As the need for speed drives computational workloads, more standards organizations are coalescing around a standard called Compute Express Link – also known as CXL – to eliminate chokepoints …
Intel spinoff Cornelis Networks, custodian and developer of the Omni-Path networking portfolio, is now closer to reaching its next-gen networking roadmap targets thanks to an R&D contract with th …
Find out which 12 HPC luminaries are being recognized this year for driving innovation within their particular fields.
April 4, 2022
Later this spring, ACES – the new ‘composable’ supercomputer being stood up at Texas A&M University – will begin granting Phase One access to early Read more…
March 22, 2022
Amid the stream of news from GTC22 today was Nvidia’s launch of a new Ethernet networking platform – Spectrum-4 – and a new 51.2 terabit Spectrum-4 Ethern Read more…
March 2, 2022
U.S. leadership computers today are giant GPU-based machines, whether you’re talking about the pre-exascale Summit supercomputer in operation today at the Oak Read more…
February 24, 2022
Technology heavyweight Hewlett Packard Enterprise and optical IO startup Ayar Labs have embarked on a strategic collaboration to advance silicon photonics in the datacenter and integrate optical IO into a future generation of HPE’s Slingshot interconnect. Optical-based interconnects are essential to overcoming the bandwidth, latency, power and distance... Read more…
December 14, 2021
Rockport Networks, a new entrant in the HPC networking space with its switchless fabric offering, today announced the appointment of Marc Sultzbaugh to co-CEO. An active Rockport board member since December 2020, Sultzbaugh will lead the company alongside Rockport Networks Co-Founder and Co-CEO Doug Carwardine. Sultzbaugh previously spent 20 years at HPC networking company Mellanox... Read more…
November 26, 2021
Larry Smarr, founding director of Calit2 (now Distinguished Professor Emeritus at the University of California San Diego) and the first director of NCSA, is one of the seminal figures in the U.S. supercomputing community. What began as a personal drive, shared by others, to spur the creation of supercomputers in the U.S. for scientific use, later expanded into a... Read more…
October 19, 2021
Optical switching technology holds great promise for many applications but hot operating temperatures have been a key obstacle slowing progress. Now, a new opti Read more…
October 4, 2021
Taking those questions in reverse order, Aliro Quantum is a young Harvard lab spin-out seeking to deliver the quantum networking technology many believe is crit 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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