March 16, 2023
Optical I/O is being singled out by top companies to push computing beyond exascale and into zettascale. The technology was singled out in a recent speech by AM Read more…
July 14, 2021
After more than a decade of planning, the United States’ first exascale computer, Frontier, is set to arrive at Oak Ridge National Laboratory (ORNL) later this year. Crossing this “1,000x” horizon required overcoming four major challenges: power demand, reliability, extreme parallelism and data movement. Read more…
December 17, 2020
The Pentagon’s premiere R&D agency is expanding an initiative designed to provide technology startups with broader access to semiconductor and other intellectual property in hopes of stimulating innovation. The Defense Advanced Research Projects Agency said this week... Read more…
August 31, 2020
The Pentagon’s top research agency is extending its technology chops with the appointment of a new director with extensive industry experience in strategic se Read more…
August 24, 2020
A three-year-old Defense Department electronics initiative is bearing fruit in the form of public-private partnerships in areas ranging from post-Moore’s law Read more…
June 26, 2020
Legislation introduced in the U.S. House and Senate seeks to revive the U.S. semiconductor industry via a roughly $12 billion spending package and tax incentive Read more…
May 28, 2020
The U.S. military is ramping up efforts to secure semiconductors and its electronics supply chain by embedding defenses during the chip design phase. The automa Read more…
April 23, 2020
Work using cold atoms to leverage quantum effects for useful applications isn’t new. Think, for example, of atomic clocks and various sensing devices. But put 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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