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☆58,035Updated this week
- World's fastest and most advanced password recovery utility☆24,243Updated last week
- Build and run Docker containers leveraging NVIDIA GPUs☆17,424Updated last year
- SGLang is a fast serving framework for large language models and vision language models.☆17,823Updated this week
- Instant neural graphics primitives: lightning fast NeRF and more☆16,930Updated 3 weeks ago
- kaldi-asr/kaldi is the official location of the Kaldi project.☆15,100Updated last month
- CUDA on non-NVIDIA GPUs☆13,046Updated this week
- Open3D: A Modern Library for 3D Data Processing☆12,776Updated 3 weeks ago
- Burn is a next generation Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.☆12,845Updated this week
- Solve puzzles. Learn CUDA.☆11,453Updated last year
- TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support state-of-the-art optimizati…☆11,576Updated this week
- NumPy aware dynamic Python compiler using LLVM☆10,615Updated this week
- NumPy & SciPy for GPU☆10,479Updated this week
- OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.☆9,366Updated 3 weeks ago
- cuDF - GPU DataFrame Library☆9,180Updated this week
- Containers for machine learning☆8,831Updated this week
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆8,576Updated this week
- CUDA Templates for Linear Algebra Subroutines☆8,427Updated last week
- Samples for CUDA Developers which demonstrates features in CUDA Toolkit☆8,087Updated last week
- Modular ZK(Zero Knowledge) backend accelerated by GPU☆7,750Updated 9 months ago
- Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.☆7,213Updated last month
- 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉☆6,824Updated 2 weeks ago
- A flexible framework of neural networks for deep learning☆5,911Updated 2 years ago
- An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.☆6,115Updated last week
- A Python framework for accelerated simulation, data generation and spatial computing.☆5,505Updated last week
- ALIEN is a CUDA-powered artificial life simulation program.☆5,240Updated this week
- [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl☆4,989Updated last year
- cuML - RAPIDS Machine Learning Library☆4,922Updated this week
- A PyTorch Library for Accelerating 3D Deep Learning Research☆4,894Updated 3 weeks ago
- Supercharge Your LLM with the Fastest KV Cache Layer☆5,210Updated this week
- ArrayFire: a general purpose GPU library.☆4,774Updated last week
- Tengine is a lite, high performance, modular inference engine for embedded device☆4,490Updated 6 months ago
- Making it easier to work with shaders☆4,513Updated this week
- Lightning fast C++/CUDA neural network framework☆4,210Updated last week
- HIP: C++ Heterogeneous-Compute Interface for Portability☆4,170Updated this week
- Fast inference engine for Transformer models☆4,012Updated 5 months ago
- FlashInfer: Kernel Library for LLM Serving☆3,723Updated this week
- Simple, scalable AI model deployment on GPU clusters☆3,695Updated this week
- A retargetable MLIR-based machine learning compiler and runtime toolkit.☆3,347Updated this week