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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.

read1 min views1 publishedJul 1, 2026

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).

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