NVIDIA Tesla GPU Accelerators Power World's Most Energy Efficient Supercomputer

NVIDIA Tesla GPU Accelerators Power World's Most Energy Efficient Supercomputer 
Latest Green500 Results Establish GPU Accelerator Advantage vs. CPUs,
All Other Accelerators for Energy Efficient, High Performance
SANTA CLARA, CA -- (Marketwired) -- 06/28/13 --  NVIDIA today
announced that NVIDIA(R) Tesla(R) GPU accelerators are powering the
world's two most energy efficient supercomputers, based on the latest
Green500 list published today. 
The winning system is 'Eurora' at CINECA, Italy's largest
supercomputing center, in Casalecchio di Reno. Equipped with NVIDIA
Kepler(TM) architecture-based GPU accelerators -- the
highest-performance, most efficient accelerators ever built -- Eurora
delivers 3,210 MFlops per watt, making it 2.6 times more energy
efficient than the best system using Intel CPUs alone (at Meteo
France). It also greatly surpasses the most efficient Intel Xeon Phi
accelerator-based system, 'Beacon,' at the National Institute for
Computational Sciences, at the University of Tennessee.  
The number-two system on the June 2013 Green500 list is the 'Aurora
Tigon' supercomputer at the Selex ES facilities Chieti, Italy.  
These top two systems are powered by advanced Eurotech
high-performance 'Aurora' servers, equipped with NVIDIA Tesla K20 GPU
More broadly, NVIDIA Kepler GPU accelerator-based systems in the top
100 spots on the Green500 list are 50 percent more energy efficient
on average than the latest Intel Xeon Phi-based systems.  
Following last week's ISC 2013 Student Cluster Challenge in which
NVIDIA GPU accelerator-based systems swept the top four spots for
energy efficient supercomputing, NVIDIA GPUs again demonstrated why
they are most preferred accelerator solution among developers, system
designers, and computational researchers. 
"Raw performance is no longer the exclusive measure of the value and
impact of supercomputers," said Sumit Gupta, general manager of the
Tesla Accelerated Computing Business Unit at NVIDIA. "All future
systems will need to deliver higher performance with reduced power
consumption. With GPU accelerators in the top two spots, the latest
Green500 list demonstrates accelerators' ability to deliver unmatched
levels of energy-efficient supercomputer performance for
next-generation systems."  
By delivering thousands of small energy efficient cores operating in
parallel, GPU accelerators are considerably more energy efficient
than standard CPUs. These GPU cores are optimized to run the
compute-intensive portions of applications, while general-purpose CPU
cores, which process in serial, are highly inefficient when running
compute-intensive applications. 
Issued twice annually, the Green500 list rates the 500 most energy
efficient supercomputers based on performance achieved relative to
power consumed. For more information and the complete June 2013
Green500 list visit: http://green500.org/.  
About NVIDIA Tesla GPUs 
 NVIDIA Tesla GPUs are massively parallel
accelerators based on the NVIDIA CUDA(R) parallel computing platform
and programming model. Tesla GPUs are designed from the ground up for
power-efficient, high performance computing, computational science
and supercomputing, delivering dramatically higher application
acceleration for a range of scientific and commercial applications
than a CPU-only approach.  
To learn more about CUDA or download the latest version, visit the
CUDA website. Follow us on Twitter at @NVIDIATesla. 
 Since 1993, NVIDIA (NASDAQ: NVDA) has pioneered the art
and science of visual computing. The company's technologies are
transforming a world of displays into a world of interactive
discovery -- for everyone from gamers to scientists, and consumers to
enterprise customers. More information at
http://nvidianews.nvidia.com and http://blogs.nvidia.com. 
Certain statements in this press release including, but not limited
to, statements as to: the impact and benefits of NVIDIA GPU
accelerators 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: global economic conditions; our
reliance on third parties to manufacture, assemble, package and test
our products; the impact of technological development and
competition; development of new products and technologies or
enhancements to our existing product and technologies; market
acceptance of our products or our partners' products; 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 April 28,
2013. 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. 
Copyright 2013 NVIDIA Corporation. All rights reserved. NVIDIA and
the NVIDIA logo, Kepler, and Tesla 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. 
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For further information, contact:
George Millington 
NVIDIA Public Relations
(408) 562-7226
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