May 22, 2023
Intel has finally provided specific details on wholesale changes it has made to its supercomputing chip roadmap after an abrupt reversal of an ambitious plan to Read more…
April 27, 2023
Intel posted its worst quarterly loss in history on Thursday, but the chipmaker took a bold move to put a positive spin on the grim news. “We delivered solid first-quarter results, representing steady progress with our transformation,” said Pat Gelsinger, Intel's CEO, in a press release. Read more…
March 30, 2023
Intel held an investor webinar yesterday, with the chip giant working to project consistency and confidence amid slipping roadmaps and market share. At the even Read more…
March 30, 2023
…But chipmaker still does not have an integrated product strategy, which puts the company behind AMD and Nvidia. Intel finally has a full complement of server and PC chips it will release in the coming years, which will determine whether it has regained its leadership in chip manufacturing. The chipmaker this week... Read more…
March 25, 2023
In the bevy of news from Nvidia's GPU Technology Conference this week, another new system has come to light: Pegasus, which entered operations at the University Read more…
March 22, 2023
Until the launch of Pawsey’s Setonix system last year, NCI’s Gadi system – launched in 2020 – was Australia’s most powerful publicly ranked supercompu Read more…
March 13, 2023
After getting bruised in servers by AMD, Intel hopes to stop the bleeding in the server market with next year's chip offerings. The difference-making products will be Sierra Forest and Granite Rapids, which are due out in 2024, said Dave Zinsner, chief financial officer at Intel, last week at the Morgan Stanley Technology, Media and Telecom conference. Read more…
January 11, 2023
The slowing of Moore’s law, rising energy costs and increasing climate regulations have led to ever-larger and ever-more-consequential energy footprints for d Read more…
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.
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.
© 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.