Blue Energy, GE Vernova Plan 2.5-GW Texas Plant for AI Data Centers
Updated
Updated · OilPrice.com · Jun 9
Blue Energy, GE Vernova Plan 2.5-GW Texas Plant for AI Data Centers
3 articles · Updated · OilPrice.com · Jun 9
Summary
Blue Energy and GE Vernova are developing a 2.5-gigawatt Texas plant that pairs small modular nuclear reactors with natural gas to supply a nearby AI-focused data center campus.
The design lets gas units start generating first while the nuclear portion clears longer regulatory and construction hurdles, aiming to shorten time to power for fast-rising data center demand.
Construction on the gas components is slated to begin later in 2026, with nuclear permit filings to the U.S. Nuclear Regulatory Commission planned for 2027.
The project targets natural-gas generation by 2030 and nuclear output by 2032, using GE Vernova Hitachi's BWRX-300 reactor alongside HA gas turbines.
The proposal reflects a broader U.S. push toward hybrid power for AI infrastructure, even as it sharpens tension between grid reliability and decarbonization goals.
Can hybrid power plants be built fast enough for AI without sacrificing safety and environmental standards?
As tech giants build power plants, is AI's own potential to fix the grid being overlooked?
Is the AI revolution forcing an unavoidable compromise on our long-term climate goals?
Texas Unveils 1.5 GW Hybrid Gas-to-Nuclear Plant to Fuel AI Data Center Boom
Overview
Driven by the soaring energy needs of AI data centers, a pioneering hybrid power plant project in Texas is underway through a collaboration between Blue Energy Global Inc. and GE Vernova. This innovative solution will initially use natural gas systems to quickly supply electricity, then transition to small modular nuclear reactors for long-term, carbon-free power. Designed to deliver up to 1.5 gigawatts, the project specifically targets the substantial requirements of new data centers like Crusoe Inc.’s AI Factory campus. By combining rapid deployment with scalable, sustainable energy, the project sets a new standard for powering the future of AI.