China Launches World’s First Offshore Wind-Powered Undersea Data Center to Cool AI Servers
June 22, 2026
China Launches World’s First Offshore Wind-Powered Undersea Data Center to Cool AI Servers
China has begun operating what officials describe as the world’s first undersea data center directly powered by offshore wind, marking a significant shift in how artificial intelligence infrastructure can be deployed and cooled. The Shanghai Lin-gang undersea data center, located about 6.2 miles off the city’s eastern coast, entered service in May, using nearby wind power and seawater cooling to reduce pressure on land, freshwater, and the electrical grid.
The timing of the project is critical. The International Energy Agency reports that data centers consumed approximately 415 terawatt-hours of electricity in 2024, a figure that could rise to around 945 terawatt-hours by 2030, with AI as the primary driver of that growth. Behind every chatbot response, streaming recommendation, and autonomous driving test lies physical hardware generating intense heat. The Lin-gang facility addresses this challenge head-on by submerging servers in marine-grade infrastructure near offshore wind turbines, allowing the ocean to handle a substantial portion of the cooling load.
The project has a planned capacity of 24 megawatts, with the first demonstration phase operating at 2.3 megawatts and the broader buildout planned in two phases. Cooling is a central focus: the IEA notes that cooling and environmental controls can account for about 7% of electricity use in efficient hyperscale data centers but exceed 30% in less efficient enterprise facilities. The Lin-gang system uses seawater as a natural cooling source through a circulating copper-pipe heat exchange design, which officials say reduces electricity consumption by 22.8%, eliminates freshwater use, and cuts land usage by more than 90%. In a city like Shanghai, where land is expensive and digital demand is growing rapidly, avoiding competition with housing, ports, factories, and green space is a significant advantage.
The project also introduces a direct offshore wind connection model. Electricity from offshore wind farms is transmitted to submerged data modules via subsea photoelectric composite cables, bypassing traditional grid pathways. This approach integrates power generation and computing load as one connected system rather than building data centers first and searching for power later. While the system is not perfectly clean or endlessly scalable, it demonstrates a different way to think about AI infrastructure.
Underwater data centers are not entirely new. Microsoft tested Project Natick years ago, and China has developed undersea computing work around Hainan. However, the Shanghai project stands out because it links offshore wind and undersea computing in an operating demonstration. A clever experiment is one thing; a working piece of infrastructure tied to renewable power is another, especially as countries race to build computing capacity for AI, 5G, big data analysis, and industrial automation.
Shanghai has become a major AI and advanced manufacturing hub, with demand from large-model developers, autonomous driving firms, biotech companies, fintech groups, and other high-speed digital industries. For some of these fields, even milliseconds matter. The undersea model allows coastal data centers to sit near dense cities while avoiding land and water conflicts associated with conventional sites. This is not a small advantage.
Still, underwater infrastructure faces challenges, including saltwater corrosion, long-term sealing, subsea cables, high-pressure conditions, and maintenance difficulties when components fail far below the surface. Environmental concerns also exist: experts warn that submerged data centers may disturb sediment or warm nearby seawater, though these effects appear manageable with proper monitoring. The lesson is clear: the ocean can help cool servers, but it cannot become a dumping ground for the digital economy’s heat.
The Lin-gang project should be seen as a test of a broader idea. Coastal cities with offshore wind, limited land, and fast-growing computing demand may look at this model and ask whether the sea can become part of their digital infrastructure. Ultimately, AI’s environmental challenge is not only about producing more clean electricity—it is also about using less energy for the same work, wasting less freshwater, and placing infrastructure where it makes the most sense.
Source: okdiario
