August 10, 2021
Looking for an AI refresher to beat the summer heat? In this Q&A, Hyperion Research Senior Adviser Steve Conway surveys the AI and analytics marketplace in a time of intense activity and financial backing. Just last week, the NSF announced it had expanded the National AI Research Institutes program... Read more…
February 25, 2021
The integrated Fujitsu HPC/AI Supercomputer, Wisteria, is coming to Japan this spring. The University of Tokyo is preparing to deploy a heterogeneous computing Read more…
September 8, 2020
High performance computing has long been a driver of competitive advantage in banking and finance. Some of the first supercomputers deployed by industry were us Read more…
January 15, 2020
As Australia burns, understanding and mitigating the climate crisis is more urgent than ever. Now, by leveraging the computing resources at the National Energy Research Scientific Computing Center (NERSC), the U.S. National Oceanic and Atmospheric Administration (NOAA) has updated its 20th Century Reanalysis Project (20CR) dataset... Read more…
August 1, 2019
A trio of keynote presentations from Intel, Google and Microsoft at the PEARC19 conference in Chicago on July 31 charted out the likely future of academic and h Read more…
April 18, 2019
We've entered a new phase in IT -- in the world, really -- where the combination of big data, artificial intelligence, and high performance computing is pushing Read more…
January 16, 2019
It turns out, astronomers have lots of photos of the sky but seek knowledge about what the photos mean. Sound familiar? Big data problems are often characterize Read more…
November 28, 2018
From the Amazon re:Invent main stage in Las Vegas today, Amazon Web Services CEO Andy Jassy introduced Amazon FSx for Lustre, citing a growing body of applicati 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.