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 ...

Low-latency fabrics, topology-aware scheduling, and tiered memory bring compute closer to data and reduce coordination ...

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 ...

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 ...

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

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

Data centers may be coming to your neighborhood as side installations associated with new homes—and in exchange would offer ...

The search giant no longer just 'organizes the world’s information.' With Gemini, it wants AI to reason over that information ...

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 ...

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 ...

GoodVision AI has introduced what it calls the '7-Layer AI Cake” framework, outlining how the company believes the AI ...