November 24, 2022
As the 2022 Great American Supercomputing Road Trip carries on, it’s Sandia’s turn. It was a bright sunny day when I rolled into Albuquerque after a high-sp Read more…
March 11, 2022
Even the toughest materials on Earth are vulnerable under the most extreme conditions. A supercomputer simulation visualized just that by cracking, melting and Read more…
October 2, 2020
After facing setbacks in its semiconductor execution, including a delay in its 7nm node, Intel is announcing two partnerships with U.S. national labs that reaffirm its commitment to advanced computing: first, a partnership with the DOE and the national labs that focuses on developing next-generation semiconductors and manufacturing techniques; and second... Read more…
February 24, 2020
A new cooling method for supercomputer systems is picking up steam – literally. After saving millions of gallons of water at a National Renewable Energy Laboratory (NREL) datacenter, this innovative approach, called... Read more…
October 25, 2018
Processing the high volumes of water necessary to water cool HPC systems can pose serious difficulties. Now, an engineer from Sandia National Laboratories is being recognized for finding a way to halve the water used by a datacenter at the National Renewable Energy Laboratory (NREL). Read more…
March 14, 2016
At the 2016 ISC High Performance conference this June, distinguished Sandia computational combustion scientist Jacqueline H. Chen will deliver a keynote highlighting the latest advances in combustion modeling and simulation. In this interesting and informative Q&A, Chen describes the challenges and opportunities involved in preparing combustion codes for exascale machines. Read more…
June 24, 2015
Sandia National Laboratories has named Jill Hruby to its highest post. When Hruby officially take the reins of the nation's largest laboratory on July 17, she b Read more…
September 10, 2014
Sometimes the impetus behind large-scale computing endeavors can be surprising. Take the case of nuts and bolts. Given the right context, these everyday objects Read more…
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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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