More efficient AI training approaches could reduce data center power requirements, make AI modelling more accessible and increase data storage and memory demand.

Data centers are evolving from power consumers to key assets in the grid. In The Data Center Revolution, Kirk Offel and Daniel Crosby discuss how on-site generation, battery storage, and demand ...

Vaccines do not cause autism. You’ve almost certainly read that before — but often without a full explanation of how we know ...

Associates of Elon Musk’s Department of Government Efficiency have fanned out across the federal government in recent days, ...

Washington Gov. Bob Ferguson today announced that he's forming a work group to dig into the impacts of data centers in the ...

Bringing your own AI model into work can lead to awful consequences. Techopedia explores the growing “Bring Your Own AI ...

The Seattle Times and ProPublica reported on how the state created a massive tax break for data centers, encouraging the growth of an industry whose energy use conflicts with a goal for utilities to ...

The executive order to evaluate the environmental and economic impacts of the data center industry follows a Seattle Times ...

Adoption of PrintStator CAD and premium performance printed circuit board stator machines can reduce data center energy ...

"Our view is we'll bring this on faster than anybody else in the industry, and we'll certainly bring it on faster than any other opportunities for decarbonization." ...

Everything that goes into building operations takes electricity, from overhead lights to desktops. But what about the buildings that store all of your phone and computer's information?

Exxon Mobil is building a natural gas power plant and implementing carbon capture technology to power AI data centers.