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 ...

As artificial intelligence continues its rapid expansion, the industry's greatest challenge is no longer building more capable models-it is building the infrastructure required to run them efficiently ...

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 ...

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

Enterprise AI is at an inflection point. What began with centralized, cloud-scale large language models (LLMs) is moving ...

The next phase of AI infrastructure will not be defined by a single destination called “the cloud” or “the edge.” ...

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 ...

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