April 7, 2022
For many people, COVID-19 has highlighted the role of science in fighting disease around the world. From a young scientist's perspective, the thrill of figuring Read more…
March 17, 2022
In late 2020, Los Alamos National Laboratory (LANL) — which operates under the Department of Energy’s National Nuclear Security Administration (NNSA) — co Read more…
March 10, 2022
As the world’s students return to classrooms, a general unease remains over the dynamics of Covid transmission even as the omicron variant settles into a lull Read more…
March 9, 2022
The world is (once again) returning to some semblance of pre-pandemic life as the omicron variant wanes. Many are now wondering about the risk calculus for popu Read more…
March 1, 2022
One of the very few serious side effects to emerge from any of the (broadly miraculous) Covid-19 vaccines has been the emergence of blood clotting, common only Read more…
February 3, 2022
Just about a month ago, Pfizer scored its second huge win of the pandemic when the U.S. Food and Drug Administration issued another emergency use authorization Read more…
February 2, 2022
Increasingly, SARS-CoV-2 is engaged in a vicious game of a whack-a-mole with researchers, with new variants like Delta and Omicron wrong-footing medical profess Read more…
January 10, 2022
Conduit, created by MIT graduate (and current CEO) Ryan Robinson, was founded in 2017. But it might not have been until a few years later, when the pandemic started, that Conduit may have found its true calling. While Conduit’s commercial division is busy developing a Covid-19 test called nanoSPLASH, its nonprofit arm was granted access to... Read more…
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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