Blue Energy Advances Gas-to-Nuclear Model for AI Power

Blue Energy and GE Vernova are advancing a gas-to-nuclear model for a Texas project targeting 2.5 GW total capacity, using initial natural-gas turbines to power AI data centers while small modular reactors are built. The phased approach aims to reduce operational risk and procurement timelines for hyperscale compute hubs, with a final investment decision targeted for 2027 and turbine delivery in 2029.

Editorial analysis: For AI infrastructure teams, near-term firm power pathways reduce operational risk and procurement timelines for hyperscale compute hubs. Per reporting by World Nuclear News, Nuclear Engineering International, and POWER, Blue Energy , GE Vernova , and partners are advancing a phased "gas-to-nuclear" delivery model that uses initial natural-gas-fired turbines to energize a site while small modular reactors are licensed and built. Sources report the Texas project targets approximately 2.5 GW total capacity, with an initial gas phase of about 1 GWe using two GE Vernova 7HA.02 turbines and a later BWRX-300 SMR phase of roughly 1.5 GWe Nuclear Engineering International; World Nuclear News . Reporting also notes a target final investment decision in 2027 and a slot reservation for turbine delivery in 2029 World Nuclear News; Nuclear Engineering International .