May 18, 2023
The ASC23 cluster competition was held in a basketball stadium on the campus of the University of Science and Technology of China, located in Hefei, China – Read more…
May 17, 2023
The tenth edition of the Asian Supercomputing Challenge took place last week in Hefei, China, and it was tougher than ever. 24 university teams (20 on site, 4 Read more…
April 13, 2023
U.S. chip companies are jockeying to get a piece of the billions of dollars of taxpayer money made available by the CHIPS Act, and the government is putting rul Read more…
March 23, 2023
Chipmakers are tightlipped on China activities following a U.S. crackdown on hardware exports to the country. But Nvidia remains unfazed, and is doubling down o Read more…
February 2, 2023
Last May, the United States and India announced the “Initiative on Critical and Emerging Technology” (iCET), aimed at expanding the countries’ partnership Read more…
November 8, 2022
Return to normalcy is too strong, but the latest portrait of the HPC market presented by Hyperion Research yesterday is a positive one. Total 2022 HPC revenue ( Read more…
October 25, 2022
A bill that released close to $50 billion to boost chip production in the U.S. was met with euphoria among chipmakers. But that joy was short-lived when the U.S. this month banned shipment of advanced chips to China. The export controls are meant to choke China’s computing progress by denying access to U.S.-origin chip design software... Read more…
September 29, 2022
Intel's engineering roots saw a revival at this week's Innovation, with attendees recalling the show’s resemblance to Intel Developer Forum, the company's ann 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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