CUDA Toolkit - Free Tools and Training | NVIDIA Developer NVIDIA CUDA Toolkit The NVIDIA® CUDA® Toolkit provides a development environment for creating high-performance, GPU-accelerated applications With it, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms, and supercomputers
CUDA Platform for Accelerated Computing | NVIDIA Developer CUDA Toolkit The NVIDIA® CUDA® Toolkit provides the development environment for creating high-performance, GPU-accelerated applications The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C++ compiler, and a runtime library
CUDA Toolkit 13. 3 Downloads - NVIDIA Developer CUDA Toolkit 13 3 Downloads Select Target Platform Click on the green buttons that describe your target platform Only supported platforms will be shown By downloading and using the software, you agree to fully comply with the terms and conditions of the CUDA EULA
Latest CUDA topics - NVIDIA Developer Forums NVIDIA Developer Forums Accelerated Computing CUDA CUDA Programming and Performance General discussion area for algorithms, optimizations, and approaches to GPU Computing with CUDA C, C++, Thrust, Fortran, Python (pyCUDA), etc CUDA on Windows Subsystem for Linux General discussion on WSL 2 using CUDA and containers CUDA Setup and Installation Installing and configuring your development
CUDA Toolkit Archive - NVIDIA Developer CUDA Toolkit Archive Latest Release Archived Releases CUDA Toolkit 13 2 1 (April 2026), Versioned Online Documentation CUDA Toolkit 13 2 0 (March 2026), Versioned Online Documentation CUDA Toolkit 13 1 2 (April 2026), Versioned Online Documentation CUDA Toolkit 13 1 1 (January 2026), Versioned Online Documentation
An Even Easier Introduction to CUDA (Updated) A quick and easy introduction to CUDA programming for GPUs This post dives into CUDA C++ with a simple, step-by-step parallel programming example
CUDA GPU Compute Capability | NVIDIA Developer CUDA GPU Compute Capability Compute capability (CC) defines the hardware features and supported instructions for each NVIDIA GPU architecture Find the compute capability for your GPU in the table below For legacy GPUs, refer to Legacy CUDA GPU Compute Capability
CUDA-X GPU-Accelerated Libraries | NVIDIA Developer NVIDIA CUDA-X Libraries Built on the foundation of NVIDIA® CUDA®, NVIDIA CUDA-X™ is a powerful suite of libraries designed to deliver industry-leading GPU acceleration across AI and high-performance computing use cases—from generative AI and autonomous machines to climate modeling and financial forecasting Whether you're deploying on resource-constrained IoT devices or the world's
CUDA Toolkit 12. 0 Released for General Availability NVIDIA announces the newest CUDA Toolkit software release, 12 0 This release is the first major release in many years and it focuses on new programming models and CUDA application acceleration through new hardware capabilities For more information, watch the YouTube Premiere webinar, CUDA 12 0: New Features and Beyond You can now target architecture-specific features and instructions in the