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The Influence of HPC-ers: Setting the Standard for What’s “Cool”
Jan. 16, 2025

A look back to supercomputing at the turn of the century

When I first attended the Supercomputing (SC) conferences back in the early 2000s as an IBMer working in High Performance Computing (HPC), it was obvious this conference was intended for serious computer science researchers and industries singularly focused on pushing the boundaries of computing. Linux was still in its infancy. I vividly remember having to re-compile kernels with newly released drivers every time there was a new server that came to market just so I could get the system to PXE boot over the network. But there was one …


The Evolution, Convergence and Cooling of AI & HPC Gear
Nov. 7, 2024

Years ago, when Artificial Intelligence (AI) began to emerge as a potential technology to be harnessed as a powerful tool to change the way the world works, organizations began to kick the AI tires by exploring it’s potential to enhance their research or business. However, to get started with AI, neural networks needed to be created, data sets trained, and microprocessors were needed that could perform matrix-multiplication calculations ideally suited to perform these computationally demanding tasks. Enter the accelerator.


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DDN Introduces AI Data Architecture, Addresses NAND Shortages

Chatsworth, CA — AI data platform provider DDN announced new capabilities across its EXA and Infinia product lines desitned to enable organizations to enhance AI performance and GPU utilization even as global NAND shortages drive SSD prices up by 75–125 percent. These advancements uniquely position DDN as the only vendor capable of maintaining AI factory […]

The post DDN Introduces AI Data Architecture, Addresses NAND Shortages appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.

Report: AI Back-End Networks Continue Shift to Ethernet

REDWOOD CITY, Calif. – Dec. 5, 2025 – According to a recently published report from industry analyst firm Dell’Oro Group, Ethernet accounted for more than two-thirds of data center switch sales in AI back-end networks both during the quarter and across the first three quarters of the year — up from less than half in […]

The post Report: AI Back-End Networks Continue Shift to Ethernet appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.

Proteintech Selects AWS as Preferred Cloud Provider, Launches AI Antibody Assistant for Scientific Discovery

LAS VEGAS, Dec. 5, 2025 — Amazon Web Services (AWS) has announced that Proteintech, a global leader in antibody and life science solutions, has selected AWS as its preferred cloud provider. Using AWS’s compute, containers, database, and analytics services, Proteintech successfully built the industry’s first AI antibody assistant called “Able” in just six months. This […]

The post Proteintech Selects AWS as Preferred Cloud Provider, Launches AI Antibody Assistant for Scientific Discovery appeared first on HPCwire.

Vertiv Completes Acquisition of PurgeRite, Expanding Leadership in Liquid Cooling Services

COLUMBUS, Ohio, Dec. 5, 2025 — Vertiv Holdings Co, a global provider of critical digital infrastructure, has announced the successful completion of its previously reported intent to acquire Purge Rite Intermediate LLC, a leading provider of mechanical flushing, purging and filtration services for data centers and other mission-critical facilities. The approximately $1.0 billion acquisition enhances […]

The post Vertiv Completes Acquisition of PurgeRite, Expanding Leadership in Liquid Cooling Services appeared first on HPCwire.

AWS Graviton5 Strikes A Different Balance For Server CPUs

Updated: We have obtained new information in the wake of publishing our story.

AWS Graviton5 Strikes A Different Balance For Server CPUs was written by Timothy Prickett Morgan at The Next Platform.

With Celestial AI Buy, Marvell Scales Up The Datacenter And Itself

It was only a matter of time before Marvell was going to make another silicon photonics acquisition, and the $2.5 billion sale of its automotive Ethernet business to Infineon for $2.5 billion has given the company this past summer netted out to about half of the $3.25 billion that the company is shelling out to get its hands on Celestial AI, one of the several upstarts that hopes to hook compute engines, memory, and switches together using on-chip optical engines and light pipes.

With Celestial AI Buy, Marvell Scales Up The Datacenter And Itself was written by Timothy Prickett Morgan at The Next Platform.

TOP500 News



The Influence of HPC-ers: Setting the Standard for What’s “Cool”
Jan. 16, 2025

A look back to supercomputing at the turn of the century

When I first attended the Supercomputing (SC) conferences back in the early 2000s as an IBMer working in High Performance Computing (HPC), it was obvious this conference was intended for serious computer science researchers and industries singularly focused on pushing the boundaries of computing. Linux was still in its infancy. I vividly remember having to re-compile kernels with newly released drivers every time there was a new server that came to market just so I could get the system to PXE boot over the network. But there was one …


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11/2025 Highlights

On the 66th edition of the TOP500 El Capitan remains No. 1 and JUPITER Booster becomes the fourth Exascale system.

The JUPITER Booster system at the EuroHPC / Jülich Supercomputing Centre in Germany at No. 4 submitted a new measurement of 1.000 Exflop/s on the HPL benchmark. It is the fourth Exascale system on the TOP500 and the first one outside of the USA.

El Capitan, Frontier, and Aurora are still leading the TOP500. All three are installed at DOE laboratories in the USA.

The El Capitan system at the Lawrence Livermore National Laboratory, California, USA remains the No. 1 system on the TOP500. The HPE Cray EX255a system was remeasured with 1.809 Exaflop/s on the HPL benchmark. LLNL also achieved 17.41 Petaflop/s on the HPCG benchmark which makes the system the No. 1 on this ranking as well.

El Capitan has 11,340,000 cores and is based on AMD 4th generation EPYC processors with 24 cores at 1.8 GHz and AMD Instinct MI300A accelerators. It uses the Cray Slingshot 11 network for data transfer and achieves an energy efficiency of 60.9 Gigaflops/watt.

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