Air Force Research Laboratory Unveils First Shared, Classified DoD HPC Capability

February 28, 2019

In a ceremony on Tuesday, the Air Force Research Laboratory unveiled four new computing clusters, providing the capability for what it is calling the first-ever Read more…

Future Portal to Defense Department Supercomputer Use?

August 19, 2010

The Army Research Laboratory (ARL) Defense Department Supercomputing Resource Center (DSRC) conducts research with processing power at 350 trillion calculations per second. If the director of the ARL DSRC, Charles, Nietubicz has his wish, that capability will someday be delivered a web portal, and a very secure one, of course. Read more…

  • arrow
  • Click Here for More Headlines
  • arrow

Whitepaper

How to Save 80% with TotalCAE Managed On-prem Clusters and Cloud

Many organizations looking to meet their CAE HPC requirements focus on the HPC on-premises hardware or cloud options. But one surprise that many find is that the bulk of their HPC total cost of ownership (TCO) comes from the complexity of integrating HPC software with CAE applications and in perfectly orchestrating the many technologies to use the hardware and CAE licenses optimally.

This white paper discusses how TotalCAE can significantly reduce TCO by offering turnkey, on-premises HPC systems and public cloud HPC solutions specifically for CAE simulation workloads that include integrated technology and software. The solutions, which TotalCAE fully manages, have allowed its clients to deploy hybrid HPC environments that deliver significant savings of up to 80%, faster-running workflows, and peace of mind since their entire solution is managed by professionals well-versed in HPC, cloud, and CAE technologies.

Download Now

Sponsored by TotalCAE

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

Advanced Scale Career Development & Workforce Enhancement Center

Featured Advanced Scale Jobs:

SUBSCRIBE for monthly job listings and articles on HPC careers.

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