NVIDIA Unveils World's Fastest, Most Efficient Accelerators,

NVIDIA Unveils World's Fastest, Most Efficient Accelerators, Powers
World's No. 1 Supercomputer 
New Tesla K20X GPU Accelerators Deliver 90 Percent of Performance of
Titan, Crowned Fastest Supercomputer Today 
SALT LAKE CITY, UT -- (Marketwire) -- 11/12/12 --  SC12 -- NVIDIA
today unveiled the NVIDIA(R) Tesla(R) K20 family of GPU accelerators,
the highest performance, most efficient accelerators ever built, and
the technology powering Titan, the world's fastest supercomputer
according to the TOP500 list released this morning at the SC12
supercomputing conference. 
Armed with 18,688 NVIDIA Tesla K20X GPU accelerators, the Titan
supercomputer at Oak Ridge National Laboratory in Oak Ridge, Tenn.
seized the No. 1 supercomputer ranking in the world from Lawrence
Livermore National Laboratory's Sequoia system with a performance
record of 17.59 petaflops as measured by the LINPACK benchmark.(1) 
Tesla K20 - Performance, Energy-Efficiency Leadership
 Based on the
revolutionary NVIDIA Kepler(TM) compute architecture, the new Tesla
K20 family features the Tesla K20X accelerator, the flagship of
NVIDIA's Tesla accelerated computing product line.  
Providing the highest computing performance ever available in a
single processor, the K20X provides tenfold application acceleration
when paired with leading CPUs.(2) It surpasses all other processors
on two common measures of computational performance -- 3.95 teraflops
single-precision and 1.31 teraflops double-precision peak floating
point performance.  
The new family also includes the Tesla K20 accelerator, which
provides 3.52 teraflops of single-precision and 1.17 teraflops of
double-precision peak performance. Tesla K20X and K20 GPU
accelerators representing more than 30 petaflops of performance have
already been delivered in the last 30 days. This is equivalent to the
computational performance of last year's 10 fastest supercomputers
"We are taking advantage of NVIDIA GPU architectures to significantly
accelerate simulations in such diverse areas as climate and
meteorology, seismology, astrophysics, fluid mechanics, materials
science, and molecular biophysics," said Dr. Thomas Schulthess,
professor of computational physics at ETH Zurich and director of the
Swiss National Supercomputing Center. "The K20 family of accelerators
represents a leap forward in computing compared to NVIDIA's prior
Fermi architecture, enhancing productivity and enabling us
potentially to achieve new insights that previously were impossible." 
Additional early customers include: Clemson University, Indiana
University, Thomas Jefferson National Accelerator Facility (Jefferson
Lab), King Abdullah University of Science and Technology (KAUST),
National Center for Supercomputing Applications (NCSA), National
Oceanic and Atmospheric Administration (NOAA), Oak Ridge National
Laboratory (ORNL), University of Southern California (USC), and
Shanghai Jiao Tong University (SJTU). 
Energy-Efficiency for "Greener" Data Centers
 The Tesla K20X GPU
accelerator delivers three times higher energy efficiency than
previous-generation GPU accelerators and widens the efficiency
advantage compared to CPUs. 
Using Tesla K20X accelerators, Oak Ridge's Titan achieved 2,142.77
megaflops of performance per watt, which surpasses the energy
efficiency of the No. 1 system on the most recent Green500 list of
the world's most energy-efficient supercomputers.(3) 
Fastest on Broadest Range of Data Center Applications 
 The Tesla K20
family accelerates the broadest range of scientific, engineering and
commercial high performance computing and data center applications.
Today, more than 200 software applications take advantage of
GPU-acceleration, representing a 60 percent increase in less than a
When Tesla K20X GPU accelerators are added to servers with Intel
Sandy Bridge CPUs, many applications are accelerated up to 10x or
more, including:(4) 

--  MATLAB (engineering) - 18.1 times faster
--  Chroma (physics) - 17.9 times faster
--  SPECFEM3D (earth science) - 10.5 times faster
--  AMBER (molecular dynamics) - 8.2 times faster

More information about the Tesla K20 GPU accelerators is available at
NVIDIA booth 2217 at SC12, Nov. 12-15, and on the NVIDIA high
performance computing website. Users can also try the Tesla K20
accelerator for free on remotely hosted clusters. Visit the GPU Test
Drive website for more information. 
 The NVIDIA Tesla
K20 family of GPU accelerators is shipping today and available for
order from leading server manufacturers, including Appro, ASUS, Cray,
Eurotech, Fujitsu, HP, IBM, Quanta Computer, SGI, Supermicro,
T-Platforms and Tyan, as well as from NVIDIA reseller partners.  
About NVIDIA Tesla GPUs 
 NVIDIA Tesla GPUs are massively parallel
accelerators based on the NVIDIA CUDA 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. More NVIDIA news, company and product information,
videos, images and other information is available at the NVIDIA
newsroom. Follow us on Twitter at @NVIDIATesla. 
 NVIDIA (NASDAQ: NVDA) awakened the world to computer
graphics when it invented the GPU in 1999. Today, its processors
power a broad range of products from smartphones to supercomputers.
NVIDIA's mobile processors are used in cell phones, tablets and auto
infotainment systems. PC gamers rely on GPUs to enjoy spectacularly
immersive worlds. Professionals use them to create 3D graphics and
visual effects in movies and to design everything from golf clubs to
jumbo jets. And researchers utilize GPUs to advance the frontiers of
science with high performance computing. The company has more than
5,000 patents issued, allowed or filed, including ones covering ideas
essential to modern computing. For more information, see
(1) Compared to Sequoia system at Lawrence Livermore National
Laboratory in Livermore at 16.3 petaflops of performance; Source:
Top500.org - www.top500.org/lists/2012/06. 
 (2) CPU results: Dual
socket E5-2687w, 3.10 GHz, GPU results: Dual socket E5-2687w + 2
Tesla K20X GPUs. 
 (3) Source: Green500.org:
 (4) System configuration - CPU
results: Dual socket E5-2687w, 3.10 GHz CPUs; GPU results: Dual
socket E5-2687w CPUs + 2 Tesla K20X GPUs (MATLAB results running FFT
compare one i7-2600K CPU 3.4 GHz vs. Tesla K20 GPU).  
Certain statements in this press release including, but not limited
to, statements as to: the impact, performance and benefits of NVIDIA
Tesla GPUs and the effects 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: 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 July 29,
2012. 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 2012 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo, CUDA 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
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For further information, contact:
George Millington 
NVIDIA Public Relations
(408) 562-7226
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