Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

ExaFLOPS; You Keep Using That Word

October 12, 2023

A recent article on Tom's Hardware began with the headline "China Wants 300 ExaFLOPS of Compute Power by 2025." Intrigued, further reading finds the following l Read more…

Grace Hopper GH200

Nvidia Adds Faster HBM3e Memory to the GH200 Grace Hopper Platform 

August 9, 2023

Nvidia Grace-Hopper offers a tightly integrated CPU + GPU solution for what is becoming a generative AI dominated market. To increase performance, the graphics Read more…

What’s New in HPC Research: September (Part 1)

September 18, 2018

In this new bimonthly feature, HPCwire will highlight newly published research in the high-performance computing community and related domains. From exascale Read more…

Evolving Exascale Applications Via Graphs

April 29, 2014

There is little point to building expensive exaflop-class computing machines if applications are not available to exploit the tremendous scale and parallelism. Read more…

Experts Discuss the Future of Supercomputers

January 29, 2013

Noted HPC pioneers weigh in on the coming class of exascale systems. Read more…

Petaflop In a Box

June 6, 2012

As we move down the road toward exascale computing and engage in discussion of zettascale, one issue becomes increasingly obvious: we are leaving a large part of the HPC community behind. But it needn't be so. If we developed compact, power efficient petascale computers, not only could we help broaden the base of high-end users, but we could also provide a foundation for future bleeding-edge supercomputers. Read more…

Preoccupied with Exascale

March 31, 2011

Is the HPC community too focused on the 10-year milestone? Read more…

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From Hallucination to Reality

As Federal agencies navigate an increasingly complex and data-driven world, learning how to get the most out of high-performance computing (HPC), artificial intelligence (AI), and machine learning (ML) technologies is imperative to their mission. These technologies can significantly improve efficiency and effectiveness and drive innovation to serve citizens' needs better. Implementing HPC and AI solutions in government can bring challenges and pain points like fragmented datasets, computational hurdles when training ML models, and ethical implications of AI-driven decision-making. Still, CTG Federal, Dell Technologies, and NVIDIA unite to unlock new possibilities and seamlessly integrate HPC capabilities into existing enterprise architectures. This integration empowers organizations to glean actionable insights, improve decision-making, and gain a competitive edge across various domains, from supply chain optimization to financial modeling and beyond.

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Why IT Must Have an Influential Role in Strategic Decisions About Sustainability

Data centers are experiencing increasing power consumption, space constraints and cooling demands due to the unprecedented computing power required by today’s chips and servers. HVAC cooling systems consume approximately 40% of a data center’s electricity. These systems traditionally use air conditioning, air handling and fans to cool the data center facility and IT equipment, ultimately resulting in high energy consumption and high carbon emissions. Data centers are moving to direct liquid cooled (DLC) systems to improve cooling efficiency thus lowering their PUE, operating expenses (OPEX) and carbon footprint.

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