AI-Sea provides offshore AI compute capacity through its Ocean Grid™ platform, which uses wave-powered, seawater-cooled, and satellite-connected modular Nodes to deliver AI inference hosting and managed maintenance services.
Ocean Grid™ Nodes operate offshore, generating renewable electricity from ocean waves and cooling AI hardware using seawater, removing dependency on land-based electrical grids and freshwater resources, unlike conventional data centers.
AI-Sea is based in Santa Fe, New Mexico, USA, and deploys its Ocean Grid™ Nodes offshore in designated ocean locations across multiple basins to enable hemispheric balancing of AI workloads.
AI-Sea serves AI operators, hyperscale cloud providers, specialized AI companies, and enterprises with high AI inference or data processing needs, particularly those constrained by power, cooling, or environmental limits onshore.
AI-Sea uses a hemispheric balancing strategy where geographically distributed Nodes coordinate workloads with onboard batteries stabilizing local power, enabling continuous AI compute availability despite variable wave conditions.
Seawater cooling reduces energy overhead by leveraging the ocean's thermal capacity, lowering power usage effectiveness (PUE), cutting operating costs, and minimizing freshwater consumption compared to traditional cooling methods.
The modular Ocean Grid™ Nodes are factory-built, port-assembled, and towed offshore for rapid deployment, allowing customers to scale capacity incrementally and respond faster than typical onshore data center expansions.
AI-Sea offers capacity agreements, infrastructure leases, and ongoing managed service and maintenance contracts to provide dedicated offshore AI compute capacity to customers.
Yes, AI-Sea includes managed maintenance and marine operations as part of its service, reducing operational complexity for customers and ensuring reliable offshore AI compute performance.
AI-Sea uses low-Earth-orbit (LEO) satellite communications to connect offshore Ocean Grid™ Nodes globally, enabling remote deployment and integration with customer networks.
AI-Sea's technology is patent-pending, reflecting its unique integration of wave energy conversion, seawater cooling, satellite connectivity, and offshore AI compute infrastructure.
AI-Sea's offshore Nodes use renewable wave energy and seawater cooling, eliminating reliance on fossil-fueled grids and freshwater cooling, thus reducing carbon footprint and water use while supporting ESG and climate commitments.
Yes, the modular design allows customers to add Nodes incrementally, scaling compute capacity flexibly without large upfront investments or complex permitting typical of land-based data centers.
AI-Sea seeks strategic investors, AI infrastructure customers, engineering collaborators, and manufacturing partners interested in advancing offshore AI compute technology and infrastructure development.
AI-Sea is preparing a $1.5 million full-scale prototype program to validate engineering and performance assumptions, which will inform the path toward commercial production and deployment.
By moving compute offshore, AI-Sea bypasses grid power limitations, water scarcity, permitting delays, and local opposition, providing more resilient and sustainable AI compute capacity.
It coordinates geographically distributed offshore Nodes across different ocean basins, shifting AI workloads based on real-time wave energy availability and network performance to maximize uptime and efficiency.
Ocean Grid™ is optimized for large-scale AI inference workloads such as generative AI APIs, recommendation systems, real-time analytics, and other demanding data processing tasks.
AI-Sea uses distributed manufacturing and regional port assembly for its Nodes, creating onshore jobs in manufacturing, engineering, logistics, and maintenance while deploying compute offshore.
Interested investors, partners, or customers can reach out through AI-Sea's website enquiry forms designed for strategic collaboration and investment inquiries.
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If you prefer to talk, call 5052317508 to discuss pilot deployments, investment interest, or technical details with our team.