A shipbuilder just sold $674M of engines to run America’s AI data centres

HD Hyundai Heavy Industries, the shipbuilding arm of HD Hyundai, announced the contract on 9 August. The buyer is Corban Energy Group, a New Jersey developer that supplies gas, LNG and power gear to data centres and defence projects. The kit will feed data centres run by an unnamed “major U.S. technology company.”

The numbers are the story. The order covers 1,000 megawatts of capacity, built around HD Hyundai’s 9.6-MW HiMSEN engine. That points to something like a hundred engines. It is the largest power-generation engine contract in the company’s history, and its second US data-centre deal in four months.

Prime power, not backup

This is not a diesel generator waiting out a blackout. A 1,000 MW order of medium-speed engines is prime power, meant to run a campus around the clock. The engines start fast, follow load, and scale in roughly 10 MW blocks. That suits a site that cannot pause and cannot wait for the grid.

That last point is the whole reason the deal exists. Grid interconnection queues now stretch into years, so operators contract for their own generation instead. It is the same logic behind Amazon’s off-grid gas plant in Texas, and behind the state grid audits now slowing approvals.

HD Hyundai’s first US move came in April: about 684 MW for $425 million, with developer Aperion Energy Group, per Unite.AI. The Corban deal is bigger on every axis. Two record orders in four months turn a one-off into a strategy.

The catch is the fuel

These are natural-gas engines. So a campus powered this way ties its running costs and its emissions to gas. That is exactly the trade-off driving the local backlash against data centres, where power bills and pollution top the list of complaints.

Demand is what makes the gamble look safe. The Electric Power Research Institute projects data centres rising from 4-5% of US electricity today to 9-17% by 2030. HD Hyundai is spreading across that curve. Its shipbuilding holding company is developing floating data centres, while other affiliates move into power distribution and engine servicing.

The through-line is simple. When a tech company needs a gigawatt and the grid cannot promise a date, buying a hundred engines stops being an edge case. It becomes the plan.

The faster that plan scales, the more of AI’s power problem gets answered with gas.