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
NVIDIAModified
April 4, 2023Containers
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Resources
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.
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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.