August 8, 2022
The combined stressors of Covid-19 and the invasion of Ukraine have sent every major nation scrambling to reinforce its mission-critical supply chains – including and in particular the semiconductor supply chain. In the U.S. – which, like much of the world, relies on Asia for its semiconductors – those efforts have taken shape through the recently... Read more…
July 19, 2022
The U.S. Senate on Tuesday passed a major hurdle that will open up close to $52 billion in grants for the semiconductor industry to boost manufacturing, supply chain and research and development. U.S. senators voted 64-34 in favor of advancing the CHIPS Act, which sets the stage for the final consideration... Read more…
July 11, 2022
The supply chain for chips, already extraordinarily fraught with logistical and geopolitical impediments, is about to face another. According to a report from t Read more…
November 10, 2021
In March 2020, the near-term future of the high-performance computing market was suddenly thrust, like so many things, into turmoil and uncertainty. Intersect36 Read more…
February 24, 2021
U.S. President Biden signed an executive order late today calling for a 100-day review of key supply chains including semiconductors, large capacity batteries, Read more…
Data growth is relentless and inevitable, as data has come to define many aspects of research computing. Simulation data, ever more sophisticated sensor data, and now the rise of machine learning all contribute to the accelerating pace of data growth.
Learn how archive is different than backup, how much data should be archived, and how to architect a comprehensive HSM solution using new data management technologies that can handle this accelerating growth today and well into the future.
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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