Google DeepMind unveiled a way to train advanced AI models across distributed data centers. Known as decoupled distributed low-communication (DiLoCo), the architecture isolates local disruptions such ...
The next phase of AI infrastructure will not be defined by a single destination called “the cloud” or “the edge.” ...
REDWOOD CITY, Calif., March 11, 2026 /PRNewswire/ -- Equinix, Inc. (Nasdaq: EQIX), the world's digital infrastructure company®, today unveiled the Distributed AI Hub, powered by Equinix Fabric ...
In Atlanta, Microsoft has flipped the switch on a new class of datacenter – one that doesn’t stand alone but joins a dedicated network of sites functioning as an AI superfactory to accelerate AI ...
Dave McCarthy, Research Vice President for Cloud and Infrastructure Services at IDC, joins SDxCentral’s Kat Sullivan to discuss how the AI cloud stack is evolving as companies move from model training ...
An age-old problem for enterprise IT managers has always been data sprawl. However, in the era of AI, where data is needed from every potential source available, scale in data sprawl become ...
AI infrastructure spending is broadening beyond model training into inference, edge distribution, and data center ...
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People training new AI models admit they just get chatbots to do it
The next generation of AI models are meant to be trained by people paid to have conversations with them, but several of these ...
Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...
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