May 23, 2023
Europe has clearly jumped into the global race to achieve practical quantum, though perhaps a step later (by a year or two) than the U.S. and China. Impressivel Read more…
November 17, 2021
Since coming online in the fall of 2019 in Paris, the Jean Zay supercomputer has been one of Europe’s most powerful supercomputers available to HPC and AI researchers. And now, through the addition of new Nvidia A100 80GB GPUs and other hardware, the Jean Zay will soon offer double the compute capacity it offers for AI and HPC research, according to GENCI... Read more…
November 15, 2021
HPE – working with France’s HPC agency, GENCI, and its National Computing Center for Higher Education, CINES – announced a stellar win today at SC21: it will build France’s 70 peak petaflops Adastra supercomputer, scheduling another leading system for delivery in Europe on the heels of a string of EuroHPC system debuts. The system, slated for delivery and... Read more…
July 16, 2021
Throughout the COVID-19 pandemic, AMD has positioned itself as a strong ally to the COVID-19 research community, predominantly through its COVID-19 High Perform Read more…
February 4, 2021
Over ten months have passed since the Partnership for Advanced Computing in Europe (PRACE) announced that it would be fast-tracking proposals to use supercomputing resources to fight the then-novel coronavirus beginning to sweep across the globe. Just a month later, PRACE... Read more…
November 30, 2020
What we can see and touch are, in the scheme of the universe, relatively minor components, with visible matter and tangible mass constituting just 16 percent of Read more…
June 15, 2020
Suspension bridges are reaching their limits. Despite the enormity of many existing suspension bridges like the Golden Gate Bridge, ambitious plans for far long Read more…
April 22, 2020
Around the world, supercomputing centers have spun up and opened their doors for COVID-19 research in what may be the most unified supercomputing effort in hist 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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