Released on: June 24, 2008, 2:04 am

Press Release Author: Colin Saldanha

Industry: Computers

Press Release Summary: NVIDIA Tesla® and CUDAT Technologies Together Deliver a
Complete Computing Solution for the Entire HPC Industry

Press Release Body: DUBAI, UAE-JUNE 24, 2008- From video encoding to oil and gas
exploration and from medical imaging to scientific research, thousands of CUDA
developers in the high performance computing (HPC) community are leveraging a
revolutionary GPU computing platform that was announced just one year ago. With
over 60,000 downloads of the C-compiler to date, the combination of CUDAT and Tesla®
technologies have been the foundation for industry changing applications, making it
the most rapidly adopted GPU computing technology platform in the HPC community.

"GPU Computing is coming at a time when we are running out of gas for time-critical
forecasts on conventional clusters," says National Center of Atmospheric Research's
John Michalakes, lead software developer for the Weather Research & Forecasting
Model "We aim to cut the time for a forecast by at least a factor of two as we
incorporate NVIDIA's GPU computing technology into more of WRF. I expect the affect
of accelerators in weather and climate modeling will be transformative."

This year at the International Supercomputing Conference, NVIDIA Corporation, the
leader in GPU technologies, has strengthened the CUDA and Tesla technology platforms
with the introduction of its second-generation platform, the new Tesla 10 series
computing solutions. Binary compatible and supporting the industry standard
language of C, the new products enable developers to solve their computational
challenges in a common and familiar development environment that scales effortlessly
from one generation to the next with no re-coding required.

"The path to great discovery is filled with many challenges and for today\'s
scientists, engineers and researchers, in fields such as drug research, seismic
exploration or medical science, one of the biggest challenges is computation," said
Jen-Hsun Huang, president and CEO of NVIDIA. "The GPU is taking high performance
computing in a fundamentally new direction. Now, hundreds of processor cores are
able to work together to give scientists and engineers massive jumps in performance,
while dramatically reducing the footprint in their datacenter."

The new Tesla product family includes the Tesla S1070 1U computing system and the
Tesla C1060 computing processor and delivers:
. Double the performance: up to 4 Teraflops per 1U system
. Double precision: IEEE 754 arithmetic support
. Double the memory: with 16 Gigabytes of memory per 1U system
. Up to 3x the power efficiency: for a more efficient computing environment

"As a world leader of derivatives, BNPParibas is constantly investing in research
for more efficient financial calculations. To this end, we are currently conducting
research on the use of GPUs to speed up options processing and early access to the
new NVIDIA Tesla products has been highly beneficial. These experiments, done with
ANEO consulting firm, delivered very promising results with impressive performance
speedup and exceptional accuracy. The Tesla 10 Series, which offers IEEE 754 double
precision compliance, is also a very important step forward for us," says Stephane
Tyc, BNPParibas Global Head of Equities & Derivates Quantitative Research.

When combined with the award-winning CUDA C-language development software for
parallel computing, the new Tesla products extend the reach of GPUs to any
computationally intensive applications requiring double precision accuracy. To date,
over 70 million CUDA enabled GPUs have been sold into the market and over 60,000
downloads of the C-compiler have been recorded through the community website CUDA
Zone. As a result, developers across a wide variety of fields including financial
analysis, astrophysics and seismic imaging are leveraging NVIDIA's CUDA development
tools. These developers can now simply parallelise their software and exploit the
GPU's parallel computing architecture to automatically distribute computing work to
hundreds of processor cores.

"CUDA has allowed us to tap into the processing power of the GPU with tremendous
ease, saving us time and money," says Jim Hardwick, Senior Software Engineer at
Techniscan. "A single host system and two Tesla D870s are considerably cheaper than
the 16-core cluster. This is significant not only for production and sales, but also
reduces research and development costs in engineering."

"Using only 12 GPUs, Volera is capable of analysing the entire U.S. options market,
in real time, with latencies of less than 10 milliseconds," says Gerald A. Hanweck,
Jr., founder and principal partner of Hanweck Associates. "That sort of result would
usually require at least 60 traditional 1U servers. By using NVIDIA GPU technology,
our clients are able to see better results while saving maintenance costs, with
lower power consumption, and a smaller real-estate footprint."

The Tesla S1070 1U computing system and Tesla C1060 computing processor board are
sampling today and will ship in August 2008.

For more information and for the free download of CUDA,please visit:
www.nvidia.co.uk/cuda and for more information on the Tesla 10 Series computing
products, please visit www.nvidia.co.uk/tesla


About NVIDIA
NVIDIA Corporation (Nasdaq: NVDA) is the world leader in visual computing
technologies and the inventor of the GPU, a high-performance processor which
generates breathtaking, interactive graphics on workstations, personal computers,
game consoles, and mobile devices. NVIDIA serves the entertainment and consumer
market with its GeForce® GPU products, the professional design and visualisation
market with its Quadro® GPU products, and the high-performance computing market with
its TeslaT computing solution products. NVIDIA is headquartered in Santa Clara,
Calif. and has offices throughout Asia, Europe, and the Americas. For more
information, visit www.nvidia.co.uk.

Certain statements in this press release including, but not limited to, statements
as to: the benefits, features, uses, performance, and capabilities of the new Tesla
product family, the GPU computing technology platform, CUDA C-language development
software, and NVIDIA GT100; high performance computing; and product availability and
pricing information 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:
delays in ramping new products into production; our reliance on third parties to
manufacture, assemble and test our products; unexpected loss of performance of our
products or technologies when integrated into systems; development of faster or more
efficient GPU or computing technology; the impact of technological development and
competition; changes in consumer preferences and demands; customer adoption of
competitors\' products; design, manufacturing or software defects as well as other
factors detailed from time to time in the reports NVIDIA files with the Securities
and Exchange Commission including its Form 10-Q for the period ended April 27, 2008.
Copies of reports filed with the SEC are posted on our 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 © 2008 NVIDIA Corporation. All rights reserved. All company and/or
product names may be trade names, trademarks and/or registered trademarks of the
respective owners with which they are associated. Features, pricing, availability,
and specifications are subject to change without notice.


NVIDIA, the NVIDIA logo, and Tesla, CUDA, Quadro, and GeForce 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.

For further information, contact:

Bea Longworth
NVIDIA Corporation
+44 (1189) 033015
blongworth@nvidia.com




Web Site: http://www.nvidia.co.uk

Contact Details: Colin Saldanha
Oak Consulting
+97150 6400762
colin@oakconsulting.biz