May 30, 2022
During a special address at ISC today, general manager and vice president of Accelerated Computing at Nvidia, Ian Buck, shared promising news for the future of Read more…
January 26, 2022
Earlier this month, the White House Office of Science and Technology Policy (OSTP) Scientific Integrity Task Force released a report titled “Protecting the In Read more…
January 26, 2021
Nvidia today launched a certified systems program in which participating vendors can offer Nvidia-certified servers with up to eight A100 GPUs. Separate support Read more…
January 11, 2021
Worries about out-of-control AI aren’t new. Many prominent figures have suggested caution when unleashing AI. One quote that keeps cropping up is (roughly) th Read more…
December 16, 2020
A research effort built around an automation platform that connects data and analytics applications will focus on advancing the use of AI and machine learning i Read more…
November 27, 2020
As HPE’s chief technology officer for artificial intelligence, Dr. Eng Lim Goh devotes much of his time talking and consulting with enterprise customers about Read more…
August 27, 2020
The National Science Foundation this week announced the formation of seven national AI institutes aimed at advancing technological innovation and bolstering the economy. AI research by the National Science Foundation will expand to a broader range of businesses across the U.S. economy through five new NSF AI institutes being created at a cost of $100 million. Read more…
July 15, 2020
British hardware designer Graphcore, which emerged from stealth in 2016 to launch its first-generation Intelligence Processing Unit (IPU), has announced its nex 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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