November 20, 2023
Accurately calculating interactions among electrons has been a significant obstacle to reliable material exploration and design through computer modeling. Recen Read more…
April 27, 2023
Oak Ridge National Laboratory's exascale Frontier supercomputer – the first public exascale system in the world – debuted almost a year ago. Now, more and m Read more…
April 7, 2023
The close of the 2023 Winter Classic Invitational Student Cluster Competition is coming up fast, and I have to get some material out to you, our vast viewing au Read more…
January 20, 2023
UT-Battelle, which manages Oak Ridge National Laboratory (ORNL) for the U.S. Department of Energy, has appointed Jeff Smith as interim director for the lab as t Read more…
December 2, 2022
The Frontier supercomputer – still fresh off its chart-topping 1.1 Linpack exaflops run and maintaining its number-one spot on the Top500 list – was still v Read more…
November 14, 2022
The 60th edition of the Top500 list, revealed today at SC22 in Dallas, Texas, showcases many of the same systems as the previous installment, with Frontier stil Read more…
September 19, 2022
The are many issues in quantum computing today – among the more pressing are benchmarking, networking and development of hybrid classical-quantum approaches. Read more…
August 17, 2022
“It is my privilege to welcome you to the dedication of Frontier, the supercomputer that broke the exascale barrier.” That was the introduction by Oak Ridge National Laboratory Director Thomas Zacharia, at a small, public event on August 17 to officially dedicate the supercomputer, which in May became the first system to achieve over 1.0 exaflops of 64-bit performance on the... 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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