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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…

Cerebras Has Big Plans for Big AI Chips: Build Your Own Cloud

July 20, 2023

Hyping an AI chip is one thing, but proving its usability in the commercial market is a bigger challenge.   Some AI chip companies -- which are still prov Read more…

Aurora’s 10,624 Blades in Place as Exascale System Nears Completion

June 22, 2023

Aurora, one of the first three U.S. exascale supercomputers, has not had a straightforward path to installation and operation. The system has been repeatedly re Read more…

Meet TempoQuest, a Startup Bringing Weather Code Into the Accelerated Era

April 18, 2023

Weather and climate applications are some of the most important for high-performance computing, often serving as raisons d'être and flagship workloads for the Read more…

Theta Supercomputer Powers Bioenergy Research

March 2, 2023

Researchers have been working for many decades to convert abundant, renewable biomass – e.g. crops and algae – into viable alternatives to nonrenewable, dir Read more…

Electric Utility Leverages Argonne Supercomputing for Climate Planning

January 19, 2023

Traditional utility planning based on more or less stable seasons year-over-year isn’t cutting it any more – and supercomputing is key to helping utilities Read more…

Gordon Bell Special Prize Goes to LLM-Based Covid Variant Prediction

November 17, 2022

For three years running, ACM has awarded not only its long-standing Gordon Bell Prize (read more about this year’s winner here!) but also its Gordon Bell Spec Read more…

Gordon Bell Nominee Used LLMs, HPC, Cerebras CS-2 to Predict Covid Variants

November 17, 2022

Large language models (LLMs) have taken the tech world by storm over the past couple of years, dominating headlines with their ability to generate convincing hu 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.

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