August 3, 2022
Rare, severe flooding struck both Kentucky and Missouri in the last week alone — and with climate change accelerating, such events are likely to continue. However, flood modeling remains computationally expensive. Now, researchers from Oak Ridge National Laboratory (ORNL) and Tennessee Technological University have created the TRITON toolkit, which leverages... Read more…
February 18, 2015
With the steady progression of climate change, the rate of flooding across the globe is only expected to rise. But according to a new study from Cornell Univers 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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