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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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ROBOKOP is RENCI’s Graph-Based Approach to Biomedical Evidence

Beyond model scale alone, AI for science is increasingly being shaped by the data and compute infrastructure that allows algorithms to search and connect scientific evidence. In biomedicine, for example, data continues to grow and fragment across papers, databases, and clinical records. One response to this fragmentation is the use of knowledge graphs, which turn […]

The post ROBOKOP is RENCI’s Graph-Based Approach to Biomedical Evidence appeared first on HPCwire.

AMD Finally Makes More Money On GPUs Than CPUs In A Quarter

Pent up demand for MI308 GPUs in China, which AMD has been trying to get a license to sell since early last year, were approved so that $360 million in Instinct GPU sales that were not officially part of the pipeline made their way onto the AMD books in Q4 2025.

AMD Finally Makes More Money On GPUs Than CPUs In A Quarter was written by Timothy Prickett Morgan at The Next Platform.

Dassault And Nvidia Bring Industrial World Models To Physical AI

During his more than two decades with Nvidia, Rev Lebaredian has had a ringside seat to the show that has been the evolution of modern AI, from the introduction of the AlexNet  deep convolutional neural network that made waves by drastically lowering the error rate at the 2012 ImageNet challenge to the introduction of generative AI and now agentic AI, where systems can create AI assistance to help with knowledge work.

Dassault And Nvidia Bring Industrial World Models To Physical AI was written by Jeffrey Burt at The Next Platform.

Siemens Acquires Canopus AI to Bring AI-Based Metrology to Semiconductor Manufacturing

PLANO, Texas, Feb. 4, 2026 — Siemens today announced the acquisition of Canopus AI, an innovator in computational and AI-driven metrology solutions, enabling semiconductor manufacturers to achieve new levels of precision and efficiency in wafer and mask inspection processes. This acquisition strengthens Siemens’ position in the semiconductor manufacturing ecosystem and expands its semiconductor design and […]

The post Siemens Acquires Canopus AI to Bring AI-Based Metrology to Semiconductor Manufacturing appeared first on HPCwire.

Dassault Systèmes and NVIDIA to Build Industrial AI Platform for Virtual Twins

HOUSTON — Feb. 3, 2026 — Dassault Systèmes (Euronext Paris: FR0014003TT8, DSY.PA) and NVIDIA today announced a partnership for a shared industrial architecture for artificial intelligence across industries. Combining Dassault Systèmes’ Virtual Twin technologies with NVIDIA AI infrastructure, open models and accelerated software libraries will establish science-validated industry World Models, and new ways of working through skilled virtual companions […]

The post Dassault Systèmes and NVIDIA to Build Industrial AI Platform for Virtual Twins appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.

HPC News Bytes 20260202: Microsoft’s Inference Chip, H200 (Not H20) GPUs for China, Mega AI Data Center Deals

A happy month of February to you! The big players have dominated the HPC-AI news front of late, here’s a fast (8:44) recap of recent developments, including: Microsoft Maia 200 chip for AI inference, Nvidia H200 (not H20) ....

The post HPC News Bytes 20260202: Microsoft’s Inference Chip, H200 (Not H20) GPUs for China, Mega AI Data Center Deals 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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