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CUDA Toolkit

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Description

CUDA Toolkit provides the core, foundational development environment for creating high performance NVIDIA GPU-accelerated applications for diverse workloads from high performance computing, data science analytics and AI.

Curator

NVIDIA

Modified

April 8, 2021
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What is in the CUDA Toolkit?

The CUDA Toolkit provides the core, foundational development environment for creating high performance NVIDIA 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.

What is in this collection?

  • CUDA Containers : The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime. The CUDA container images provide an easy-to-use distribution for CUDA supported platforms and architectures.
  • CUDA Samples : This is a collection of containers to run CUDA workloads on the GPUs. The collection includes containerized CUDA samples for example, vectorAdd (to demonstrate vector addition), nbody (or gravitational n-body simulation) and other examples.

    These containers can be used for validating the software configuration of GPUs in the system or simply to run some example workloads.

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