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…
February 14, 2023
Each November, HPCwire’s readers and editors recognize dozens of individuals and organizations across more than 20 very serious award categories, celebrating 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…
October 21, 2021
AMD’s next-generation supercomputer GPU is on its way – and by all appearances, it’s about to make a name for itself. The AMD Radeon Instinct MI200 GPU (a successor to the MI100) will, over the next year, begin to power three massive systems on three continents: the United States’ exascale Frontier system; the European Union’s pre-exascale LUMI system; and Australia’s petascale Setonix system. Read more…
July 5, 2021
As the largest-ever radio telescope, the Square Kilometre Array (SKA) will be a behemoth. As the name implies, the instruments of the massive radio telescope will span well over one square kilometer, using hundreds of dishes and hundreds of thousands of low-frequency aperture array telescopes spread across remote lands in Australia and South Africa that have as little human radio interference as possible. Costing billions of dollars, construction... Read more…
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.
Karlsruhe Institute of Technology (KIT) is an elite public research university located in Karlsruhe, Germany and is engaged in a broad range of disciplines in natural sciences, engineering, economics, humanities, and social sciences. For institutions like KIT, HPC has become indispensable to cutting-edge research in these areas.
KIT’s HoreKa supercomputer supports hundreds of research initiatives including a project aimed at predicting when the Earth’s ozone layer will be fully healed. With HoreKa, projects like these can process larger amounts of data enabling researchers to deepen their understanding of highly complex natural processes.
Read this case study to learn how KIT implemented their supercomputer powered by Lenovo ThinkSystem servers, featuring Lenovo Neptune™ liquid cooling technology, to attain higher performance while reducing power consumption.
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