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, ...

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 ...

Alluxio's distributed data platform eliminates data bottlenecks with sub-millisecond data access and terabyte-per-second ...

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

The most consequential question in AI today is not which model is smartest. It is where the data lives, and whether the ...

Harness-1 suggests that the future of agentic AI lies in building better environments for models to work within, rather than ...

In a recent article, “The Rise Of Distributed Data Centers In The AI Era,” I explored why enterprises are moving beyond a single, centralized data center to a fabric of compact, powerful data centers ...

Australia’s Megaport secured four AI infrastructure contracts worth A$458.9M and is raising A$827.3M to build a globally distributed AI inference cloud.

California, San Francisco , June 02, 2026 (GLOBE NEWSWIRE) -- GoodVision AI has introduced what it calls the “7-Layer AI Cake ...