December 8, 2022
The U.S. Department of Defense wielded its JEDI powers to procure public cloud services with a diplomatic end to a feud between Amazon and Google to win the multi-billion dollar contract. The DoD broke up a $9 billion contract between the top four cloud providers – Google, Amazon, Microsoft and Oracle – for the Joint Warfighting Cloud Capability initiative, which will bring the defense branches – Air Force, Army... Read more…
September 2, 2021
With cloud computing as the de facto deployment model in large enterprises, the usage of multiple clouds within a single enterprise has become omnipresent. The Read more…
February 4, 2020
Computer scientists at the University of Michigan have come up with a faster way to schedule cloud microservices via a new algorithm running on a custom processor. The platform, called Q-Zilla, is based on a widely used scheduling algorithm... Read more…
June 28, 2018
HPC in the cloud is one of those “insanely great” ideas that, failing to fire, year after year recedes before our expectations. Until, that is, last year, a Read more…
April 5, 2017
IBM announced today that it will be adding Nvidia P100 graphics processors to its Bluemix cloud later this month, becoming the "first major global cloud vendor Read more…
February 22, 2017
Just what constitutes HPC and how best to support it is a keen topic currently. A new paper posted last week on arXiv.org – Rethinking HPC Platforms: Challeng Read more…
January 26, 2017
Earlier this month, Cray announced that tech veteran Stathis Papaefstathiou had joined the ranks of the iconic supercomputing company. As senior vice president Read more…
September 7, 2016
If bigger is better, the new IT behemoth Dell Technologies Inc. that combines the holdings of Dell and storage leader EMC Corp. fits the bill with the completion a $60 billion merger of cloud, storage, virtualization and hardware components that will seek to be all things to all enterprise IT customers. 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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