Bloom Energy and Brookfield Sign $5 Billion Deal for AI Data Center Fuel Cells

Oct 13, 2025
Bloom Energy has partnered with Brookfield in a $5 billion agreement to deploy solid oxide fuel cell technology across AI data centers worldwide, with a European site expected to be announced later this year.

Bloom Energy has entered a $5 billion partnership with Brookfield to deploy its solid oxide fuel cell technology across AI data centers globally, reports the Wall Street Journal. The agreement marks Brookfield’s first investment under its dedicated AI Infrastructure strategy.

The partnership will focus on designing and delivering AI data centers powered by Bloom’s fuel cells, which generate electricity through electrochemical reactions instead of combustion. A European site is expected to be announced before the end of 2025.

Bloom’s solid oxide fuel cells can operate using natural gas, biogas, or hydrogen, offering a flexible on-site power solution for energy-intensive AI operations. The company has previously signed agreements with Oracle, Equinix, and American Electric Power for similar deployments.

Following the announcement, Bloom Energy’s stock rose about 25%, while Brookfield’s shares gained over 2%.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief, Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

Enterprise AI AI Chips & Datacenters AI Brief AI Brief (X)
Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Guide
Hosted Speech Recognition APIs

Hosted Speech Recognition APIs

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.