August 7, 2015
The explosive growth in data coming out of experiments in cosmology, particle physics, bioinformatics and nuclear physics is pushing computational scientists to Read more…
December 11, 2014
Already the world's most energy-efficient petascale supercomputer, "Piz Daint" – the Cray XC30 system installed at the Swiss National Supercomputing Centre (C Read more…
February 16, 2014
Weather forecasting has come a long way since June of 1977, when the European Centre for Medium Range Weather Forecasts (ECMWF) first contracted Cray to deliver Read more…
September 11, 2013
The Swiss National Supercomputing Centre (CSCS) is rolling out the second half of its Cray XC30 supercomputer, the first to employ both Intel Xeon processors and NVIDA GPUs. Read more…
June 17, 2013
The advent of low-power mobile processors and cloud delivery models is changing the economics of computing. But just as an economy car is good at different things than a full size truck, an HPC workload still has certain computing demands that neither the fastest smartphone nor the most elastic cloud cluster can fulfill. Read more…
May 7, 2013
Seattle-based supercomputer maker Cray has revealed the latest addition to its portfolio: the Cray XC30-AC (air-cooled) supercomputer. The new product leverages Cray's XC30 flagship technology to address technical enterprise price points and new classes of users. 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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