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 ...

New capabilities enable customers to adapt proven AI models for mission-specific environments, autonomous workflows, ...

Researchers from University of Wisconsin-Madison and AMD Research and Advanced Development published a technical paper titled ...

What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...

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 ...

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 ...

As demand for AI computing explodes, the bottleneck is shifting from chips to powered, ready-to-use data center capacity.

Data centers may be coming to your neighborhood as side installations associated with new homes—and in exchange would offer subsidized electricity and Internet access along with backup batteries to ...

The search giant no longer just ‘organizes the world’s information.’ With Gemini, it wants AI to reason over that information and increasingly operate on the user’s behalf. In a major salvo in the AI ...

Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations ...