Inside an Ambitious Play to Shake Up HPC and the Texas Grid

August 2, 2022

With HPC demand ballooning and Moore’s law slowing down, modern supercomputers often undergo exhaustive efficiency efforts aimed at ameliorating exorbitant energy bills and correspondingly large carbon footprints. Others, meanwhile, are asking: is min-maxing the best option, or are there easier paths to reducing the bills and emissions of... Read more…

Smart Grid Sets HPC Course

October 7, 2014

When the power goes out, customers aren’t the only ones kept in the dark. The outage can come as a surprise to electricity providers too, which helps explain Read more…

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Whitepaper

End-to-End Support Toward Accelerating Discovery and Innovation with a Converged HPC and AI Supercomputer

A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.

This paper describes how Quanta Cloud Technology (QCT), a long-time Intel® partner, developed the Taiwania 2 and Taiwania 3 supercomputers to meet the research needs of the Taiwan’s academic, industrial, and enterprise users. The Taiwan National Center for High-Performance Computing (NCHC) selected QCT for their expertise in building HPC/AI supercomputers and providing worldwide end-to-end support for solutions from system design, through integration, benchmarking and installation for end users and system integrators to ensure customer success.

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