The company is planning to deploy AI compute nodes at some customer homes in the coming months with the ultimate goal of ...

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 ...

Tomorrow's AI services depend on networks built for massive inference growth.

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 ...

AI demand is colliding with two hard constraints: grid capacity and local politics around hyperscale. Our industry’s most ...

AI infrastructure spending is broadening beyond model training into inference, edge distribution, and data center ...

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 ...

The differences between power-dense training and low-latency distributed inference show why the AI era calls for workload-led UPS battery selection ...

The funding will support the development of Sherpa.ai's AI platform and accelerate its international expansion across key ...