December 16, 2022
The European Union will release €270 million in funds as it tries to attain technology independence by building chips based on the open RISC-V instruction set Read more…
November 18, 2022
One of the original RISC-V designers this week boldly predicted that the open architecture will surpass rival chip architectures in performance. "The prediction is two or three years we'll be surpassing your architectures and available performance with... Read more…
June 16, 2022
The long-troubled, hotly anticipated MareNostrum 5 supercomputer finally has a vendor: Atos, which will be supplying a system that includes both Nvidia and Inte Read more…
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…
February 3, 2022
Just about a month ago, Pfizer scored its second huge win of the pandemic when the U.S. Food and Drug Administration issued another emergency use authorization Read more…
December 21, 2021
Call it a New Year’s resolution: the EuroHPC Joint Undertaking—which serves as the concerted supercomputing play of the European Union—has issued a new ca 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…
February 4, 2021
Over ten months have passed since the Partnership for Advanced Computing in Europe (PRACE) announced that it would be fast-tracking proposals to use supercomputing resources to fight the then-novel coronavirus beginning to sweep across the globe. Just a month later, PRACE... Read more…
Five Recommendations to Optimize Data Pipelines
When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.
With so many applications and diverse requirements for data types, management systems, workloads, and compliance regulations, these challenges are only amplified. Without a clear, continuous flow of data throughout the AI data lifecycle, AI models can perform poorly or even dangerously.
To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.
Karlsruhe Institute of Technology (KIT) is an elite public research university located in Karlsruhe, Germany and is engaged in a broad range of disciplines in natural sciences, engineering, economics, humanities, and social sciences. For institutions like KIT, HPC has become indispensable to cutting-edge research in these areas.
KIT’s HoreKa supercomputer supports hundreds of research initiatives including a project aimed at predicting when the Earth’s ozone layer will be fully healed. With HoreKa, projects like these can process larger amounts of data enabling researchers to deepen their understanding of highly complex natural processes.
Read this case study to learn how KIT implemented their supercomputer powered by Lenovo ThinkSystem servers, featuring Lenovo Neptune™ liquid cooling technology, to attain higher performance while reducing power consumption.
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