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Why Purpose-Built Infrastructure is the Best Option for Scaling AI Model Development

CIO Business Intelligence

“In an early phase, you might submit a job to the cloud where a training run would execute and the AI model would converge quickly,” says Tony Paikeday, senior director of AI systems at NVIDIA. Developers find that a training job now takes many hours or even days, and in the case of some language models, it could take many weeks.

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AMD buys server maker ZT Systems as AI battle intensifies

CIO Business Intelligence

ZT Systems has over 15 years of experience in designing and deploying AI compute and storage infrastructure for major global cloud companies, AMD added, noting that the company is a key provider of AI training and inference infrastructure. In July, the company agreed to acquire Silo AI, bringing an AI model developer into its fold.

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Getting infrastructure right for generative AI

CIO Business Intelligence

For generative AI, a stubborn fact is that it consumes very large quantities of compute cycles, data storage, network bandwidth, electrical power, and air conditioning. In storage, the curve is similar, with growth from 5.7% of AI storage in 2022 to 30.5% Facts, it has been said, are stubborn things.

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Leveraging Microsoft AI: A game changer for manufacturing

CIO Business Intelligence

The manufacturing edge is the hardware and software constellation on the plant’s premises. Design with the end in mind: Taking a long term view of costly edge hardware investments helps keep costs optimal. Enhance security: Develop a comprehensive edge security strategy that explicitly addresses AI-specific security issues.

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Blackstone to invest $13.3B in AI data center in the UK

Network World

The project is expected to enhance the UK’s AI infrastructure, catering to the vast data storage demands of AI technologies. Construction is slated to begin next year, with around 1,200 jobs tied to the development of the site. US private equity giant Blackstone is investing $13.3

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Gartner projects major IT spending increases for 2025

CIO Business Intelligence

We have companies trying to build out the data centers that will run gen AI and trying to train AI,” he says. Even though many device makers are pushing hard for customers to buy AI-enabled products, the market hasn’t yet developed, he adds. Next year, that spending is not going away.

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ASUS unveils powerful, cost-effective AI servers based on modular design

CIO Business Intelligence

That means hardware designed from the ground up for maximum performance, data center integration, AI development support, optimal cooling, and easy vertical and horizontal scaling. That architecture lets ASUS servers exploit the latest NVIDIA advances in GPUs, CPUs, NVME storage, and PCIe Gen5 interfaces.