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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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NREL: Kestrel HPC Advanced 425+ Energy Research Projects in 2024

The National Renewable Energy Laboratory announced that in 2024, NREL’s Kestrel high performance computing system powered more than 425 energy research projects across 13 funding areas. Kestrel is NREL’s newest HPC system, delivering roughly 56 petaflops of computing power to accelerate energy research, including through the use of artificial intelligence and machine learning to open […]

The post NREL: Kestrel HPC Advanced 425+ Energy Research Projects in 2024 appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.

Even AI Can’t Predict How Much Accelerated Iron The World Will Buy

As we have said many times here at The Next Platform, the only way to predict the actual future is to live it.

Even AI Can’t Predict How Much Accelerated Iron The World Will Buy was written by Timothy Prickett Morgan at The Next Platform.

European Investment Fund Invests €30M in French Early-Stage Quantum Venture Fund

The Luxembourg-based European Investment Fund recently announced an investment of €30 million in Quantonation II, a French early-stage venture capital fund. The funding aims at accelerating the growth of companies operating in the fields of quantum technology and deep physics, and is intended to address a gap in the early-stage financing landscape. The fund aims […]

The post European Investment Fund Invests €30M in French Early-Stage Quantum Venture Fund 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.

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.


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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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