Spanish Researchers Introduce HPC-Ready COVID-19 Spread Simulator

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…

Stony Brook Researchers to Run COVID-19 Simulations on Supercomputers

April 6, 2020

A wide range of supercomputers are crunching the infamous “spike” protein of the novel coronavirus, from Summit more than a month ago to [email protected] to a Russian cluster just a week ago. Read more…

Russian Supercomputer Employed to Develop COVID-19 Treatment

March 31, 2020

From Summit to [email protected], global supercomputing is continuing to mobilize against the coronavirus pandemic by crunching massive problems like epidemiology, t Read more…

LLNL Leverages Supercomputing to Identify COVID-19 Antibody Candidates

March 30, 2020

As COVID-19 sweeps the globe to devastating effect, supercomputers around the world are spinning up to fight back by working on diagnosis, epidemiology, treatme Read more…

What’s New in Computing vs. COVID-19: White House Initiative, Frontera, RIKEN & More

March 25, 2020

Supercomputing, big data and artificial intelligence are crucial tools in the fight against the coronavirus pandemic. Around the world, researchers, corporation Read more…

Global Supercomputing Is Mobilizing Against COVID-19

March 12, 2020

Tech has been taking some heavy losses from the coronavirus pandemic. Global supply chains have been disrupted, virtually every major tech conference taking place over the next few months has been canceled... Read more…

Summit Joins the Fight Against the Coronavirus

March 6, 2020

With the coronavirus sweeping the globe, tech conferences and supply chains are being hit hard – but now, tech is hitting back. Oak Ridge National Laboratory 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

HPCwire Product Showcase

Subscribe to the Monthly
Technology Product Showcase:

HPCwire