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 ...

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

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 ...

The future of enterprise architecture isn’t cloud-first — it’s intelligence-first. And the shift is already underway.

Training a frontier AI model means keeping thousands of GPUs synchronized for weeks on end. When a single network link fails, ...

In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

Data centers may be coming to your neighborhood as side installations associated with new homes—and in exchange would offer subsidized electricity and Internet access along with backup batteries to ...

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 ...

AI startups are expanding at a remarkable pace, but unlike previous generations of technology companies, many of today’s AI ...

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 ...