PORTLAND, OR, Nov 16 (MARKET WIRE) --
SC09 -- NVIDIA Corporation (NASDAQ: NVDA) today unveiled the Tesla
20-series of parallel processors for the high performance computing (HPC)
market, based on its new generation CUDA(TM) processor architecture,
codenamed "Fermi."
Designed from the ground-up for parallel computing, the NVIDIA(R)
Tesla(TM) 20-series GPUs slash the cost of computing by delivering the
same performance of a traditional CPU-based cluster at one-tenth the cost
and one-twentieth the power.
The Tesla 20-series introduces features that enable many new applications
to perform dramatically faster using GPU Computing. These include ray
tracing, 3D cloud computing, video encoding, database search, data
analytics, computer-aided engineering and virus scanning.
"NVIDIA has deployed a highly attractive architecture in Fermi, with a
feature set that opens the technology up to the entire computing
industry," said Jack Dongarra, director of the Innovative Computing
Laboratory at the University of Tennessee and co-author of LINPACK and
LAPACK.
The Tesla 20-series GPUs combine parallel computing features that have
never been offered on a single device before. These include:
-- Support for the next generation IEEE 754-2008 double precision floating
point standard
-- ECC (error correcting codes) for uncompromised reliability and
accuracy
-- Multi-level cache hierarchy with L1 and L2 caches
-- Support for the C++ programming language
-- Up to 1 terabyte of memory, concurrent kernel execution, fast context
switching, 10x faster atomic instructions, 64-bit virtual address space,
system calls and recursive functions.
At their core, Tesla GPUs are based on the massively parallel CUDA
computing architecture that offers developers a parallel computing model
that is easier to understand and program than any of the alternatives
developed over the last 50 years.
"There can be no doubt that the future of computing is parallel
processing, and it is vital that computer science students get a solid
grounding in how to program new parallel architectures," said Dr. Wen-mei
Hwu, Professor in Electrical and Computer Engineering of the University
of Illinois at Urbana-Champaign. "GPUs and the CUDA programming model
enable students to quickly understand parallel programming concepts and
immediately get transformative speed increases."
The family of Tesla 20-series GPUs includes:
-- Tesla C2050 & C2070 GPU Computing Processors
-- Single GPU PCI-Express Gen-2 cards for workstation configurations
-- Up to 3GB and 6GB (respectively) on-board GDDR5 memory(i)
-- Double precision performance in the range of 520GFlops - 630
Gflops
-- Tesla S2050 & S2070 GPU Computing Systems
-- Four Tesla GPUs in a 1U system product for cluster and datacenter
deployments
-- Up to 12 GB and 24 GB (respectively) total system memory on board GDDR5
memory(ii)
-- Double precision performance in the range of 2.1 TFlops - 2.5
Tflops
The Tesla C2050 and C2070 products will retail for $2,499 and $3,999
and the Tesla S2050 and S2070 will retail for $12,995 and $18,995.
Products will be available in Q2 2010. For more information about the new
Tesla 20-series products, visit the Tesla product pages.
Editors' note: As previously announced, the first Fermi-based consumer
(GeForce(R)) products are expected to be available first quarter 2010.
About NVIDIA
NVIDIA (NASDAQ: NVDA) awakened the world to the power of
computer graphics when it invented the graphics processing unit (GPU) in
1999. Since then, it has consistently set new standards in visual
computing with breathtaking, interactive graphics available on devices
ranging from portable media players to notebooks to workstations.
NVIDIA's expertise in programmable GPUs has led to breakthroughs in
parallel processing which make supercomputing inexpensive and widely
accessible. Fortune magazine has ranked NVIDIA #1 in innovation in the
semiconductor industry for two years in a row. For more information, see
www.nvidia.com.
Certain statements in this press release including, but not limited to,
statements as to: the benefits, features, impact, performance and
capabilities of NVIDIA Tesla 20-series GPUs, Fermi architecture and CUDA
architecture; 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: development of more efficient or faster technology;
design, manufacturing or software defects; the impact of technological
development and competition; changes in consumer preferences and demands;
customer adoption of different standards or our competitor's products;
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 including its Form 10-Q
for the fiscal period ended July 26, 2009. 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 2009 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo, Tesla, and CUDA are trademarks 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.
(i) With ECC enabled, user available memory will be 2.625GB for a C2050
and to 5.25GB for a C2070
(ii) With ECC enabled, user available memory
will be 10.5GB for an S2050 and 21GB for an S2070.
Image Available: http://www2.marketwire.com/mw/frame_mw?attachid=1115833
For more information, contact:
Andrew Humber
NVIDIA Corporation
(408) 416 7943
ahumber@nvidia.com
Copyright 2009, Market Wire, All rights reserved.
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