April 12, 2023
Generative AI is taking the tech world – and the broader world – by storm, but relatively little word has come out of the major supercomputer centers amid t Read more…
March 13, 2023
CSC, Finland’s scientific IT center, is now most famous for its LUMI system, launched in partnership with EuroHPC and landing third on the most recent Top500 Read more…
February 1, 2023
“LUMI is officially here!” proclaimed the headline of a blog post written by Pekka Manninen, director of science and technology for CSC, Finland’s state-o Read more…
January 25, 2023
The immediate impacts of climate change and land-use change are severe enough, but increasingly, researchers are warning that large enough changes can then snow Read more…
October 19, 2022
In late 2020, the European Union announced plans for its Destination Earth (“DestinE”) moonshot project to create multiple digital twins of Earth, including Read more…
June 8, 2022
Back in 2008, the U.S. Defense Advanced Research Projects Agency (DARPA) set an ambitious target: an exascale supercomputer in a 20-megawatt envelope. That targ 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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