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Forget Zettascale, Trouble is Brewing in Scaling Exascale Supercomputers

November 14, 2023

In 2021, Intel famously declared its goal to get to zettascale supercomputing by 2027, or scaling today's Exascale computers by 1,000 times. Moving forward t Read more…

Latest CXL Spec Lined up to Support DDR6

November 14, 2023

In a few years, servers may not look the same as memory, storage, and accelerators move to separate enclosures. An interconnect called CXL is making that possib Read more…

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Aurora the Survivor: Exascale Supercomputer Arrives After Eight Years of Doom

November 13, 2023

Many products were sacrificed in the eight years it took to bring the Aurora supercomputer to life. Nonetheless, anticipation for the second U.S.Exascale system Read more…

More Cores, Higher Prices: Intel’s Server Revenue Expected to Increase 

November 3, 2023

Intel's data center business is recovering, showing healthy margins despite growing competitive pressure.  The healthy margins result from higher average se Read more…

Intel Getting Squeezed and Benefiting from Nvidia GPU Shortages

September 10, 2023

The shortage of Nvidia's GPUs has customers searching for scrap heap to kickstart makeshift AI projects, and Intel is benefitting from it. Customers seeking qui Read more…

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Scientific Computing Options Maturing in the Cloud

August 31, 2023

Supercomputing remains largely an on-premises affair for many reasons that include horsepower, security, and system management. Companies need more time to move Read more…

Google’s New Supercomputing H3 VMs Are Faster, but GPUs Are Absent

August 16, 2023

Google Cloud's new H3 virtual machine instances provide a big jump in performance thanks to a focus on network performance, but with restrictions: it only suppo Read more…

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Argonne Places Aurora’s “Golden Blade” as Much Awaited Supercomputer Gathers Steam 

July 24, 2023

While not a golden HPC spike, the final blade has been loaded into Aurora. As mentioned previously, final preparation of Aurora is underway. Aurora the "almost Read more…

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Whitepaper

Penguin Computing Scyld Cloud Central™: A New Cloud-First Approach to HPC and AI Workloads

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.

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Whitepaper

QCT POD- An Adaptive Converged Platform for HPC and AI

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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