October 19, 2023
It is safe to say that ARM isn't a scrappy startup that was once the pride of the UK. The US-based IPO made the chip designer a big-game chip player, and the Read more…
June 22, 2023
AWS has finally made available its Arm-based CPUs available for supercomputing – but it's not a chip you can buy off the shelf. The chip, Graviton3E, is acces Read more…
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…
November 30, 2022
AWS has announced three new Amazon Elastic Compute Cloud (Amazon EC2) instances powered by AWS-designed chips, as well as several new Intel-powered instances � Read more…
August 31, 2022
The Arm chip architecture took the mobile world by storm in 2007 after the release of the first iPhone. Just two years later, an Amazon executive who now leads the company’s semiconductor development, believed Arm would eventually be a big part of server-side computing. “I’ve observed, over the years what happens in mobile ends up happening in servers. Read more…
March 10, 2022
Add Amazon Web Services to the growing list of companies (tech and otherwise) that are curtailing business with Russia in opposition to President Putin’s invasion of Ukraine. As reported in the New York Times and then by Amazon itself, Amazon Web Services is blocking new sign-ups from Russia and Belarus. Existing customers are not impacted. “We’ve suspended shipment of retail... Read more…
October 27, 2021
As machine learning becomes a dominating use case for local and cloud computing, companies are racing to provide solutions specifically optimized and accelerate Read more…
September 10, 2021
Earth’s climate is, to put it mildly, not in a good place. In the wake of a damning report from the Intergovernmental Panel on Climate Change (IPCC), scientis 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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