Intel Is GPU Poor – Dissecting the Company’s Disastrous Q2 Earnings

August 5, 2024

In an era of prosperity for chip makers, Intel is a titanic disappointment. There's no other way to put it. The company reported a second-quarter loss of $1.6 b Read more…

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Nvidia Economics: Make $5-$7 for Every $1 Spent on GPUs

June 30, 2024

Nvidia is saying that companies could make $5 to $7 for every $1 invested in GPUs over a four-year period. Customers are investing billions in new Nvidia hardwa Read more…

More Cores, Higher Prices: Intel’s Server Revenue Expected to Increase 

November 3, 2023

Intel's data center business is recovering, showing healthy margins despite growing competitive pressure.  The healthy margins result from higher average se Read more…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel Read more…

Cerebras Has Big Plans for Big AI Chips: Build Your Own Cloud

July 20, 2023

Hyping an AI chip is one thing, but proving its usability in the commercial market is a bigger challenge.   Some AI chip companies -- which are still prov Read more…

Intel Admits GPU Mistakes, Reveals New Supercomputing Chip Roadmap

May 22, 2023

Intel has finally provided specific details on wholesale changes it has made to its supercomputing chip roadmap after an abrupt reversal of an ambitious plan to Read more…

Intel’s Habana Labs Takes on Prominent Role as Generative AI Surges

May 9, 2023

Intel acquired AI chipmaker Habana Labs just four years ago; now, the division is serving – per Habana COO Eitan Medina – as “effectively the center of ex Read more…

Intel Issues Roadmap Update, Aims for ‘Scheduled Predictability’

March 30, 2023

Intel held an investor webinar yesterday, with the chip giant working to project consistency and confidence amid slipping roadmaps and market share. At the even Read more…

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Whitepaper

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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Whitepaper

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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