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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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HPC News Bytes 20250630: The GPU-ASICs War – Chips from Microsoft, Meta, Google, and Why Engineering Projects Get Delayed

A happy Fourth of July week to you! There’s been much movement lately by the Big Tech companies developing their own AI chips, a.k.a., ASICs, this includes Meta, Microsoft and Google, to name three. In this episode ....

The post HPC News Bytes 20250630: The GPU-ASICs War – Chips from Microsoft, Meta, Google, and Why Engineering Projects Get Delayed appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.

Skyrocketing HBM Will Push Micron Through $45 Billion And Beyond

Micron Technology has not just filled in a capacity shortfall for more high bandwidth stacked DRAM to feed GPU and XPU accelerators for AI and HPC.

Skyrocketing HBM Will Push Micron Through $45 Billion And Beyond was written by Timothy Prickett Morgan at The Next Platform.

University of Buffalo Awarded $40M to Buy NVIDIA Gear for AI Supercomputing Center

June 30, 2025 — Empire AI, the New York State-based research consortium that is advancing artificial intelligence for the public good, will receive $40 million for its supercomputing center at the University of Buffalo. The funding, announced by New York Gov. Kathy Hochul on Thursday, will help launch the center’s second phase, known as Empire […]

The post University of Buffalo Awarded $40M to Buy NVIDIA Gear for AI Supercomputing Center appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.

HPE Throws Everything At AI – And AI At Everything

Hewlett Packard Enterprise has kept a steady drumbeat for much of the year as it looks to position itself as the go-to IT hardware and software vendor for the rapidly expanding AI market, which has grown from chatbots to AI agents in under three years.

HPE Throws Everything At AI – And AI At Everything was written by Jeffrey Burt 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 …


El Capitan achieves top spot, Frontier and Aurora follow behind
Nov. 18, 2024

The 64th edition of the TOP500 reveals that El Capitan has achieved the top spot and is officially the third system to reach exascale computing after Frontier and Aurora. Both systems have since moved down to No. 2 and No. 3 spots, respectively. Additionally, new systems have found their way onto the Top 10.


The List

06/2025 Highlights

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 measured with 1.742 Exaflop/s on the HPL benchmark. El Capitan has 11,039,616 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 HPE Slingshot interconnect for data transfer and achieves an energy efficiency of 58.9 Gigaflops/watt. The system also achieved 17.41 Petaflop/s on the HPCG benchmark which makes it the new leader on this ranking as well

Frontier is the No. 2 system in the TOP500. This HPE Cray EX system was the first US system with a performance exceeding one Exaflop/s. It is installed at the Oak Ridge National Laboratory (ORNL) in Tennessee, USA, where it is operated for the Department of Energy (DOE). It currently has achieved 1.353 Exaflop/s using 8,699,904 cores. The HPE Cray EX architecture combines 3rd Gen AMD EPYC™ CPUs optimized for HPC and AI, with AMD Instinct™ 250X accelerators, and a Slingshot interconnect.

Aurora is currently the No. 3 with a HPL score of 1.012 Exaflop/s. It is installed at the Argonne Leadership Computing Facility, Illinois, USA, where it is also operated for the Department of Energy (DOE). This new Intel system is based on HPE Cray EX - Intel Exascale Compute Blades. It uses Intel Xeon CPU Max Series processors, Intel Data Center GPU Max Series accelerators, and a Slingshot interconnect.

JUPITER Booster is the new No. 4 system. It is installed at EuroPHC/FZJ in Jülich, Germany where it is operated by the Jülich Supercomputing Centre. It is based on the Eviden’s BullSequana XH3000 direct liquid cooled architecture which utilizes Grace Hopper Superchips. It is currently being commissioned and achieved a preliminary HPL value of 793.4 Petaflop/s on a partial system.

Eagle the No. 5 system is installed by Microsoft in its Azure cloud. This Microsoft NDv5 system is based on Xeon Platinum 8480C processors and NVIDIA H100 accelerators and achieved an HPL score of 561 Petaflop/s.

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