January 7, 2023
The Galician Supercomputing Center (CESGA) – located in northwestern Spain – has announced that it will acquire a quantum computer, valued at €14 million 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…
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…
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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