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.

Talk to a specialist See all solutions
Edge first
Compute placed where the data is created
3 EU hubs
Malta, Germany and Poland
One quote
Hardware, licensing, staging and freight
Maritime AI operations screen supported by GPU-ready compute supplied by YOT LTD

Capability map

What AI shipping solutions includes

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

Module 01

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.

Module 02

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.

Module 03

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.

Module 04

Assembly and imaging

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

Module 05

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.

Module 06

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.

Module 07

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.

Module 08

Lifecycle and spares

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

Delivery sequence

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.

Deployment fit

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.

Technical library

Related reading

AI shipping solutions questions

What are AI shipping solutions in practice?
The compute, networking and storage that make maritime AI workloads run: GPU-ready servers or edge inference units placed onboard, at a port or ashore, sized for the model, the power available and the environment, then assembled, tested and supported as one supply package.
Should AI inference run onboard or ashore?
Anything that has to act in seconds, such as vision, collision awareness or machinery condition alerts, runs onboard or at the edge because a satellite round trip is too slow and too expensive. Training, fleet-wide analytics and reporting run ashore, where power and bandwidth are not constrained.
Which GPU and server vendors do you supply?
We are vendor-agnostic. Server and GPU platforms are selected per project against workload, thermal envelope, availability and value rather than a single line card, and the networking and security layers are chosen the same way.
How do you handle heat and power on a vessel?
Thermal output, airflow and power draw are planned during design against the actual cabinet or compartment, with PDU load and headroom calculated before the bill of materials is issued. Where cooling is the constraint, lower-power edge platforms replace a full GPU node.
Is the hardware tested before it ships?
Yes. Systems are assembled, firmware levelled, imaged and burn-in tested under load in our facility, with documented results per unit, so failures surface before the kit reaches a vessel or a remote site.
Do you install the systems yourselves?
We supply, stage and support. Installation is carried out by your yard, integrator or in-house team, with our technical pre-sales and project assistance available throughout, and managed installation available as part of a maritime refit programme.

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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