The CUDA Toolkit includes a compiler, math libraries and tools for debugging and optimizing the performance of your applications. You'll also find code samples, programming guides, user manuals, API references and other documentation to help you get started.
NVIDIA provides all of this free of charge, including NVIDIA Parallel Nsight for Visual Studio, the industry's first development environment for massively parallel applications that use both GPUs and CPUs.
Learning to use CUDA is convenient, with comprehensive online training available as well as other resources, such as webinars and books. Over 400 universities and colleges teach CUDA programming, including dozens of CUDA Centers of Excellence and CUDA Research and Training Centers.
Solutions for Fortran, C#, Python and other languages are available. Explore the GPU Computing Ecosystem on cuda zone to learn more.
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