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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

GPU-accelerated CUDA libraries enable drop-in acceleration across multiple domains such as linear algebra, image and video processing, deep

What's New in NVIDIA CUDA Toolkit

Version 10.3:

Full log available here

  • CUDA 10.0 adds support for the Turing architecture (compute_75 and sm_75)
  • CUDA 10.0 adds support for new programming constructs called CUDA Graphs, a new asynchronous task-graph programming model that enables more efficient launch and execution. See the API

Requirements for NVIDIA CUDA Toolkit

  • OS X 10.8 or later
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NVIDIA CUDA Toolkit User Discussion

5 1
Current Version (10.x)
Downloads 8,443
Version Downloads 171
License Free
Date 05 Feb 2019
Platform Intel 64 / OS X / Intel 32
Price Free
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