January 19, 2023
Less than 10 months after it was announced, the Columbus-based Ohio Supercomputer Center (OSC) has debuted its Dell-built GPU cluster, “Ascend.” Designed to Read more…
August 18, 2022
Thanks to a grant from the National Science Foundation, Oklahoma State University (OSU) will be building a new supercomputer. The as-yet unnamed system will succeed OSU’s existing system, which is simply named “Pete.” “This is a big moment for OSU and the High Performance Computing Center (HPCC),” said Pratul Agarwal, assistant vice president of research cyberinfrastructure and... Read more…
August 9, 2021
The NSF has announced a new institute, funded to the tune of tens of millions of dollars and supported by a series of major supercomputer centers: ICICLE. “ICICLE,” which is shorthand for the AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment, aims... Read more…
January 7, 2021
Steel is critical to a wide range of humanity’s infrastructure, from cars and trains to skyscrapers and bridges. Corrosion, however, throws a wrench in the wo Read more…
April 14, 2011
The Weekly Top Five features the five biggest HPC stories of the week, condensed for your reading pleasure. This week, we cover Bull's third petascale computing contract; IBM's new POWER7 servers, the first hybrid spintronics computer chips, Bull and Whamcloud's beefed-up Lustre support; and Tilera's latest manycore development tools. 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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