XtremeData, an innovator providing solutions for large data analytics
and complex computing problems, today announced that the Data
Intensive Computing Initiative (Di2) at the University at Buffalo,
SUNY, has adopted dbX. XtremeData's dbX offering constitutes the
next-generation in database appliances: the only systems created
specifically for unconstrained analysis and exploration of very large
data sets.

Today's data intensive challenges in science and engineering are
forcing researchers to obtain different core technologies, like high
performance computing (HPC) clusters, graphics processing unit (GPU)
accelerators, field programmable gate array (FPGA) acceleration, and
massively parallel processing (MPP) database technology to do their
work successfully. Scientific research such as microarray data
analysis, gene environmental interaction analysis, and combustion/jet
engine simulations regularly create datasets from a few to more than
100 terabytes (TB) for a single experiment. dbX is the newest and most
cost-effective technology for warehousing and analyzing these
datasets, allowing fast unrestricted ad hoc access to the entire
dataset.

What People are Saying About dbX

The Di2 has combined an unprecedented amount of computing, storage,
and acceleration resources. XtremeData's dbX enterprise class data
warehousing appliance is integrated with the Di2's compute intensive
HPC and GPU infrastructure, allowing complex simulations, including
detailed analyses of archived datasets, archival of results into
network attached storage (NAS), followed by visualization of them.
Application of this new technology is now being used to solve
computational problems once considered impossible.

"The fields of drug discovery, cancer research, and genomics are of
personal interest to me," said Geno Valente, vice president of sales
and marketing at XtremeData. "Di2's research will have impacts beyond
our wildest dreams on some of the world's worst diseases. Being a part
of the computational framework supporting cutting edge research is
particularly gratifying. By partnering with Di2, we have unlocked
powerful FPGAs inside dbX for the worldwide research community via
user defined functions within the FPGA. We are already seeing exciting
results from this effort and believe this is only the tip of the
iceberg."

About University at Buffalo, SUNYThe University at Buffalo is a
premier research-intensive public university, a flagship institution
in the State University of New York system and its largest and most
comprehensive campus. UB's more than 28,000 students pursue their
academic interests through more than 300 undergraduate, graduate and
professional degree programs. Founded in 1846, the University at
Buffalo is a member of the Association of American Universities.

About Data Intensive Discovery Initiative (Di2)Di2 is dedicated to
helping scientists and engineers increase the pace of discovery
through the analysis of massive data sets. The current computing
platforms used in science and engineering for data analytic tasks of
this scale are unable to effectively meet the challenge. This is a
huge problem in the science and engineering domains where data is
being created at an unprecedented pace. Di2 researchers are developing
novel architectures and algorithms for discovery. Di2 also works by
bring vendors and researchers together in ways that have not been
possible in the past.

About Computational Research Laboratories Limited Computational
Research Laboratories Ltd. (CRL) is a wholly owned subsidiary of Tata
Sons Ltd. CRL provides High Performance Computing (HPC) Cloud Research
& Development services and solutions to the Automotive, Aerospace,
Life Sciences, Media & Entertainment, Weather, Sciences and other
sectors. With 'eka,' CRL's supercomputer (the most versatile, largest,
and fastest commercially available HPC system in the world), CRL
provides an expanded portfolio of cloud services that allows
organizations to avail HPC services, without having to undergo the
demands for capital expenditure and long turnaround times of cluster
set up. CRL has an experienced team of computational experts in
multiple domains including Biology, Fluid Dynamics, Materials Science,
Seismic Data Processing and Reservoir Simulations with a deep
understanding of the scaling of applications in a highly parallel
environment.

About XtremeData, Inc.XtremeData offers innovative solutions to large
data analysis and complex computing problems. Its products combine
commodity hardware, open-source software and custom
hardware-accelerators in a unique and optimal technology mix.
XtremeData offers appliances purpose-built for ad hoc analysis of
large data sets. XtremeData is headquartered in Schaumburg, IL, USA.
For more information, visit www.xtremedata.com
(http://www.xtremedata.com) .