Intel's ongoing reorganization has a new victim: the AXG group – which was formed in 2021 – is now mincemeat after it was chopped up on Wednesday. The consumer graphics portion of AXG (Accele …
The European Union will release €270 million in funds as it tries to attain technology independence by building chips based on the open RISC-V instruction set architecture.
The EuroHPC Joint …
Find out which 12 HPC luminaries are being recognized this year for driving innovation within their particular fields.
December 14, 2022
Texas Advanced Computing Center Director Dan Stanzione and HPCwire Managing Editor Tiffany Trader met in Dallas to discuss the biggest trends in HPC and the hot Read more…
December 12, 2022
With climate concerns amplifying and the war in Ukraine destabilizing energy prices, the conversation around the need for low-cost, renewable energy has been ra Read more…
November 16, 2022
For a few moments, the atmosphere was more Rock Concert than Supercomputing Conference with many members of a packed audience standing, cheering, and waving signs as Jack Dongarra took the stage to deliver the annual ACM Turing Award lecture at SC22. 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…
November 3, 2022
As Moore’s law slows, chips and datacenters are devouring more power than ever to maintain performance gains – and so chipmakers, programmers and system ope Read more…
November 3, 2022
In Levis, Quebec – just outside Quebec City – a scenic walk through a park and across a suspension bridge leads to a hydroelectric power plant rated at 24 m Read more…
October 25, 2022
IBM has introduced a new high-density archival storage system, the IBM Diamondback Tape Library. Unveiled at the 2022 Open Compute Project Global Summit, the new storage solution is physically air-gapped, meaning data is stored as an isolated backup copy with no physical network connection. IBM says Diamondback provides a significantly... Read more…
October 18, 2022
Spun out from Google last March, SandboxAQ is a fascinating, well-funded start-up targeting the intersection of AI and quantum technology. “As the world enter 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 Neptuneâ„¢ liquid cooling technology, to attain higher performance while reducing power consumption.
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