CUDA Toolkit

Develop, Optimize and Deploy GPU-Accelerated Apps

The NVIDIA® CUDA® Toolkit provides a development environment for creating high performance GPU-accelerated applications. With the CUDA Toolkit, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms and HPC supercomputers. The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime library to build and deploy your application on major architectures including x86, Arm and POWER.

Using built-in capabilities for distributing computations across multi-GPU configurations, scientists and researchers can develop applications that scale from single GPU workstations to cloud installations with thousands of GPUs.

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CUDA 11 Features

CUDA 11 introduces support for the NVIDIA Ampere architecture, Arm server processors, performance-optimized libraries, and new developer tool capabilities.

Support for the NVIDIA Ampere architecture includes next generation Tensor Cores, mixed precision modes, Multi-Instance GPU (MIG), advanced memory management, and standard C++/Fortran parallel language constructs.

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GTC Digital Webinars

Dive deeper into the latest CUDA features.

Inside the NVIDIA Ampere Architecture

Explore what's new with the NVIDIA Ampere Architecture, and its implementation in NVIDIA A100.

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CUDA New Features and Beyond

Learn what's new in the CUDA Toolkit, including the latest and greatest features in the CUDA language, compiler, libraries, and tools — and a sneak peek at what's coming up over the next year.

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CUDA on NVIDIA Ampere GPU Architecture

Learn how to leverage the NVIDIA Ampere Architecture capabilities to take your algorithms to the next level of performance

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Customer Stories

See how developers, scientists, and researchers are using CUDA today.

CUDA Ecosystem

Explore the top compute and graphics packages with built-in CUDA integration.


Download CUDA today.

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