February 14, 2023
Each November, HPCwire’s readers and editors recognize dozens of individuals and organizations across more than 20 very serious award categories, celebrating Read more…
January 28, 2023
A tremendous portion of the world depends on the output of the oceans’ major fisheries, which have, in recent decades, found themselves under near-constant th Read more…
December 20, 2022
By now, most people are aware of the vast amount of trash currently clogging our oceans, with the Great Pacific garbage patch alone estimated to be twice the si Read more…
December 14, 2022
Texas Advanced Computing Center Director Dan Stanzione and HPCwire Managing Editor Tiffany Trader met in Dallas to discuss the biggest trends in HPC and the hot Read more…
October 10, 2022
Tsunamis can be truly devastating: in 2004, a single tsunami killed nearly 230,000 people — so predicting when and how tsunamis occur is a crucial task. Now, Read more…
September 26, 2022
Since 2017, plans for the Leadership-Class Computing Facility (LCCF) have been underway. Slated for full operation somewhere around 2026, the LCCF’s scope ext Read more…
September 15, 2022
Jetstream2, a collaborative cloud HPC system spread across five institutions, has entered full production following an early operations phase that began earlier Read more…
August 12, 2022
The stunning images produced by the James Webb Space Telescope and recent supercomputer-enabled black hole imaging efforts have brought the early days of the un 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.
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