May 25, 2023
ISC’s closing keynote this year was given jointly by a pair of distinguished HPC leaders, Thomas Sterling of Indiana University and Estela Suarez of Jülich S Read more…
June 2, 2020
Indiana University has been awarded a $10 million NSF grant to build ‘Jetstream 2,’ a cloud computing system that will provide 8 aggregate petaflops of comp Read more…
February 20, 2020
With water stressors on the rise, understanding and protecting water supplies is more important than ever. Now, a team of researchers from Indiana University ha Read more…
January 24, 2020
After six months of celebrations, Indiana University (IU) officially marked its bicentennial on Monday – and it saved the best for last, inaugurating Big Red Read more…
February 27, 2017
The US advances in high performance computing over many decades have been a product of the combined engagement of research centers in industry, government labs, Read more…
August 31, 2016
Jetstream, the expansive NSF-funded cyberinfrastructure project intended in large measure to serve the long tail of science will officially launch tomorrow (9/1 Read more…
May 21, 2015
Improving HPC access to the so-called long tail of science is an ongoing NSF priority. Several initiatives, funded at least in part by NSF, are underway and one Read more…
August 22, 2013
The National Center for Genome Analysis Support (NCGAS) at Indiana University has expanded its services to help biologists use high-performance computing, NCGAS’ manager announced at a July 23 presentation at the XSEDE13 conference in San Diego. Read more…
Making the Most of Today’s Cloud-First Approach to Running HPC and AI Workloads With Penguin Scyld Cloud Central™
Bursting to cloud has long been used to complement on-premises HPC capacity to meet variable compute demands. But in today’s age of cloud, many workloads start on the cloud with little IT or corporate oversight. What is needed is a way to operationalize the use of these cloud resources so that users get the compute power they need when they need it, but with constraints that take costs and the efficient use of existing compute power into account. Download this special report to learn more about this topic.
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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