Xilinx Announces Winners of First Adaptive Computing Challenge

January 20, 2021

Last July, Xilinx announced the first-ever Xilinx Adaptive Computing Challenge. Run in partnership with Hackster.io, the challenge tasked developers with findin Read more…

A Beginner’s Guide to the ASC19 Finals

April 22, 2019

Three thousand watts. That's how much power the competitors in the 2019 ASC Student Supercomputer Challenge here in Dalian, China, have to work with. Everybody Read more…

ASC16 Kicks Off in Wuhan, China: 16 Teams, $40k in Prizes

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…

Windows Azure Ready to Take on AWS

April 17, 2013

After a lengthy incubation phase, Microsoft is finally ready to release its IaaS product into the wild. AWS, look out. Read more…

Information Technology Is Not the Savior of the Unemployed

July 16, 2010

The IT recovery is underway, but it left the jobs behind. Read more…

  • arrow
  • Click Here for More Headlines
  • arrow

Whitepaper

Streamlining AI Data Management

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.

Download Now

Sponsored by DDN

Whitepaper

Taking research further with extraordinary compute power and 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.

Download Now

Sponsored by Lenovo

Advanced Scale Career Development & Workforce Enhancement Center

Featured Advanced Scale Jobs:

Receive the Monthly
Advanced Computing Job Bank Resource:

HPCwire Resource Library

See More in the Resource Library

HPCwire Product Showcase

Subscribe to the Monthly
Technology Product Showcase:

© 2023 HPCwire. All Rights Reserved. A Tabor Communications Publication

HPCwire is a registered trademark of Tabor Communications, Inc. Use of this site is governed by our Terms of Use and Privacy Policy.

Reproduction in whole or in part in any form or medium without express written permission of Tabor Communications, Inc. is prohibited.

HPCwire