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

Generative AI has put data centers under the spotlight, and surging electricity needs could increase risk of fires.

Meta is building data centers in tents to rapidly scale AI infrastructure and try to catch rivals such as DeepSeek, OpenAI, ...

Regular energy consumers, not corporations, will bear the brunt of the increased costs of a boom in artificial intelligence ...

State regulators and utlities are writing new rules to ensure data centers don't drive up electricity prices or raise the ...

China’s new $223M underwater AI data center uses seawater cooling and offshore wind to cut emissions and power large-scale model training operations.

Advanced nuclear technology company Oklo entered into two separate high-profile collaborative agreements this week that seek ...

This rapid growth in model complexity, combined with the need for high data throughput and near-real-time results, places a heavy burden on data center resources, as well as energy (i.e ...

DAC also requires significant amounts of power to operate. Recent studies have shown that the energy consumption of fans in ...

A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter model later this year. Flower AI and Vana, two startups pursuing ...

Since operating an enterprise data center is costly and requires dedicated expertise, many users turn to the colocation data center model. Colocation offers storage and support for computation ...

Top AI companies doubled data center spending, impacting global capex trends. Microsoft and Alphabet lead AI integration, boosting their product lines. DeepSeek's cost-effective AI model may ...