March 22, 2023
Until the launch of Pawsey’s Setonix system last year, NCI’s Gadi system – launched in 2020 – was Australia’s most powerful publicly ranked supercompu Read more…
March 17, 2023
“While the need for supercomputing is great, we have, in my view, reached a tipping point,” said Mark Stickells, executive director of Australia’s Pawsey Read more…
March 13, 2023
The Pawsey Supercomputing Centre in Australia is putting its shiny new Setonix supercomputer (ranked fourth on the most recent Top500 list) to work on an import Read more…
August 15, 2022
The Australian government has been busy on the supercomputing front. In just the last two weeks, the Australian Department of Defence and the Australian Bureau of Meteorology have both revealed major supercomputing updates. The Department of Defence, for its part, unveiled a new supercomputer: Taingiwilta, named after the word for “powerful” in the language of the... Read more…
May 27, 2021
At the end of 2019, strange pneumonia cases started cropping up in Wuhan, China. As Wuhan (then China, then the world) scrambled to contain what would, of cours Read more…
May 18, 2021
Supercomputing is used to understand the shapes of otherwise-inscrutable processes, from the atomic-level movements of cells to thousand-year trends in the glob Read more…
February 12, 2021
Virtually all of the expected sea level rise from climate change will result from the melting of massive ice sheets and glaciers that rest comfortably above sea Read more…
January 13, 2021
Neuromorphic computing, which uses chips that mimic the behavior of the human brain using virtual “neurons,” is growing in popularity thanks to high-profile 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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