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Hungry for resources, AI redefines the data center calculus

CIO

The AI revolution is driving demand for massive computing power and creating a data center shortage, with data center operators planning to build more facilities. But it’s time for data centers and other organizations with large compute needs to consider hardware replacement as another option, some experts say.

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Gartner projects major IT spending increases for 2025

CIO

growth this year, with data center spending increasing by nearly 35% in 2024 in anticipation of generative AI infrastructure needs. Data center spending will increase again by 15.5% in 2025, but software spending — four times larger than the data center segment — will grow by 14% next year, to $1.24

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Will VMWare’s licensing changes push devirtualization of data centers?

CIO

The landscape of data center infrastructure is shifting dramatically, influenced by recent licensing changes from Broadcom that are driving up costs and prompting enterprises to reevaluate their virtualization strategies. What’s driving this trend ?

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AI to go nuclear? Data center deals say it’s inevitable

CIO

AWS, Microsoft, and Google are going nuclear to build and operate mega data centers better equipped to meet the increasingly hefty demands of generative AI. Earlier this year, AWS paid $650 million to purchase Talen Energy’s Cumulus Data Assets, a 960-megawatt nuclear-powered data center on site at Talen’s Susquehanna, Penn.,

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Radar Trends to Watch: November 2024

O'Reilly Media - Ideas

The definition recognizes four distinct categories for data: open, public, obtainable, and unshareable. Does training AI models require huge data centers? Hardware ARM has canceled the license that allows Qualcomm to produce the Snapdragon processor, which is the basis for most mobile phones.

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The mainframe’s future in the age of AI

CIO

If there’s any doubt that mainframes will have a place in the AI future, many organizations running the hardware are already planning for it. Many organizations have their mission-critical data residing on mainframes, and it may make sense to run AI models where that data resides, Dyer says.

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3 steps to get your data AI ready

CIO

AI-ready data is not something CIOs need to produce for just one application theyll need it for all applications that require enterprise-specific intelligence. Unfortunately, many IT leaders are discovering that this goal cant be reached using standard data practices, and traditional IT hardware and software.

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