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…
April 16, 2022
Over the course of the pandemic, the crucial role of high-performance computing and artificial intelligence in treating disease has become abundantly clear. Even as viral disease sits squarely in supercomputing’s crosshairs, however, mental illness has remained relatively foreign to the computational medicine world. Now, a collaboration between Oak Ridge National... Read more…
May 14, 2020
A new set of AI models released by the U.S. National Institutes of Health (NIH) in collaboration with Nvidia is designed to help clinicians detect and examine n Read more…
April 12, 2019
In this Expert Insights article from the SC19 blog, Ari E. Berman, Ph.D. -- vice president of consulting at BioTeam, Inc. -- discusses the intersection of HPC a Read more…
May 9, 2016
Perhaps more than any other, the healthcare industry is undergoing dramatic upheaval. Changes in reimbursement models, continued merger and acquisition activity Read more…
May 19, 2014
Based on the number of prominent research projects currently in the works, 2014 could be a tipping point for the field of personalized medicine and in silico re Read more…
September 30, 2013
Computing and simulation methods have had a transformative effect on science and research. At a recent conference, prominent experts in biomedicine gathered to discuss HPC's role in transforming the field. Read more…
February 17, 2011
IBM super beats humans at their own game. Next up: calling Doctor Watson. 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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