Traditional data centers can’t keep pace with the demands of modern AI. From GPUs and liquid cooling to specialized storage, ...

“We really believe that the US has an opportunity for a new era of innovation and growth, especially with the application of ...

A balanced approach ensures both safety and efficiency are prioritized, protecting your workforce and minimizing risks. In a rapidly expanding field such as data center construction, careful planning ...

AI’s burgeoning energy appetite is driving efforts to make more efficient computer chips. But chips are only part of the data ...

Industry leaders say data centers could boost jobs and tax revenue, but environmental and energy concerns remain — a familiar refrain around the county.

The increased use of artificial intelligence is driving data center demand away from training AI models and toward inference, pushing development to the edge.

Electricity needed to train large AI models is more than doubling each year and could require as much power as some cities within a few years, researchers said.

AI is surging. Quantum is maturing. Data centers have moved from back-end utilities to frontline strategic infrastructure.

Nvidia will announce a new networking card that will allow multiple data centers to collaborate on AI.