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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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NTT and OptQC Sign Agreement to Realize a 1M Qubit Optical Quantum Computer by 2030

TOKYO, Nov. 17, 2025 — NTT, Inc. and OptQC Corp. have signed a collaboration agreement to realize a 1-million qubit optical quantum computer by 2030. Under the agreement, NTT will provide quantum error correction and optical communication technologies developed as part of the Innovative Optical and Wireless Network (IOWN) Initiative to OptQC’s quantum computing platform to […]

The post NTT and OptQC Sign Agreement to Realize a 1M Qubit Optical Quantum Computer by 2030 appeared first on HPCwire.

NVIDIA and RIKEN Advance Science in Japan with New Supercomputers for AI and Quantum Computing

ST. LOUIS, Nov. 17, 2025 — NVIDIA today announced that RIKEN, Japan’s leading national research institute, is integrating NVIDIA GB200 NVL4 systems with two new supercomputers in Japan — one built for AI for science and the other for quantum computing. The first system will deploy 1,600 NVIDIA Blackwell GPUs, using the GB200 NVL4 platform and […]

The post NVIDIA and RIKEN Advance Science in Japan with New Supercomputers for AI and Quantum Computing appeared first on HPCwire.

d-Matrix and Andes Collaborate on RISC-V Accelerator for AI Inference

ST. LOUIS (SC25) — Nov 17, 2025 – Generative AI inference compute company d-Matrix and Andes Technology , a supplier of RISC-V processor cores, announced that d-Matrix has selected the AndesCore AX46MPV for its next-generation Raptor inference architecture. The companies said the collaboration represents a convergence of memory-centric computing and open-standard processor innovation for AI workloads […]

The post d-Matrix and Andes Collaborate on RISC-V Accelerator for AI Inference appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.

Enabling Utility-Scale Quantum Computing with HPC-QC Integration

We know there are many challenges to building a utility-scale quantum computer. That’s why we are taking a vendor-agnostic approach—integrating third-party quantum technologies with our HPC and networking capabilities to provide the best solution available and give customers the flexibility they need. We are working to address the challenges of scaling finite-size quantum processing units (QPUs) by providing a tight integration of HPC and QC in multiple layers.

The post Enabling Utility-Scale Quantum Computing with HPC-QC Integration appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.

Modest HPC Centers Drive Top500 Supercomputer Rankings This Time Around

For the past two years now, we have been picking apart the semi-annual rankings of supercomputers known as the Top500 is a different way, focusing on the new machines that come into each list in either June or November.

Modest HPC Centers Drive Top500 Supercomputer Rankings This Time Around was written by Timothy Prickett Morgan at The Next Platform.

AMD: Solid Roadmaps Beget Money, Which Beget Better Roadmaps And Even More Money

There is a vicious cycle that comes from screwing up, but there is also a virtuous cycle that comes from digging yourself out of the hole and not only not screwing up anymore, but catching up to and then leapfrogging the competition through good engineering, hard work, and a little luck.

AMD: Solid Roadmaps Beget Money, Which Beget Better Roadmaps And Even More Money 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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