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 ...
AI infrastructure spending is broadening beyond model training into inference, edge distribution, and data center ...
The funding will support the development of Sherpa.ai's AI platform and accelerate its international expansion across key ...
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 ...
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China’s Meituan open-sources massive LongCat-2.0 AI model, saying it was trained on domestic chips
China’s Meituan open-sources massive LongCat-2.0 AI model, saying it was trained on domestic chips - SiliconANGLE ...
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 ...
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 ...
Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...
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