Offshore Floating Wind Turbines with Data Centres and Battery Storage: Nvidia's Next Innovation for Industrial Decarbonisation
The maritime renewable energy sector is advancing by integrating data centres and battery storage directly into offshore floating wind turbine platforms. This innovative approach aims to create scalable, sustainable infrastructure capable of supporting high-density artificial intelligence computations while harnessing the abundant energy of the ocean.
Aikido Technologies has unveiled AO60DC, a pioneering floating offshore wind platform designed to combine computational-grade AI processing of between 10 and 12 megawatts MW with an 18 MW wind turbine and embedded battery energy storage system. Intended for wind farms with power loads ranging from 30 MW to over one gigawatt GW, this integrated solution offers a pathway to develop gigawatt-scale, sovereign AI infrastructure directly at renewable energy sources.
Accessing energy, space and water near coastal centres for large-scale data farm construction is increasingly difficult. Offshore environments, however, provide natural advantages including plentiful energy, cooling capacity, and space, with the ocean serving as an infinite heat dissipator. Globally, designated areas for floating offshore wind are immediately suitable for establishing data centres, making this an efficient utilisation of existing renewable sites.
Nvidia has selected Aikido Technologies for collaboration, recognising its high potential in the AI industry through the Nvidia Inception programme. The companies plan to showcase their projects at the upcoming GTC 2026 conference in San Jose. Aikido is also progressing with a proof-of-concept unit in Norway, with deployment scheduled for the end of this year, and has attracted interest from clients in the AI inference sector.
The first commercial project is planned for the United Kingdom, with operations expected to commence in 2028. An appropriate site has already been identified, and technical and commercial discussions are underway. The platform s innovative design allows the wind turbine and battery storage system to supply computational loads primarily during operational periods, with grid connections used mainly during summer peak times.
Batteries can be precharged prior to network overload events, reducing connection times for new capacity. These units can be deployed within 320 km approximately 200 miles of major computational centres worldwide, enabling countries with limited local resources to implement AI infrastructure efficiently.
Aikido CEO Sam Kanner states that exploring offshore platforms could mirror the early exploitation of deepwater resources by oil and gas industries, which yielded substantial gains over four decades ago. Combining proven marine technology with data centre construction techniques allows for faster, cleaner, and cost-effective gigawatt-scale AI factory deployment.
The platform features a modular, semi-submersible floating design, which can be assembled up to ten times quicker than traditional structures, significantly accelerating deployment timelines for AI and energy infrastructure projects. These platforms are well-established in offshore oil and wind sectors, with over 25 years of proven operation across global sites.
With an expected energy efficiency PUE below 1.08, the system utilises passive cooling through the steel hull, transferring heat to surrounding seawater, thus minimising thermal impact. The locations benefit from minimal visual and environmental footprint, fostering local job creation through construction and maintenance while powering nearby coastal communities at low cost.
Maintenance can be carried out using existing specialised vessels, ensuring response times comparable to conventional data centres. The integrated data halls are designed for robust physical security, facilitating safe operation in remote offshore environments. This innovative synergy between renewable energy, maritime infrastructure, and digital infrastructure signifies a transformative step towards decentralised, sustainable AI ecosystems.