Aikido Technologies, an offshore infrastructure provider, has unveiled the AO60DC, a floating offshore platform designed to host AI computing infrastructure alongside wind power generation and battery storage to support 10–12MW of AI-grade compute capacity and a 15–18MW offshore wind turbine, with integrated energy storage.
The design targets data loads ranging from 30 MW to more than 1 GW, positioning the system as a way to build large-scale AI infrastructure near renewable energy sources. Developers are facing rising difficulty securing land, power, and water for hyperscale campuses near major cities, while offshore sites provide more space, cooling potential, and energy access.
In a press release, the company described the system as designed so the turbine and battery storage supply most compute power during normal operation, with grid electricity used mainly in summer or during high demand periods. Batteries can be pre-charged before grid stress events to shorten connection requirements for new installations. Units are intended to be deployed within about 200 miles of major compute centers in sovereign waters, enabling low-latency infrastructure for energy-constrained countries.
Sam Kanner, CEO, Aikido Technologies, said, “First movers in the O&G industry exploited deepwater resources over 40 years ago and reaped massive benefits. Aikido is well positioned to integrate proven, offshore components with typical data hall construction techniques to build GW-scale AI factories faster, cleaner, cheaper and more efficiently than conventional techniques.”
The platform integrates a proprietary turbine substructure with data hall enclosures into a single steel unit. Data center modules can be factory-prefabricated and installed during final assembly. The company estimates that more than 50GW of pre-designated offshore wind sites worldwide could potentially be repurposed for combined energy and computing use.
The design uses a modular “flat-pack” semi-submersible platform that can be assembled up to ten times faster than traditional offshore structures. Semi-submersible offshore platforms have been widely used in oil, gas, and floating wind projects for more than 25 years.
The company expects the platform to achieve a power usage effectiveness (PUE) below 1.08 through passive cooling that transfers heat through the steel hull into surrounding seawater. Thermal effects are expected to remain localized within a few meters of the structure.
Maintenance can be performed using vessels already operating in offshore wind and deepwater energy sectors, allowing service response times similar to conventional data centers. The integrated halls are engineered for high physical security and multi-day onboard staffing.
A proof-of-concept unit is under development in Norway and is planned for deployment later this year. Aikido Technologies is part of the NVIDIA Inception program and has received early interest from AI inference customers.
The first commercial deployment is planned in the United Kingdom, with operations targeted to begin in 2028. A site has been identified and engineering and commercial negotiations are ongoing.