New Gene Sequencer to Break $1,000 Cost Barrier With NVIDIA

New Gene Sequencer to Break $1,000 Cost Barrier With NVIDIA Tesla GPU
Acceleration 
Ion Proton System From Life Technologies Makes Genome-Scale
Sequencing More Accessible to Scientists and Medical Researchers
Worldwide 
SANTA CLARA, CA -- (Marketwire) -- 10/31/12 --  NVIDIA(R) Tesla(R)
GPU accelerators are enabling Life Technologies Corporation's new Ion
Proton(TM) System to accelerate primary genome-sequence analysis --
the computation that generates DNA base pairs -- by over 16 times.
This will dramatically reduce the cost to sequence an entire human
genome from about $1 billion a decade ago to $1,000 in the near
future.  
"GPU acceleration and other advanced Ion Proton features enable every
laboratory in the world to take advantage of human genome sequencing
quickly and easily, without costly IT investments," said Alan
Williams, vice president of software and engineering in the Ion
Torrent unit at Life Technologies Corporation. "By democratizing
genome sequencing, we expect to see an unprecedented wave of
innovation in life sciences and the advancement of clinical
research." 
The Ion Proton System's technology builds on the rapid advances in
increasing throughput, accuracy and read-length achieved with the
Life Technologies Ion Personal Genome Machine(R) (PGM(TM)) Sequencer,
which also uses GPUs to accelerate primary analysis. The Ion PGM
sequencer was the first to decode the deadly 2011 E. coli bacteria
outbreak in Germany because of its exceptional speed. 
Setting new standards for performance, ease of use and affordability,
the Ion Proton System enables researchers to rapidly go from
multiplex sample sequencing to genome-scale sequencing on a single
platform. At one-fifth the cost of light-based genome-scale
sequencing systems, it can save researchers hundreds of thousands of
dollars.  
"GPU acceleration has become pervasive in all aspects of computing
for life science applications and will enable research to push the
envelope of scientific discovery," said Sumit Gupta, general manager
of the Tesla accelerated computing business unit at NVIDIA. "The pace
of research has fundamentally been accelerated by the use of GPUs for
everything from gene sequencers and sequence analysis to molecular
modeling and diagnostic imaging." 
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.  
More information about NVIDIA Tesla GPUs is available at the Tesla
website. 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. 
Certain statements in this press release including, but not limited
to, statements as to: the impact 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. 
Image Available: http://www2.marketwire.com/mw/frame_mw?attachid=2137746 
For further information, contact:
George Millington 
NVIDIA Public Relations
(408) 562-7226
gmillington@nvidia.com 
 
 
Press spacebar to pause and continue. Press esc to stop.