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 ...

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 ...

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

As demand for AI computing explodes, the bottleneck is shifting from chips to powered, ready-to-use data center capacity.

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 ...

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

SAN FRANCISCO, CA, June 2, 2026 (EZ Newswire) -- GoodVision AI has introduced what it calls the “7-Layer AI Cake” framework, ...

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

Booz Allen and Future Tech leaders share how using hybrid design, edge AI and GPUs can accelerate secure federal AI deployment.

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 ...

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

South Korean researchers have successfully developed a core technology that can fundamentally resolve "memory shortages," a chronic bottleneck in large-scale artificial intelligence (AI) training.