GPU Supercomputing Now Available On Demand from Amazon Web Services
NVIDIA Tesla GPUs in AWS Cloud Give Customers On-Demand Access to the Parallel Processing Capabilities of GPUs
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FOR IMMEDIATE RELEASE:
SANTA CLARA, Calif. —Nov. 15, 2010—NVIDIA announced today that, for the first time ever, enterprises and start-ups will be able to access the supercomputing-class performance of NVIDIA® Tesla™ GPUs through a new Amazon Elastic Compute Cloud (EC2) offering, called Cluster GPU Instances. This new offering extends the available options for flexible, on-demand high performance computing (HPC) within the Amazon Web Services (AWS) cloud.
Supercomputing has become an important 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, until recently, limited their use to government and university-based research facilities or businesses willing to make the large up-front capital investment. By making GPUs available through Amazon EC2, AWS is now making this available to businesses of all sizes.
“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. ”We’re excited to help our customers access the raw power of GPU technology and look forward to the innovation this will enable.”
“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,” said Andy Keane, general manager, Tesla business at NVIDIA. “GPU supercomputing, through AWS, gives users a flexible computing facility that allows them to scale their computing needs based on user demand.”
Hundreds of applications have already been ported to the NVIDIA® CUDA™ massively parallel architecture upon which all its current GPUs are based. CUDA-accelerated applications benefit from being able to access the hundreds of cores in a GPU to run, in some cases, orders of magnitude faster than on conventional processors. Some of the applications ready to be used on Amazon Cluster GPU Instances include mental images’ RealityServer® (interactive photo-realistic rendering) and Mathworks’ MATLAB (leading numerics software).
NVIDIA Tesla GPUs, designed specifically for high performance computing environments, deliver transformative performance increases across a wide range of HPC fields, including drug discovery, product design, structural analysis, financial simulations, video transcoding, hurricane and tsunami modeling, cancer research, car design, even studying the formation of galaxies.
Certain statements in this press release including, but not limited to, statements as to: the benefits and impact of NVIDIA Tesla GPUs and CUDA architecture; and the impact of the company’s patents on modern computing; are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: our reliance on third parties to manufacture, assemble, package and test our products; global economic conditions; development of faster or more efficient technology; the impact of technological development and competition; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission, or SEC, including its Form 10-Q for the fiscal period ended August 1, 2010. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
© 2010 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, Tesla, CUDA, and RealityServer are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.