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Nvidia GPU supercomputing available on demand from AWS

Posted: 17 Nov 2010 ?? ?Print Version ?Bookmark and Share

Keywords:Elastic Compute Cloud? Cluster GPU Instances? Amazon Web Services? supercomputing?

Nvidia announced that enterprises and start-ups will now be able to access the supercomputing-class performance of Nvidia Tesla GPUs through Amazon Web Services's (AWS') Elastic Compute Cloud offering, called Cluster GPU Instances.

Supercomputing has become a significant tool in the process of creating commercial products, from design and simulation-based testing to production; however, the upfront cost of acquiring these systems has limited their utility to government and university-based research facilities or businesses willing to make the large up-front capital investment, until recently.

"With Amazon Cluster GPU Instances, our customers now have the power of high performance computing, the efficiency and speed of GPUs and the highly available, scalable and affordable cloud environment our customers have come to expect from AWS," said Peter De Santis, general manager of Amazon EC2.

General manager for the Tesla business at Nvidia, Andy Keane cites, "The ability to run a larger number of more detailed simulations, with an on-demand pricing model and the scalability of Amazon EC2, enables companies to build better, safer, more reliable products. GPU supercomputing, through AWS, gives users a flexible computing facility that allows them to scale their computing needs based on user demand."

Currently, a number of applications have already been ported to the Nvidia CUDA massively parallel architecture on which all its current GPUs are based. CUDA-accelerated applications derive benefit in being able to access hundreds of cores in a GPU to run, in some cases, orders of magnitude faster than on conventional processors. Such applications that are ready to be used on Amazon Cluster GPU Instances include mental images' RealityServer and Mathworks' Matlab.

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