Customers Explain How SGI Solved Their Big Problems
We could tell you the many ways that SGI high performance computing solutions meet customer needs. Instead we asked our customers to tell their stories. Please explore how SGI users are solving some of the world's biggest problems.
"Using the Cosmos supercomputer, we are trying to understand the origin of the universe, what it is made of, and where the galaxies that we observe today came from."
Professor Stephen Hawking
Founder of the COSMOS Consortium
"We use the SGI platform to take the USPS beyond what they were able to achieve with traditional approaches."
President, FedCentric Technologies LLC
"Deploying SGI Rackable cluster based on Intel Xeon Phi coprocessors and the Intel Xeon processor E5-2600 v2 product family allowed us to use the power of high-performance computing to achieve faster turnaround time in seismic processing while saving significantly on IT infrastructure costs and maintain our existing software investments."
Dr. Matthew Lamont
Managing Director, DownUnder GeoSolutions
SGI Case Studies
"There's no doubt that without it (the SGI System) we wouldn't have been able to conduct our study, especially in three months, which is a very short period of time for a research project and on such a large scale."
Dr. Akos Dobay
Post-doctoral researcher at the University of Zurich
"The efficiency of the SGI ICE X system, which represents high computational power using a minimal amount of energy, gives Total the smallest footprint and lowest TCO possible."
CIO, Exploration and Production for Total S.A.
"Without this computational infrastructure it would have been difficult to collect and analyze the data from our research experiments, leaving us unable to answer many of our scientific questions and greatly limiting our rate of progress."
Senior Facility Manager for IT, National University of Singapore
What Users Are Saying About SGI
"In my 15 years as an ANSYS HFSS Applications Specialist, I never imagined that we could realize full-wave finite element simulations of the magnitude we are seeing today using the SGI UV system."
ANSYS Technical Director
"The SGI UV 300, with its large shared memory, provides a unique capability for researchers to develop new methodologies and algorithms for interdisciplinary research needed to support social sciences research."
Director, City University of New York, HPC Center