Floating data centers? A new idea for AI infrastructure

floating data centers

The growing use of artificial intelligence is associated with significant energy and water consumption. One response to this problem is proposed by the technology startup , which is developing floating data centers powered by wave energy and cooled using seawater.

Team with experience in space and marine technologies

The Panthalassa team consists of specialists from the aerospace industry, research universities, naval architecture firms, software companies, armed forces, and metal fabrication businesses. The company states that these competencies are intended to support the construction of a global platform providing low-emission and low-cost energy for AI computing.

Panthalassa recently raised $140 million in a Series B financing round led by Peter Thiel. According to media reports, the company’s valuation has consequently approached $1 billion. The new funding is intended to support the construction of a pilot manufacturing facility in the USA. In 2026, the company plans to deploy pilot Ocean-3 units in the North Pacific, with the first commercial deployments scheduled for 2027.

Open-ocean wave energy is cheap, sustainable, and available in vast quantities, and today we have the technology that allows us to unlock it,” says Garth Sheldon-Coulson, co-founder and CEO of Panthalassa.

How do floating data centers work?

The structures developed by the American startup are approximately 85 meters long and consist of an upper section resembling a sphere and an elongated vertically submerged hull that stabilizes the platform in the water. The hermetically sealed module houses servers, the computational backbone of AI.

The platform is not anchored to the ocean floor and moves freely with the waves. As the unit rises and falls cyclically, water is directed through an internal turbine that drives a generator and produces electricity. This energy powers the AI servers located inside the module, while computation results are intended to reach users on land via satellite communications, including the network.

The project assumes that the floating data centers will be towed horizontally into the open ocean, then positioned vertically and moved to their target location thanks to the hydrodynamic shape of the hull.

floating data centers
photo: Panthalassa

Expected benefits and possible challenges

Experts from Panthalassa emphasize that their solution uses energy at the place where it is generated and does not require land occupation or connection to the power grid. The centers are intended to be cooled by the surrounding seawater, so unlike some traditional data centers, they should not require freshwater withdrawals for cooling.

Wave energy may be more predictable than wind and solar generation, especially over short time horizons, but it also exhibits seasonal and spatial variability. According to the company’s declarations, with a sufficiently large deployment scale, the cost of energy production in the modules could fall to $0.02/kWh. However, this remains a design assumption rather than a confirmed cost of commercial operation.

The new solution could increase AI computing capacity without placing additional burdens on land-based grids and could reduce competition for freshwater in regions where traditional data centers use it for cooling. However, it does not eliminate all environmental or infrastructure-related risks.

Like any technology at an early stage of commercialization, the Panthalassa concept raises doubts. Skeptics point primarily to the long-term resilience of the structures against storms, corrosion in the marine environment, biofouling, and salt spray, as well as the bandwidth and latency limitations of satellite transmission. Questions also remain regarding the impact of floating data centers on the marine environment, including the effects of noise, electromagnetic fields, waste heat, and maintenance operations on marine organisms. The larger the deployment scale becomes, the more important environmental impact assessment and monitoring will be.

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