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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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Nvidia Says OpenClaw Is To Agentic AI What GPT Was To Chattybots

DDN and Supermicro Launch ‘Driving AI Breakthroughs’ Experience at GTC 2026

SAN JOSE, Calif., March 16, 2026 — DDN and Supermicro Computer, Inc. today announced Driving AI Breakthroughs, a joint AI Factory initiative debuting at NVIDIA GTC 2026. Delivered through a custom-built mobile NVIDIA-powered AI factory, this immersive experience gives enterprise leaders a hands-on blueprint for architecting AI systems engineered for efficiency, utilization, and return on investment. […]

The post DDN and Supermicro Launch ‘Driving AI Breakthroughs’ Experience at GTC 2026 appeared first on HPCwire.

MinIO AIStor Brings Object Data Stores for the NVIDIA STX Reference Architecture

REDWOOD CITY, Calif., March 16, 2026 — MinIO today announced that MinIO AIStor will support object data stores for the NVIDIA STX reference architecture. Designed with the NVIDIA STX rack-scale reference architecture, AIStor delivers a unified, high-performance datastore that powers the full AI lifecycle—from large-scale model training to enterprise RAG and real-time agentic inference. As part […]

The post MinIO AIStor Brings Object Data Stores for the NVIDIA STX Reference Architecture appeared first on HPCwire.

IBM Unrolls Blueprint For Quantum-Classical HPC Computing

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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