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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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CHPC 2025 Cluster Competition – Adapt, then Overcome

The 2025 CHPC student cluster competition (in Cape Town for 2025) happened in early December which makes me very late in getting the details out. Unfortunately, the competition had a late start as well. The organizers were there and the students were there, all the booths were set up and the coffee was out. Everything […]

The post CHPC 2025 Cluster Competition – Adapt, then Overcome appeared first on HPCwire.

Argonne 2026 Training Program on Extreme-Scale Computing Applications Now Open

APTESC provides training on the key skills and tools needed to use the world’s most powerful supercomputers for scientific research. Jan. 27, 2026 — The call for applications for the annual Argonne Training Program on Extreme-Scale Computing (ATPESC) is now open through Feb. 25, 2026. Aimed at graduate students, postdocs, and computational scientists, the annual […]

The post Argonne 2026 Training Program on Extreme-Scale Computing Applications Now Open appeared first on HPCwire.

Nvidia’s $2 Billion Investment In CoreWeave Is A Drop In A $250 Billion Bucket

With the hyperscalers and the cloud builders all working on their own CPU and AI XPU designs, it is no wonder that Nvidia has been championing the neoclouds that can’t afford to try to be everything to everyone – this is the very definition of enterprise computing – and that, frankly, are having trouble coming up with the trillions of dollars to cover the 150 gigawatts to more than 200 gigawatts of datacenter capacity that is estimated to be on the books between 2025 and 2030 for AI workloads.

Nvidia’s $2 Billion Investment In CoreWeave Is A Drop In A $250 Billion Bucket was written by Timothy Prickett Morgan at The Next Platform.

Quantum: IonQ to Acquire Foundry Company SkyWater in $1.8B Deal

COLLEGE PARK, Md. and BLOOMINGTON, Minn. – January 26, 2026 – IonQ and SkyWater Technology (NASDAQ: SKYT), a U.S.-based semiconductor foundry, today announced IonQ will acquire SkyWater for $35 per share in a cash-and-stock transaction, subject to a collar, implying a total equity value of approximately $1.8 billion.    “This transformational acquisition enables IonQ to materially accelerate its […]

The post Quantum: IonQ to Acquire Foundry Company SkyWater in $1.8B Deal appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.

Nvidia Takes The Open Road In AI Weather Forecasting

Amid the myriad discussions about AI – from the astounding amount of money being spent by vendors and enterprises and the debate about actual ROI those businesses are getting to the technology’s effect on cybersecurity, jobs, and the fear of disinformation and resulting distrust – it’s easy to forget its usefulness in particular industries.

Nvidia Takes The Open Road In AI Weather Forecasting was written by Jeffrey Burt at The Next Platform.

Quantum: Qunova’s HI-VQE Algorithm Available on AWS Marketplace

DAEJEON, South Korea (January 26, 2026) – Qunova Computing, a developer of software applications designed with the goal of bringing quantum advantage to the chemical, pharmaceutical and industrial engineering sectors, today announces its HI-VQE algorithm is now available on AWS Marketplace. This distribution channel expands HI-VQE’s reach to thousands of potential users, and provides convenient […]

The post Quantum: Qunova’s HI-VQE Algorithm Available on AWS Marketplace appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.

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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