ISC Preview: Focus Will Be on Top500 and HPC Diversity 

May 9, 2024

Last year's Supercomputing 2023 in November had record attendance, but the direction of high-performance computing was a hot topic on the floor. Expect more of Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

AMD Has a GPU to Rival Nvidia’s H100

June 13, 2023

If you have not been lucky enough to find Nvidia’s prized H100 GPU in the cloud or off the shelf, AMD has a challenger waiting in the wings that could be worth considering. AMD announced the new MI300X GPU, which is targeted at AI and scientific computing. Read more…

AMD Revenues Drop, but Company Expects Datacenter Wins Later in 2023

May 2, 2023

Today, AMD reported its financial results for Q1 2023. The headline: revenues ($5.4 billion) are down by 9.2% year-over-year, just barely beating expectations a Read more…

A Zettascale Computer Today Would Need 21 Nuclear Power Plants

February 21, 2023

If a zettascale computer were assembled using today's supercomputing technologies, it would consume about 21 gigawatts, or equivalent to the energy produced by 21 nuclear power plants. The math was presented in a keynote speech by AMD CEO Lisa Su at the ISSCC trade show being held in San Francisco held this week. A zettaflop supercomputer would have the computing capability... Read more…

AMD Shows Off MI300 Chip for the First Time

January 5, 2023

At the tail end of AMD’s 75-minute CES keynote, held yesterday in Las Vegas and via livestream, CEO Lisa Su shared new details of the forthcoming MI300 chip and publicly unveiled the silicon. The MI300 (teased earlier this year) is the first to combine a CPU, GPU and memory into a single integrated design, incorporating nine 5nm chiplets that are 3D stacked on top of four 6nm chiplets with 128 gigabytes of HBM3 memory.  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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