AI for shipping and maritime operations

AI shipping solutions: GPU-ready compute specified, assembled and tested for vessels and fleet operations

AI in shipping rarely fails on the model. It fails on the platform underneath it: a GPU node that cannot be cooled in an engine room, an edge box with no power budget, a vessel link that cannot move training data ashore, hardware that arrives as parts with a class survey booked. We specify the compute against the actual workload, build and burn-in test it in our facility, and ship it ready to install with the connectivity and licensing on the same bill of materials.

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Maritime AI operations screen supported by GPU-ready compute supplied by YOT LTD

What AI shipping solutions includes

Every deliverable is handled by named people on your account, before the shipment leaves us.

GPU node specification

Server platforms are sized against the actual inference or training workload, GPU count, memory and storage throughput rather than a catalogue default.

Edge inference platforms

Compact, fanless and short-depth units for vision, condition monitoring and navigation analytics where a rack and a data centre are not available.

Thermal and power planning

Heat output, airflow and PDU load are planned for the space the hardware actually lives in, including engine rooms, bridge cabinets and container-based sites.

Assembly and imaging

Systems are built, firmware levelled, imaged with the drivers, CUDA and container runtime the workload needs, then labelled per location.

Burn-in testing under load

GPU and CPU nodes are powered and load tested in our facility, so thermal and power failures surface on a bench rather than at sea.

Data movement and connectivity

Bonded and multi-WAN links, onboard networking and storage are sized alongside the compute so results and telemetry can reach shore.

Technical pre-sales support

A pre-sales engineer works with your integrator, yard or IT team on the design before a single SKU is quoted, and stays on the project through delivery.

Lifecycle and spares

Spares holding, RMA handling and licence renewals are tracked in FUSE alongside the rest of the fleet estate.

How it runs

  1. 01

    Workload review

    What the model does, where it runs, how much data it sees and what latency it tolerates decides whether the work belongs onboard, at the edge or ashore.

  2. 02

    Platform design

    GPU or accelerator selection, memory, storage, networking and the physical envelope are drawn up with your engineers, vendor-agnostic across our line card.

  3. 03

    One bill of materials

    Compute, networking, cabinets, licensing, staging and freight are quoted together rather than split across four suppliers and three lead times.

  4. 04

    Build and burn-in

    Hardware is assembled, imaged, labelled and load tested at a YOT hub in Malta, Germany or Poland, with results documented per unit.

  5. 05

    Delivery and project assistance

    Kit is shipped to the vessel, yard or site against the install window, and we stay available to your installers and integrators through commissioning.

Where it matters most

Maritime and refit
Onboard vision, condition monitoring and navigation analytics on yachts and commercial vessels, delivered around a refit programme.
Fleet and shoreside operations
Shoreside inference and analytics platforms consolidating telemetry from a fleet, sized for growth rather than a single pilot.
Ports and logistics
Camera-based recognition, gate automation and yard analytics where inference has to happen locally to be useful.
Energy and remote sites
Offshore and remote installations where a failed node cannot wait for a courier and the platform has to be documented and repeatable.

Related reading

AI shipping solutions questions

Scope a project with us

Send a bill of materials or a design brief. A technical pre-sales specialist replies within one business day with hardware, licensing, staging and freight on one quote.

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