Fusion for AI Compute

AI training clusters are becoming gigawatt-scale, constant, DC loads — precisely the firm, DC-native power a MetroVolt plant is designed to deliver.

Load

Large, constant, growing to GW scale

Need

Firm power; DC distribution inside racks

MetroVolt

0.61–0.84 GWe, DC-native

Fit

Co-located firm clean supply

Training and running frontier AI models is extraordinarily power-hungry, and the largest compute clusters are heading toward gigawatt-scale demand — large, constant, around-the-clock, and increasingly bottlenecked by electricity supply rather than chips. That's a firm-power problem of exactly the kind fusion targets.

A MetroVolt unit delivers 0.61–0.84 GWe of firm output (a three-unit station 1.8–2.5 GWe), matching a hyperscale campus. Two features fit AI compute unusually well: it's firm, so it can anchor base load without weather risk; and it's DC-native from direct energy conversion, aligning with the DC distribution inside modern data centers and cutting conversion stages.

Co-locating firm, clean, DC-native generation with AI compute is one of the clearest near-term value propositions for firm fusion — developed through strategic partnerships. See firm power for data centers.