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168飞艇开奖官网直播记录____168幸运飞开艇历史查询_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, 2025

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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How 168幸运飞行艇开奖结果官网-168全国统一开奖官网 Did DeepSeek Train Its AI Model On A Lot Less – And Crippled – Hardware?

Maybe they should have called it DeepFake, or DeepState, or better still Deep Selloff.

How Did DeepSeek Train Its AI Model On A Lot Less – And Crippled – Hardware? was written by Timothy Prickett Morgan at The Next Platform.

168飞艇全国统一开奖结果-幸运飞行艇开奖历史查询结果 HPC News Bytes 20250127: Trillions for AI, the Limits of Data Center Largeness, India’s Chip Fab Entry

Good morning to you on this cold and dry January morning in the Northern Hemisphere. As AI data center fever prevails we offer a rapid (8:04) review of HPC-AI news, including: Massive AI datacenter money for Stargate and from Saudi Arabia, when data centers can’t get bigger, India enters chip manufacturing ....

The post HPC News Bytes 20250127: Trillions for AI, the Limits of Data Center Largeness, India’s Chip Fab Entry appeared first on High-Performance Computing News Analysis | insideHPC.

幸运168飞艇历史记录查询-168飞艇历史记录查询结果手机版 Bodo.ai Open-Sources HPC Python Compute Engine

SAN MATEO, Calif., Jan. 27, 2025 — Bodo.ai, an open source start-up focused on transformative Python, has released its high performance computing engine for Python under the Apache License. The need to process ever-larger amounts of data with higher precision, faster speeds, lower costs, and a smaller carbon footprint has grown exponentially. Bodo.ai addresses these […]

The post Bodo.ai Open-Sources HPC Python Compute Engine appeared first on High-Performance Computing News Analysis | insideHPC.

Brad McCredie Is 168飞艇开奖官网开奖结果-历史开奖记录查询汇总表 The Pedal To AMD’s Datacenter GPU Metal

Brad McCredie like engines, and more importantly, he likes to make them go fast.

Brad McCredie Is The Pedal To AMD’s Datacenter GPU Metal 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 …



The Evolution, Convergence and Cooling of AI & HPC Gear
Nov. 7, 2025

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.


The List

11/2025 Highlights

The 64th edition of the TOP500 reveals thatEl Capitanhas 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 newEl Capitan system at the Lawrence Livermore National Laboratory in California, U.S.A., has debuted as the most powerful system on the list with an HPL score of 1.742 EFlop/s. It has 11,039,616 combined CPU and GPU cores and is based on AMD 4th generation EPYC processors with 24 cores at 1.8GHz and AMD Instinct MI300A accelerators. El Capitan relies on a Cray Slingshot 11 network for data transfer and achieves an energy efficiency of 58.89 Gigaflops/watt. This power efficiency rating helped El Capitan achieve No. 18 on the GREEN500 list as well.

TheFrontier system at Oak Ridge National Laboratory in Tennessee, U.S.A, has moved down to the No. 2 spot. It has increased its HPL score from 1.206 Eflop/s on the last list to 1.353 Eflop/s on this list. Frontier has also increased its total core count, from 8,699,904 cores on the last list to 9,066,176 cores on this list. It relies on Cray’s Slingshot 11 network for data transfer.

TheAurora system atArgonne Leadership Computing Facility in Illinois, U.S.A, has claimed the No. 3 spot on this TOP500 list. The machine kept its HPL benchmark score from the last list, achieving 1.012 Exaflop/s. Aurora is built by Intel based on the HPE Cray EX – Intel Exascale Compute blade which uses Intel Xeon CPU Max Series Processors and Intel Data Center GPU Max Series accelerators that communicate through Cray’s Slingshot-11 network interconnect.

TheEagle system installed on theMicrosoft Azure Cloud in the U.S.A. claimed the No. 4 spot and remains the highest-ranked cloud-based system on the TOP500. It has an HPL score of 561.2 PFlop/s

The only other new system in the TOP 5 is theHPC6 system at No. 5. This machine is installed atEni S.p.A center in Ferrera Erbognone, Italy and has the same architecture as the No. 2 system Frontier. The HPC6 system at Eni achieved an HPL benchmark of 477.90 PFlop/s and is now the fastest system in Europe.

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