Silicon Valley bets $200M on AI data centers floating in the ocean
Silicon Valley investors, including Palantir co-founder Peter Thiel, have committed over $200 million to Panthalassa, a company developing floating AI data centers powered by ocean wave energy. The latest $140 million funding round aims to support the completion of a pilot manufacturing facility near Portland, Oregon, and accelerate deployment of wave-riding “nodes” that generate renewable power directly on the ocean. These floating nodes are designed to run AI chips onboard, transmitting AI inference outputs to users worldwide via satellite links, bypassing the need to send renewable energy to land-based data centers. Each node is a large steel sphere that harnesses wave motion to pump water through a vertical tube into a pressurized reservoir, which then drives a turbine to produce electricity. The surrounding ocean water also serves as a natural cooling system for the AI chips, potentially offering significant energy and water savings compared to traditional data centers. Panthalassa’s latest prototype, Ocean-3, measuring about 85 meters long, is slated for testing in the northern Pacific Ocean in 2026. Previous models, Ocean-1 and Ocean-2, have undergone successful trials, including a recent three-week sea test off Washington state. Despite the innovative approach, Panthalassa faces significant challenges. The reliance on satellite communication for data transmission introduces bandwidth limitations and latency issues, complicating the coordination of multiple nodes for large AI workloads. This constraint makes it unlikely that ocean-based data centers will fully replace traditional land-based facilities, which benefit from high-speed fiber-optic networks. Nevertheless, Panthalassa’s concept represents a novel attempt to address the growing energy demands and cooling challenges of AI infrastructure by leveraging renewable ocean energy and could complement existing data center ecosystems in the future.
Original story by Ars Technica • View original source
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