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Key Details of NVIDIA CUDA Toolkit

  • Create high performance GPU-accelerated applications
  • Last updated on 11/21/17
  • There have been 0 updates within the past 6 months

Developer’s Description

Create high performance GPU-accelerated applications.

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 learning and graph analytics. For developing custom algorithms, you can use available integrations with commonly used languages and numerical packages as well as well-published development APIs. Your CUDA applications can be deployed across all NVIDIA GPU families available on premise and on GPU instances in the cloud. 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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Full Specifications

GENERAL
Release
Latest update
Version
0
OPERATING SYSTEMS
Platform
Windows
Operating System
Windows 10
Additional Requirements
None
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Total Downloads
71
Downloads Last Week
1

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