May 23, 2023
MareNostrum 5, the next-generation supercomputer at the Barcelona Supercomputing Center (BSC) and one of EuroHPC’s flagship pre-exascale systems, has had a di Read more…
December 14, 2022
Texas Advanced Computing Center Director Dan Stanzione and HPCwire Managing Editor Tiffany Trader met in Dallas to discuss the biggest trends in HPC and the hot Read more…
October 13, 2022
Two years have passed since the debut of Fugaku, Japan's top supercomputer, and it is already known for its numerous achievements in simulations for Covid-19 measures. Meanwhile, the Ministry of Education, Culture, Sports, Science and Technology (MEXT) has already started to consider... Read more…
July 1, 2022
HPCwire takes you inside the Frontier datacenter at DOE's Oak Ridge National Laboratory (ORNL) in Oak Ridge, Tenn., for an interview with Frontier Project Direc Read more…
May 26, 2022
HPCwire presents our interview with Eric Eppe, head of portfolio & solutions, HPC & Quantum at Atos, and an HPCwire 2022 Person to Watch. In this exclusive Q&A, Eppe recounts Atos' major milestones from the past year and previews what's in store for the year ahead. Exascale computing, quantum hybridization and decarbonization are focus areas for the company -- and having won five out of the seven EuroHPC system... Read more…
May 17, 2022
That supercomputers produce impactful, lasting value is a basic tenet among the HPC community. To make the point more formally, Hyperion Research has issued a n 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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