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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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Modernizing HPC Infrastructure in an SSD-Constrained Era

Three Practical Strategies for Scaling AI and HPC Infrastructure Despite Flash Constraints The rapid emergence of AI is forcing research organizations and HPC teams to rethink infrastructure much faster than many expected. GPU clusters are expanding, training datasets are growing, and organizations are under pressure to modernize environments originally designed for very different workload patterns. […]

The post Modernizing HPC Infrastructure in an SSD-Constrained Era appeared first on HPCwire.

Trillion Labs Targets AI Data Centers and Power Plants with Industrial World Models

SEOUL, South Korea, June 8, 2026 — Trillion Labs, a South Korean foundation model lab, announced that it is developing Industrial World Models for AI Factories, built with NVIDIA Omniverse libraries and NVIDIA Nemotron open models. Industrial World Models are designed to enable AI systems and agents to understand, simulate, and optimize complex industrial environments […]

The post Trillion Labs Targets AI Data Centers and Power Plants with Industrial World Models appeared first on HPCwire.

Chip Capacity Constraints Put A Governor On AI Spending Growth

Enhanced Performance For Server Consolidation With Intel Xeon 6+

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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