New NVIDIA Tesla Solutions Bring Unprecedented, High-Density Parallel Processing to the HPC Market

NVIDIA Corporation:

Andrew Humber
NVIDIA Corporation
(408) 486 8138
ahumber@nvidia.com

Tesla GPU computing processor, deskside supercomputer, and GPU Computing server

Learn how partners are developing with GPU computing solutions

Acceleware Ryan Schneider Chief Technology Officer, Acceleware Corporation View Video Clip (49 MB WMV) Read Case Studies Full Story (641 KB PDF) Full Story (641 KB PDF)

Evolved Machines Paul Rhodes CEO, Evolved Machines View Video Clip (50 MB WMV) Read Case Study Full Story (641 KB PDF)

Headwave Steve Briggs Vice President of Systems Integration View Video Clip (51 MB WMV) Read Case Study Full Story (641 KB PDF)

University of Illinois: NAMD/VMD John Stone Senior Research Programmer, University of Illinois View Video Clip (52 MB WMV) Read Case Study Full Story (641 KB PDF)

FOR IMMEDIATE RELEASE

"NVIDIA Tesla™ is going to make discovery of huge oil reserves possible through faster and more accurate interpretation of geophysical data." —Steve Briggs, Headwave, Inc.

"NVIDIA Tesla will give us a 100-fold increase in some of our programs, and this is on desktop machines where previously we would have had to run these calculations on a cluster." —John Stone, University of Illinois Urbana-Champaign

"NVIDIA Tesla has opened up completely new worlds for computational electromagnetics." —Ryan Schneider, Acceleware

SANTA CLARA, CA—JUNE 20, 2007—High-performance computing in fields like the geosciences, molecular biology, and medical diagnostics enable discoveries that transform billions of lives every day. Universities, research institutions, and companies in these and other fields face a daunting challenge: as their simulation models become exponentially complex, so does their need for vast computational resources.

NVIDIA took a giant step in meeting this challenge with today's announcement of a new class of processors based on a revolutionary new graphics processing unit (GPU). Under the NVIDIA® Tesla™ brand, NVIDIA will offer a family of GPU computing products that will place the power previously available only from supercomputers in the hands of every scientist and engineer. Today's workstations will be transformed into "personal supercomputers."

"Today's science is no longer confined to the laboratory; scientists employ computer simulations before a single physical experiment is performed. This fundamental transition to computational methods is forging a new path for discoveries in science and engineering," said Jen-Hsun Huang, president and CEO of NVIDIA. "By dramatically reducing computation times, in some cases from weeks to hours, NVIDIA Tesla represents the single most significant disruption the high-performance computing industry has seen since Cray 1's introduction of vector processing."

The Tesla family of GPU computing solutions span PCs to large scale server clusters. The new family includes:

• NVIDIA Tesla GPU Computing Processor, a dedicated computing board that scales to multiple Tesla GPUs inside a single PC or workstation. The Tesla GPU features 128 parallel processors, and delivers up to 518 gigaflops of parallel computation. The GPU Computing processor can be used in existing systems partnered with high-performance CPUs.
• NVIDIA Tesla Deskside Supercomputer, a scalable computing system that includes two NVIDIA Tesla GPUs and attaches to a PC or workstation through an industry-standard PCI-Express connection. With multiple deskside systems, a standard PC or workstation is transformed into a personal supercomputer, delivering up to 8 teraflops of compute power to the desktop.
• NVIDIA Tesla GPU Computing Server, a 1U server housing up to eight NVIDIA Tesla GPUs, containing more than 1000 parallel processors that add teraflops of parallel processing to clusters. The Tesla GPU Server is the first server system of its kind to bring GPU computing to the datacenter.