Blog · Guide

Shipping notes

What we ship in Cairn, how to use it, and why it works the way it does.

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  1. Fine-tune with a cost gate

    How Cairn's fine-tune pipeline prices a run before a GPU starts, checks the trained model against held-out data, and waits for a person before anything is promoted. The commands to run it are at the end.

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  2. From a DAG of scripts to a governed pipeline

    If your ML work already runs as a DAG of scripts, Cairn doesn't replace the tools that run it. It adds what a DAG doesn't record or enforce: cost caps, data and human gates, one record per leg, and a trace you can replay.

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Run it on your own infrastructure.

Apache 2.0 licensed, self-hosted. The quickstart gets a control plane with demo data running; a call gets your first pipeline onto it.