March 16, 2022
Intel has announced that it is making an “initial” €33 billion (~$36 billion) investment across the semiconductor value chain in Europe. The investment — which spans R&D, manufacturing and packaging — comes at a time when sovereignty is, more than ever, a headline priority for the continent. What was announced? A “Silicon Junction” in Germany with two new fabs... Read more…
June 28, 2021
Last October, the executive director of the EuroHPC JU – Anders Dam Jensen – said that with respect to MareNostrum 5 (the final pre-exascale EuroHPC system), “the tendering process was in its very final phase” and that “there would be announcements on that in the coming weeks.” Eight months later, the system’s status is still set to “it’s complicated.” Now, thanks to a brief presentation from... Read more…
May 20, 2021
About two years ago, the EuroHPC Joint Undertaking (JU) selected eight host countries for its first eight systems. Now, those trees are bearing fruit – Sloven Read more…
January 29, 2021
Nitrogen dioxide (NO2) pollution, which largely stems from fossil fuel combustion, can have serious impacts on human health, including decreased lung function, Read more…
April 7, 2020
With governments in a mad scramble to identify the policies most likely to curb the spread of the pandemic without unnecessarily crippling the global economy, r 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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