May 4, 2022
With climate change dramatically accelerating, scientists continue to struggle to predict the shape of a substantially warmer world. This is particularly true with regard to weather and storms, which – due to the granular, mercurial processes at play – elude climate scientists more than, say, ice melt projections. Recently, a climate study commissioned by the City and County of San Francisco... Read more…
March 22, 2022
An accurate digital twin can be a boon to scientific endeavors, from recreating individual buildings in a city to understand energy use to recreating the Earth’s climate system to understand the effects of policies on climate change. At GTC21, Nvidia made waves by announcing that its Modulus framework for physics-based ML models and its... Read more…
March 18, 2022
The El Niño climate pattern, when it occurs, presents as warmer-than-usual water in the equatorial region of the Pacific Ocean. The changes in temperature and rainfall that ensue from this warmer water can affect natural disasters, crop yields and even the proliferation of disease — but El Niño’s variations can be hard to predict. Recently, researchers at the... Read more…
February 28, 2022
Permafrost covers more than 10 percent of the planet and stores vast amounts of carbon in frozen soil, making it a crucial—and dangerous—carbon sink. Unders Read more…
February 14, 2022
As climate change continues to accelerate, many scientists are increasingly worried that the world will not be able to reduce its reliance on fossil fuels quick Read more…
November 11, 2021
Nvidia is continuing to expand enterprise digital twin capabilities and features in its Nvidia Omniverse 3D virtual world design platform, but the company’s n Read more…
September 10, 2021
Earth’s climate is, to put it mildly, not in a good place. In the wake of a damning report from the Intergovernmental Panel on Climate Change (IPCC), scientis Read more…
August 19, 2021
As the world barrels toward a dark climate future, many people’s hopes increasingly rest with major technological breakthroughs – including, perhaps most fa 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.
© 2022 HPCwire. All Rights Reserved. A Tabor Communications Publication
HPCwire is a registered trademark of Tabor Communications, Inc. Use of this site is governed by our Terms of Use and Privacy Policy.
Reproduction in whole or in part in any form or medium without express written permission of Tabor Communications, Inc. is prohibited.