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Edge AI & Onboard Compute

AI that runs aboard without the cloud — small and quantized language models, TinyML sensors, shipboard inference hardware, intermittent connectivity, and the cloud-vs-edge trade. — 7 evidence-graded features.

ILLUSTRATIVE TELEMETRY · NOT LIVE DATALAT 51.9244°NLON 4.4777°ESOG 12.4 KNHDG 087°TWS 18 KT NWSWELL 2.1 MSIG −38 DBNO LIVE AIS FEEDECDIS NOT CONNECTEDUTC --:--:--ILLUSTRATIVE TELEMETRY · NOT LIVE DATALAT 51.9244°NLON 4.4777°ESOG 12.4 KNHDG 087°TWS 18 KT NWSWELL 2.1 MSIG −38 DBNO LIVE AIS FEEDECDIS NOT CONNECTEDILLUSTRATIVE TELEMETRY · NOT LIVE DATALAT 51.9244°NLON 4.4777°ESOG 12.4 KNHDG 087°TWS 18 KT NWSWELL 2.1 MSIG −38 DBNO LIVE AIS FEEDECDIS NOT CONNECTEDUTC --:--:--ILLUSTRATIVE TELEMETRY · NOT LIVE DATALAT 51.9244°NLON 4.4777°ESOG 12.4 KNHDG 087°TWS 18 KT NWSWELL 2.1 MSIG −38 DBNO LIVE AIS FEEDECDIS NOT CONNECTED

Edge AI at sea: intelligence without the cloudAnalysis · 2026-10 Small language models for shipsAnalysis · 2026-10 Quantized LLMs aboard: the compute budget that decides what's possibleShipboard AI · 2026-10 AI inference on shipboard hardware: compute that survives the seaEdge AI · 2026-10 TinyML for marine sensors: intelligence at the instrument itselfEdge AI · 2026-10 AI at sea with intermittent connectivity: the offline-first constraintShipboard AI · 2026-10 Cloud vs edge AI for vessels: where the model should liveEdge AI · 2026-10

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