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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 deploy your application.

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 12 Features

CUDA 12 introduces support for the NVIDIA Hopper and Ada Lovelace architectures, Arm server processors, Lazy Module and Kernel Loading, revamped Dynamic Parallelism APIs, enhancements to the CUDA graphs API, performance-optimized libraries, and new developer tool capabilities.

Support for the NVIDIA Hopper architecture includes next generation Tensor Cores and Transformer Engine, hi-speed NVLink Switch system, mixed precision modes, 2nd generation Multi-Instance GPU (MIG), advanced memory management, and standard C++/Fortran/Python parallel language constructs.

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GTC Digital Webinars

Dive deeper into the latest CUDA features.

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.

Adobe, CUDA Ecosystem Partner
Ansys, CUDA Ecosystem Partner
Autodesk, CUDA Ecosystem Partner
Dassault Systemes, CUDA Ecosystem Partner
MathWorks, CUDA Ecosystem Partner
Microsoft, CUDA Ecosystem Partner
National Instruments, CUDA Ecosystem Partner
Wolfram Mathematica, CUDA Ecosystem Partner



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