While training has been the focus, inference is where AI's value is realized. Training clusters need large amounts of power.

The emergence of DeepSeek is casting doubt on the power needs of AI—and on the stocks of independent power producers.

Oil company Chevron is partnering with Engine No. 1 and GE Vernova to create natural gas power plants in the United States ...

Talen Energy is asking a U.S. appeals court to weigh in on a decision by federal regulators last year to reject a power ...

Shares of U.S. power, utility and natural gas companies sold off on Monday in some of the biggest recorded one-day drops, as ...

Mukesh Ambani’s Reliance is planning to build what could become the world’s largest data center in Jamnagar, India, with a ...

Meta CEO Mark Zuckerberg expects to spend as much as $65 billion on AI in 2025 as part of a “massive effort” to further the ...

This week's announcement by President Donald Trump of a massive private-sector investment to build more AI data centers casts ...

With the demand for data higher than ever, data center cooling is crucial. Liquid and hybrid cooling are the future of the ...

Zuckerberg expects Meta’s AI assistant — available across its services, including Facebook and Instagram — to serve more than ...

Stargate's first data center campus, located in Abilene, will be about 875 acres, but only says it will create at least 57 ...

OpenAI debuted its Operator agent system. It’s just a research preview for now, a start toward the promised land of AI agents ...