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Скачать или смотреть Floating AI Compute Zones: Ships and ocean-Based Sovereign AI Compute

  • CABDesign
  • 2026-02-04
  • 3
Floating AI Compute Zones:  Ships and ocean-Based Sovereign AI Compute
AI infrastructurefloating data centersship-based data centerssovereign AIedge computingenergy arbitragemodular data centersAI computemaritime infrastructurehyperscale alternativesEnergyGeopoliticsEmerging TechnologyCloud ComputingIndustrial Systems
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How Ship-Based AI Infrastructure Turns Energy, Mobility, and Sovereignty into Strategic Advantage
Preamble
AI infrastructure is no longer constrained by silicon alone it is constrained by power, permitting timelines, geopolitics, and grid bottlenecks. As demand for sovereign, resilient, and rapidly deployable compute accelerates, conventional land-based data centres are proving too slow and inflexible. Ship-based (and ocean) AI compute emerges as a pragmatic alternative: not a novelty, but a logistics-driven response to energy abundance, jurisdictional complexity, and the need for faster time-to-compute. This article explores the technical, economic, and operational case for floating AI infrastructure.
Blog: https://ideaswiz.com/ship-based-ai-compute...
Substack: https://cabusinessdesignconsultancy.substa...
________________________________________
Vision: Ship-Based Sovereign AI Compute (“Floating Compute Zones”)
Vision statement
Create mobile, sovereign AI compute platforms using purpose-built or repurposed ships that convert coastal power, stranded energy, and jurisdictional arbitrage into secure, high-density AI compute deployable in months, relocatable as geopolitics or energy economics shift, and operated as modular “compute fleets.”
This is not a data center at sea for novelty. It is a logistics and sovereignty play, borrowing directly from Ideaswiz’s thesis: compute should move to power, not power to compute https://ideaswiz.com/sovereign-portable-ai... with ships acting as the mobility layer.#
As usual l supporting artefacts: https://drive.google.com/drive/folders/1Kj...
AI Compute Solutions and Comparisons, Sea AI Compute Ship — Hardware Requirements & Technology Stack, Sea AI Compute Ship — Software Requirements Specification (SRS)

Technical Architecture (People · Process · Technology)
1. Compute & Cooling (hard engineering first)
Cooling strategy
• Primary: Closed-loop liquid cooling (direct-to-chip) inside sealed racks
• Heat rejection: Plate heat exchangers using seawater as a secondary sink
• Design rule: No seawater enters the IT loop
Why this works:
• Mirrors offshore oil & gas thermal systems (KK)
• Avoids humidity and salt ingress into electronics
• Supports high rack densities (60–100kW/rack)
Saltwater corrosion mitigation
• Marine-grade alloys + epoxy coatings
• Positive-pressure IT zones with filtered dry air
• Sacrificial anodes for hull protection
• Aggressive humidity control (sub-45%)
This is solved maritime engineering, not experimental.

• They enable power arbitrage between ports, grids, and floating generation
• They act as temporary or transitional compute while land sites mature
Ships are not cheaper than land—they are faster and more flexible.
2. Power Connectivity (the economic lever)
Primary power models
1. Shore power (preferred): high-voltage grid tie at port
2. Dedicated floating power: gas, LNG, or floating renewables
3. Hybrid: grid + onboard generation for resilience
Selection criteria
3. Connectivity & Bandwidth (often underestimated)
the rest of document can be found at https://ideaswiz.com/ship-based-ai-compute...

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