April 28, 2022
Roughly a year ago the National Energy Research Scientific Computing Center (NERSC) launched Perlmutter, which was hailed at the time as the “world’s fastest AI supercomputer” by Nvidia whose GPUs provide much of Perlmutter’s power. Since then, NERSC has been aggressively ramping up its mixed AI-HPC workload capability – software, early science apps... Read more…
June 28, 2021
The 57th Top500, revealed today from the ISC 2021 digital event, showcases many of the same systems as the previous edition, with Fugaku holding its significant lead and only one new entrant in the top 10 cohort: the Perlmutter system at the DOE Lawrence Berkeley National Laboratory enters the list at number five with 65.69 Linpack petaflops. Perlmutter is the largest... Read more…
May 27, 2021
A ribbon-cutting ceremony held virtually at Berkeley Lab's National Energy Research Scientific Computing Center (NERSC) today marked the official launch of Perlmutter – aka NERSC-9 – the GPU-accelerated supercomputer built by HPE in partnership with Nvidia and AMD. Read more…
August 20, 2020
Nvidia has announced its Q2 2021 earnings: $3.87 billion, outperforming analyst expectations amid a global pandemic and showing signs of a successful (and ongoing) reorientation of its business strategy. Compared to Q2 2020, earnings were up 50 percent; compared to Q1 2021, up 26 percent. 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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