Datanami
EnterpriseAI
HPCwire Japan
QCwire
HPC & AI Wall Street
ISC BOF: Euro Quantum Community Tackles HPC-QC Integration, Broad User Access
May 23, 2023
Europe has clearly jumped into the global race to achieve practical quantum, though perhaps a step later (by a year or two) than the U.S. and China. Impressivel Read more…
MareNostrum 5 Installation Begins
February 27, 2023
Nearly four years ago, EuroHPC announced sites for eight new supercomputers as the nascent initiative debuted. MareNostrum 5, the third of the so-called “pre- Read more…
Europe to Dish out €270 Million to Build RISC-V Hardware and Software
December 16, 2022
The European Union will release €270 million in funds as it tries to attain technology independence by building chips based on the open RISC-V instruction set Read more…
Nvidia, Intel to Power Atos-Built MareNostrum 5 Supercomputer
June 16, 2022
The long-troubled, hotly anticipated MareNostrum 5 supercomputer finally has a vendor: Atos, which will be supplying a system that includes both Nvidia and Inte Read more…
Supercomputer Simulations Show How Paxlovid, Pfizer’s Covid Antiviral, Works
February 3, 2022
Just about a month ago, Pfizer scored its second huge win of the pandemic when the U.S. Food and Drug Administration issued another emergency use authorization Read more…
EuroHPC Restarts Procurement for MareNostrum5
December 21, 2021
Call it a New Year’s resolution: the EuroHPC Joint Undertaking—which serves as the concerted supercomputing play of the European Union—has issued a new ca Read more…
Amid a Canceled Tender, More Details of MareNostrum 5 (Finally) Emerge
June 28, 2021
Last October, the executive director of the EuroHPC JU – Anders Dam Jensen – said that with respect to MareNostrum 5 (the final pre-exascale EuroHPC system), “the tendering process was in its very final phase” and that “there would be announcements on that in the coming weeks.” Eight months later, the system’s status is still set to “it’s complicated.” Now, thanks to a brief presentation from... Read more…
Supercomputer Research Forecasts More Rain for Europe Under a Warmer Climate
June 4, 2021
As supercomputers become more powerful, the climate of the future is coming into sharper and sharper focus. In this case, it’s the climate of Europe and the N Read more…
- Click Here for More Headlines
Leading Solution Providers
ISC 2023 Booth Videos
 |
 |
 |
 |
 |
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:
HPCwire Resource Library
-
Whitepaper: Streamlining AI Data Management
-
Whitepaper: Reducing Bias and Increasing Accuracy in AI Models
-
Whitepaper: A New Standard in CAE Solutions for Manufacturing
-
Whitepaper: Porting CUDA Applications to Run on AMD GPUs
-
Whitepaper: QCT HPC BeeGFS Storage: A Performance Environment for I/O Intensive Workloads
-
Webcasts and webinars: Leveraging Exascale Era Technology for Advanced Computer-Aided Engineering
HPCwire 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.