December 8, 2021
Being part of the SC Conference enhances your career – whether you are presenting new research, showcasing innovative work or practices, helping teach the nex Read more…
July 16, 2015
At IDC’s annual ISC breakfast there was a good deal more than market update numbers although there were plenty of those: “We try to track every server sold, Read more…
October 20, 2011
At SC11 in Seattle, the stage is set for data-intensive computing to steal the show. This year's theme correlates directly to the "big data" trend that is reshaping enterprise and scientific computing. We give an insider's view of some of the top sessions for the big data crowd and a broader sense of how this year's conference is shaping up overall. Read more…
May 26, 2011
The Weekly Top Five features the five biggest HPC stories of the week, condensed for your reading pleasure. This week, we cover the NC State effort to overcome the memory limitations of multicore chips; the sale of the first-ever commercial quantum computing system; Cray's first GPU-accelerated machine; speedier machine learning algorithms; and the connection between shrinking budgets and increased reliance on modeling and simulation. Read more…
October 27, 2010
Languages like R and MATLAB, which were once unofficially reserved for technical computing domains are slowly finding their way into enterprises due to the rise in demand for large-scale data analytics. This demand is coupled with recent announcements about cloud-based ways to use these languages, opening new doors to access and use. Read more…
September 28, 2010
Truthy.indiana.edu exposes dirty politics on the Web. Read more…
April 16, 2010
Even computer-unsavvy scientists will be able to use NASA Earth Exchange to collaborate on modeling and analysis of large data sets. Read more…
Data center infrastructure running AI and HPC workloads requires powerful microprocessor chips and the use of CPUs, GPUs, and acceleration chips to carry out compute intensive tasks. AI and HPC processing generate excessive heat which results in higher data center power consumption and additional data center costs.
Data centers traditionally use air cooling solutions including heatsinks and fans that may not be able to reduce energy consumption while maintaining infrastructure performance for AI and HPC workloads. Liquid cooled systems will be increasingly replacing air cooled solutions for data centers running HPC and AI workloads to meet heat and performance needs.
QCT worked with Intel to develop the QCT QoolRack, a rack-level direct-to-chip cooling solution which meets data center needs with impressive cooling power savings per rack over air cooled solutions, and reduces data centers’ carbon footprint with QCT QoolRack smart management.
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