February 1, 2017
On Tuesday, IBM announced that its World Community Grid will provide free virtual supercomputing power to a global team of scientists engaged in the fight again Read more…
May 31, 2016
Univa today announced general availability of Grid Engine 8.4.0. The latest version of Grid Engine includes many new features including expanded support for Docker containers as well as “preview support” for Intel’s latest Xeon Phi code named Knights Landing processor. Univa also reports fixing more than 80 prior issues. Leading the container enhancements, users can now automatically dispatch and run jobs in Docker containers, from a user specified Docker image. Read more…
December 4, 2014
IBM announced that its World Community Grid, now "powered by its SoftLayer cloud," will provide free virtual supercomputing power to The Scripps Research Instit 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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