Consumers want blazing fast performance—whether blasting their way through
the latest game or being socially responsible and sharing their PC’s processing
power to help find cures for diseases. Today, NVIDIA Corporation, the worldwide
leader in visual computing technologies, just made this easier by releasing a
set of non-graphics applications that utilize the power of its GeForce® graphics
cards. Included in the GeForce Power Pack are Stanford University’s Folding@home
distributed-computing, protein-folding client and a trial version of Elemental
TechnologiesEBadaboom video transcoder. Available for download today at no-cost
at www.nvidia.com/theforcewithin,
these are part of a growing number of applications that use the power of NVIDIA
GeForce® graphics processing units (GPU) and NVIDIA® CUDAEC-programming
technology to significantly improve the performance of non-graphics applications
by transferring the workload from the CPU to the more efficient GPU.

All of the 80 million plus GeForce 8 Series and higher GPUs in the field are
CUDA-enabled, the largest installed base of general-purpose, parallel-computing
processors ever created. The same GPU architecture that delivers stunning
onscreen computer graphics in video games is also ideal for many other types of
applications. The latest generation of NVIDIA GeForce GPUs offer up to 240
processor cores, compared to a maximum of the four cores found on the
highest-end CPU. Any process that can be divided into multiple elements and run
in parallel can be programmed to take advantage of the massive processing
potential of the GPU.

NVIDIA first released its CUDA programming technology in 2007, providing
software developers a programming environment based on the industry-standard C
language for easy creation of applications running on NVIDIA GPUs. Numerous
commercial and scientific applications have adopted CUDA technology and now
consumer applications are starting to emerge that take advantage of the
technology.

“CUDA has the potential be a disruptive force in both the GPU and CPU
industries,Esays Anand Shimpi, CEO and editor-in-chief of AnandTech.com. “Apps
like Badaboom, that solve significant problems for the home PC user, could give
NVIDIA hardware a significant advantage over other GPUs and it points to the
need for consumers to optimize their PCs so they have both decent CPU and GPU
power.Ebr>

Elemental TechnologiesEBadaboom is a video transcoding program that converts
video files into other formats. For example, the program can convert an MPEG
file to play on an iPod or other portable device. Video transcoding can be one
of the most time-consuming tasks in home computing. Converting a two-hour movie,
for instance, can take six or more hours when using the computer’s CPU. However,
with Badaboom on the GPU, the conversion process can be up to 18 times faster
than traditional methods, getting the job done in a few minutes and, in the
meantime, also freeing the CPU to handle other tasks like email and Web
browsing.

Tackling the intense processing demands of ongoing medical research, Stanford
University’s Folding@home distributed computing program, gives consumers the
opportunity to share their computer processing power in an effort to help find a
cure for disease. Running up to 140 times faster on an NVIDIA GPU over a CPU,
Folding@home makes use of idle computer cycles to perform scientific
calculations. Folding@home studies protein folding, where proteins in our bodies
assemble themselves. Biologists simulate protein folding in order to understand
how proteins fold so quickly and reliably, and to discover what happens if they
do not fold correctly. Diseases such as Alzheimer’s, cystic fibrosis, BSE (Mad
Cow disease), an inherited form of emphysema, and many cancers are believed to
result from protein misfolding. The Folding@home client is a free program that
runs in the background of the PC, allowing ordinary people to have a real impact
in the search for a cure of these diseases.

The Quadro Plex D Series VCS will be available in September 2008 with prices
beginning at $ 10,750.

The CUDA-enabled content from this first GeForce Power Pack are available for
free from
www.nvidia.com/theforcewithin
. More information on the Badaboom video
transcoder can be found at
http://www.badaboomit.com
and more information about Folding@home can be
found at http://folding.stanford.edu