NVIDIA Unveils World's Fastest, Most Efficient Accelerators, Powers World's No. 1 Supercomputer

Mon Nov 12, 2012 9:00am EST

* Reuters is not responsible for the content in this press release.

  SALT LAKE CITY, UT, Nov 12 (Marketwire) -- 
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 combined.

    "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 year. 

    When Tesla K20X GPU accelerators are added to servers with Intel Sandy
Bridge CPUs, many applications are accelerated up to 10x or more,

--  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

    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.

    About NVIDIA
 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 www.nvidia.com.

    (1) Compared to Sequoia system at Lawrence Livermore National Laboratory
in Livermore at 16.3 petaflops of performance; Source: Top500.org -
 (2) CPU results: Dual socket E5-2687w,
3.10 GHz, GPU results: Dual socket E5-2687w + 2 Tesla K20X GPUs. 
Source: Green500.org: www.green500.org/lists/green201206. 
 (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 notice.

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For further information, contact:
George Millington 
NVIDIA Public Relations
(408) 562-7226

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