFrame Library☆9,498Updated this week
- OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.☆9,391Dec 4, 2025Updated 2 months ago
- Containers for machine learning☆9,252Updated this week
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,315Updated this week
- Samples for CUDA Developers which demonstrates features in CUDA Toolkit☆8,870Jan 6, 2026Updated last month
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆8,814Updated this week
- Modular ZK(Zero Knowledge) backend accelerated by GPU☆7,722Nov 29, 2024Updated last year
- Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.☆7,385Feb 18, 2026Updated last week
- Supercharge Your LLM with the Fastest KV Cache Layer☆6,923Updated this week
- An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.☆6,586Feb 13, 2026Updated 2 weeks ago
- A Python framework for accelerated simulation, data generation and spatial computing.☆6,248Updated this week
- A flexible framework of neural networks for deep learning☆5,926Aug 28, 2023Updated 2 years ago
- ALIEN is a CUDA-powered artificial life simulation program.☆5,356Updated this week
- cuML - RAPIDS Machine Learning Library☆5,122Updated this week
- A PyTorch Library for Accelerating 3D Deep Learning Research☆5,041Jan 22, 2026Updated last month
- Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.☆5,076Updated this week
- [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl☆4,998Feb 8, 2024Updated 2 years ago
- Making it easier to work with shaders☆5,045Updated this week
- ArrayFire: a general purpose GPU library.☆4,859Sep 5, 2025Updated 5 months ago
- FlashInfer: Kernel Library for LLM Serving☆5,009Updated this week
- Tengine is a lite, high performance, modular inference engine for embedded device☆4,506Mar 6, 2025Updated 11 months ago
- Performance-optimized AI inference on your GPUs. Unlock superior throughput by selecting and tuning engines like vLLM or SGLang.☆4,539Updated this week
- Optimized primitives for collective multi-GPU communication☆4,474Updated this week
- Lightning fast C++/CUDA neural network framework☆4,418Dec 14, 2025Updated 2 months ago
- HIP: C++ Heterogeneous-Compute Interface for Portability☆4,332Feb 10, 2026Updated 2 weeks ago
- Fast inference engine for Transformer models☆4,316Feb 4, 2026Updated 3 weeks ago