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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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Canada Launches Quantum Champions Program with Benchmarking-Led Approach

The Government of Canada today announced the launch of a new federal initiative aimed at advancing domestic quantum computing capabilities, as part of a broader effort to strengthen the country’s quantum science and technology ecosystem. Ottawa formally launched Phase 1 of the Canadian Quantum Champions Program (CQCP), a new national program designed to support Canadian […]

The post Canada Launches Quantum Champions Program with Benchmarking-Led Approach appeared first on HPCwire.

How Sustainable Is This Crazy Server Spending?

We can all talk until we are blue in the face about how weird it is for so much money to be spent on servers during the GenAI boom, but after reviewing the latest market report from IDC – which is one again but sporadically giving out some stats to the public – we thought that to feel the full impact of this change, we should draw you a picture of the past 26 years of server revenues by quarter so you can take it all in.

How Sustainable Is This Crazy Server Spending? was written by Timothy Prickett Morgan at The Next Platform.

NVIDIA Acquires Open-Source Workload Management Provider SchedMD

NVIDIA will continue to distribute SchedMD’s open-source, vendor-neutral Slurm software, ensuring wide availability for high-performance computing and AI. Dec. 15, 2025 — NVIDIA today announced it has acquired SchedMD, a leading developer of Slurm, an open-source workload management system for high-performance computing (HPC) and AI, to help strengthen the open-source software ecosystem and drive AI innovation […]

The post NVIDIA Acquires Open-Source Workload Management Provider SchedMD appeared first on HPCwire.

HPC News Bytes 20251215: On-Off-On GPU Exports to China, the US-China Power Gap, Pocket-Sized HPC, Regulating AI

Warmest December greetings! AI technology and its impacts splashed around the world last week, here’s a fast (10:52) review of new developments, including: Nvidia H200 exports to China; H20, H200 and Chinese AI chips: how do they stack up?;few fast GPUs vs. many slow GPUs; China’s power capacity dusts the West; cell-phone sized AI supercomputers; regulating AI

The post HPC News Bytes 20251215: On-Off-On GPU Exports to China, the US-China Power Gap, Pocket-Sized HPC, Regulating AI appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.

As Q-Day Nears, A New Approach Is Needed for HPC and AI Data Security

.... HPC and AI providers (have) a challenge and an opportunity. They must reimagine how to secure sensitive data without disrupting performance. They can now leverage new forms of encryption that protect sensitive data while in use ....

The post As Q-Day Nears, A New Approach Is Needed for HPC and AI Data Security appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.

Everybody But Nvidia And TSMC Has To Make It Up In Volume With AI

We keep seeing the same thing over and over again in the AI racket, and people keep reacting to it like it is a new or surprising idea.

Everybody But Nvidia And TSMC Has To Make It Up In Volume With AI 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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