Nvidia, HPE Announce Superchip-Powered ‘Isambard 3’ Supercomputer

May 21, 2023

Nvidia is ramping up deployment of its Superchips – amalgamated chips that include either two CPUs (the Grace CPU Superchip) or a CPU and a GPU (the Grace Hop Read more…

Q&A with HPE’s Trish Damkroger, an HPCwire Person to Watch in 2023

April 29, 2023

HPCwire 2023 Person to Watch Trish Damkroger is a long-time HPC enthusiast and seasoned exec hailing from a 17 year tenure at Lawrence Livermore Lab, followed by five years of leading HPC strategy at Intel, before one year ago making the move to HPE (where she is Chief Product Officer and Senior Vice President, HPC, AI & Labs). Read more…

2023 Winter Classic Finale – VIDEO RECAP

April 24, 2023

February 14th to April 15th – it’s been a long run for the 2023 Winter Classic Student Cluster Competition. 63 students from HBCU and HSI schools learned ha Read more…

HPE Taps VAST Data For Fast File Storage on GreenLake

April 4, 2023

HPE today rolled out its first file storage offering for GreenLake, its everything-as-a-service offering. The new HPE GreenLake for File Storage offering pairs Read more…

2023 Winter Classic: Mentor Interview, HPE

March 14, 2023

In our most recent update, “Triumph and Tragedy with HPL/HPCG”, we detailed how our dozen 2023 Winter Classic Invitational cluster competition teams dealt with their Linpack/HPCG module, mentored by HPE. In this episode of our incredibly popular 2023 Winter Classic Studio Update Show, we... Read more…

HPC Career Notes: February 2023 Edition

February 1, 2023

In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the high-performance computing community. Whether it� Read more…

Hungary Launches Komondor, Its Most Powerful Supercomputer

January 19, 2023

Hungary’s Government Information Technology Development Agency (KIFÜ) has inaugurated the country’s most powerful supercomputer yet: Komondor, named for a Read more…

From Exasperation to Exascale: HPE’s Nic Dubé on Frontier’s Untold Story

December 2, 2022

The Frontier supercomputer – still fresh off its chart-topping 1.1 Linpack exaflops run and maintaining its number-one spot on the Top500 list – was still v Read more…

  • arrow
  • Click Here for More Headlines
  • arrow

Whitepaper

Powering Up Automotive Simulation: Why Migrating to the Cloud is a Game Changer

The increasing complexity of electric vehicles result in large and complex computational models for simulations that demand enormous compute resources. On-premises high-performance computing (HPC) clusters and computer-aided engineering (CAE) tools are commonly used but some limitations occur when the models are too big or when multiple iterations need to be done in a very short term, leading to a lack of available compute resources. In this hybrid approach, cloud computing offers a flexible and cost-effective alternative, allowing engineers to utilize the latest hardware and software on-demand. Ansys Gateway powered by AWS, a cloud-based simulation software platform, drives efficiencies in automotive engineering simulations. Complete Ansys simulation and CAE/CAD developments can be managed in the cloud with access to AWS’s latest hardware instances, providing significant runtime acceleration.

Two recent studies show how Ansys Gateway powered by AWS can balance run times and costs, making it a compelling solution for automotive development.

Download Now

Sponsored by ANSYS

Whitepaper

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

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 TotalCAE

Advanced Scale Career Development & Workforce Enhancement Center

Featured Advanced Scale Jobs:

SUBSCRIBE for monthly job listings and articles on HPC careers.

HPCwire Resource Library

HPCwire Product Showcase

Subscribe to the Monthly
Technology Product Showcase:

HPCwire