After a number of delays, Intel has launched its fourth-generation Intel Xeon Scalable processor, codenamed Sapphire Rapids, the successor to Ice Lake. Manufactured on the Intel 7 node (formerly …
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 (on-premise and cloud) will likely w …
Find out which 12 HPC luminaries are being recognized this year for driving innovation within their particular fields.
November 1, 2022
Companies that were looking to store tens of petabytes of unstructured data previously had two main flavors of storage they could turn to: object storage and di 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…
September 8, 2022
CATALOG, which was founded in 2016 by MIT researchers, pitches itself as “building the world’s first DNA-based platform for massive digital data storage and Read more…
August 24, 2022
Fresh from finalizing its acquisitions of FPGA provider Xilinx (Feb. 2022) and DPU provider Pensando (May 2022) ), AMD previewed what it calls a 400 Gig Adaptive smartNIC SOC yesterday at Hot Chips. It is another contender in the increasingly crowded and blurry smartNIC/DPU space where distinguishing between the two isn’t always easy. The motivation for these device types... Read more…
July 1, 2022
HPCwire takes you inside the Frontier datacenter at DOE's Oak Ridge National Laboratory (ORNL) in Oak Ridge, Tenn., for an interview with Frontier Project Direc Read more…
May 24, 2022
Since its founding in 2012, London-based software-defined storage provider SoftIron has been making its case for what it calls secure provenance: a term that en Read more…
May 4, 2022
Panasas started off specializing in storage hardware, but more than 20 years on, the company is placing a big bet on its software stack to meet storage needs for high-performance applications. The company on Wednesday introduced new storage products called ActiveStor Ultra XL and ActiveStor Flash for high-performance computing and artificial intelligence applications. The products are built on the company’s PanFS file... Read more…
May 3, 2022
2022 HPCwire Person to Watch Sven Breuner is the Field CTO International at HPC storage company VAST Data. Breuner has a deep history with fast storage systems. He designed BeeGFS, the Fraunhofer parallel file system, and he was co-founder and CEO of ThinkParQ... 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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