June 22, 2020
A new Top500 champ was unveiled today. Supercomputer Fugaku, the pride of Japan and the namesake of Mount Fuji, vaulted to the top of the 55th edition of the To Read more…
April 18, 2016
The fifth annual Asia Student Supercomputer Challenge (ASC16) got off to an exciting start this morning at the Huazhong University of Science and Technology (HUST) in Wuhan, the capital of Hubei province, China. Read more…
July 15, 2015
The TOP500 organizers published their 45th twice-yearly list this week in tandem with ISC 2015 in Frankfurt, Germany. What is becoming increasingly clear, as o Read more…
December 1, 2014
One of the most heated debates in supercomputing circles over the last several years has been around the continued validity of the current basis of the Top 500 Read more…
June 26, 2014
One of the undisputed themes at ISC14 was the continued speculation about how the Top500 Linpack benchmark will keep pace with evolving system and application d Read more…
January 6, 2014
Over the last few years in particular, discussions about the limitations of the current measurement for the Top500, the LINPACK benchmark, have echoed louder. T Read more…
November 28, 2013
This year at SC13 we counted over 100 HPC-specific announcements that hit the wires over the course of the week, many of which were from vendors, organizations Read more…
November 22, 2013
The latest TOP500 list of the world's fastest systems was recently published during SC13 and at first glance not much has changed since the previous list releas 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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