July 16, 2012
Cloud, as an abstraction, represents a flexible, ubiquitous and consistent platform accessible from anywhere at any time. Last week, the International Workshop on Clouds for Business and Business for Clouds provided the perfect meeting point for both industry and academia to explore the truth of this statement and further discuss how organizations can benefit from the myriad of available cloud models. Read more…
August 18, 2011
A recent DOE workshop that focused on exascale challenges and current gaps in research and ideology provided food for thought for those seeking a "disruptive" approach to this next level of computing. We highlight a handful of the presentations, delivered by some of the most noteworthy researchers and practitioners in the field. Read more…
December 16, 2009
Online, at conferences and in theory, manycore processors and the use of accelerators such as GPUs and FPGAs are being viewed as the next big revolution in high performance computing. If they can live up to the potential, these accelerators could someday transform how computational science is performed, providing much more computing power and energy efficiency. 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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