World News

World News11.03.2026

Aikido unveils floating offshore platform for AI data centers

QAZAQ GREEN.  U.S.-based Aikido Technologies has introduced a floating offshore platform designed to host data centers for artificial intelligence workloads alongside wind power generation, according to company’s press release.

The new system, called AO60DC, combines a floating wind turbine, battery energy storage, and AI-grade computing infrastructure on a single offshore platform. According to the company, each unit can host 10–12 MW of AI computing capacity together with a wind turbine rated at more than 15–18 MW.

The technology is intended for large computing clusters ranging from 30 MW to more than 1 GW of IT load. By locating data centers directly next to renewable energy generation, the concept aims to address the growing difficulty of securing land, power, and water resources for large AI facilities onshore.

The platform uses passive cooling, transferring heat from servers through the steel hull into surrounding seawater. The company expects the facility to achieve a power usage effectiveness (PUE) below 1.08.

For most operating hours, the onboard wind turbine and battery storage are expected to supply power to the computing systems. Grid connections would be used primarily during peak seasonal demand.

According to Sam Kanner, offshore deployment could allow companies to build large-scale AI computing facilities faster and at lower cost by combining established offshore engineering with conventional data center technologies.

A modular semi-submersible platform design allows the units to be assembled up to ten times faster than traditional offshore structures. Data center modules can be prefabricated and installed during the final assembly stage.

A proof-of-concept unit is currently under development in Norway and is expected to be deployed later in 2026. The first commercial project is planned in the United Kingdom, with operations targeted for 2028.

Aikido is also part of the NVIDIA Inception program and has already received early interest from AI inference customers.

 

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