March 14, 2017
Another Japanese supercomputing project was revealed this week, this one from emerging supercomputer maker, ExaScaler Inc., and Keio University. The partners are working on an original supercomputer design with exascale aspirations. Read more…
September 23, 2013
"Today you buy Tylenol (500mg for almost everyone), but it doesn’t positively impact everybody because genetically we are all different,” says Rajiv Nema, Director of Marketing at SAP (HANA, Mobile Innovations). “$70B is spent on cancer medicine in the United States alone, and 40% – almost $30B – of that is wasted because the medicine does not positively impact the patient. " Read more…
September 10, 2012
Today, organizations are facing an exponential increase in the amount of data being created. The ability to successfully manage this data, coupled with the growing complexity of storage infrastructures is creating significant challenges for IT managers. While the cost of maintaining storage infrastructures continues to increase, headcount and budget remains fixed. What is needed is an advanced management platform that reduces the cost and complexity of storage management. 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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