May 23, 2023
MareNostrum 5, the next-generation supercomputer at the Barcelona Supercomputing Center (BSC) and one of EuroHPC’s flagship pre-exascale systems, has had a di Read more…
May 1, 2023
Following the EuroHPC Summit conference in Gothenburg, Sweden, last month, HPCwire asked Steve Conway, senior analyst at Intersect360 Research, to interview And 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
When the EuroHPC Summit was held last week in Gothenburg, there was a distinct shift in tone for the maturing supercomputing play. With LUMI and Leonardo – pl Read more…
March 24, 2023
As the 2023 EuroHPC Summit opened in Gothenburg on Monday, Herbert Zeisel – chair of EuroHPC’s Governing Board – commented that the undertaking had “lef Read more…
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…
October 19, 2022
In late 2020, the European Union announced plans for its Destination Earth (“DestinE”) moonshot project to create multiple digital twins of Earth, including Read more…
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…
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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