Panthalassa has raised $140 million in a Series B funding round led by Peter Thiel to expand its offshore AI computing and wave-energy platform. The company plans to use the funding to scale manufacturing, deploy larger ocean-based compute nodes, and move toward commercial operations beginning in 2027.
Panthalassa is developing autonomous offshore systems that generate electricity from ocean waves and use the energy directly to power onboard AI computing hardware. Instead of sending electricity back to terrestrial grids, the company runs AI workloads at sea and transmits data through low-Earth-orbit satellite networks.
The company says the model is designed to address several infrastructure constraints emerging from rapid AI growth, including grid congestion, water shortages for cooling, permitting delays, and rising opposition to large terrestrial data centers. Because the systems operate in the open ocean, surrounding seawater can also be used for passive cooling.
“The future demands more compute than we can imagine,” Thiel said. “Extra-terrestrial solutions are no longer science fiction. Panthalassa has opened the ocean frontier.”
Panthalassa has already deployed two prototypes, Ocean-1 in 2021 and Ocean-2 in 2024. The new funding will support a pilot manufacturing facility near Portland and accelerate deployment of the Ocean-3 series, scheduled for the northern Pacific Ocean in 2026.
“There are three sources of energy on the planet with tens of terawatts of new capacity potential: solar, nuclear, and the open ocean,” said Panthalassa CEO Garth Sheldon-Coulson. “We’ve built a technology platform that operates in the planet’s most energy-dense wave regions, far from shore, and turns that resource into reliable clean power.”
The financing round included investors such as John Doerr, Marc Benioff’s TIME Ventures, Max Levchin’s SciFi Ventures, Super Micro Computer, and returning backers including Founders Fund and Lowercarbon Capital.
Offshore Compute Targets AI Energy Constraints
Panthalassa’s approach differs from conventional renewable energy projects because the generated electricity is consumed directly where it is produced. By placing compute workloads offshore, the company avoids transmitting large amounts of power through already constrained electrical grids.
The strategy also targets one of the largest operational challenges in AI infrastructure: cooling. High-density GPU clusters consume enormous amounts of electricity and generate significant heat, forcing data center operators to secure large water supplies and specialized cooling systems. Panthalassa argues that open-ocean deployment removes much of that constraint.
John Doerr called the technology “a game changer in addressing global energy needs and clean power generation,” adding that it strengthens American technological leadership while creating new industrial infrastructure.
Ocean Infrastructure Moves From Prototype To Scale
The company’s next challenge will be proving that offshore compute systems can operate reliably at commercial scale in difficult ocean conditions. That includes maintaining stable power generation, satellite connectivity, and hardware performance over long periods at sea.
The Ocean-3 deployment planned for 2026 is expected to serve as Panthalassa’s first large-scale operational test before broader commercial rollout in 2027. If successful, the company could become part of a wider push to decentralize AI infrastructure away from land-constrained data center hubs.
