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docs(guide): run ML on another machine (#3335)
* Add documentation for hosting the ML container on a different machine * Revert "Add documentation for hosting the ML container on a different machine" This reverts commit 11e635eb57b25fc40c71edb72d5379e159724ec7. * Moved to Guides section and removed .env file reference
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docs/docs/guides/machine-learning.md
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# Hosting the machine-learning service on another system
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To alleviate [performance issues on low-memory systems](/docs/FAQ.md#why-is-immich-slow-on-low-memory-systems-like-the-raspberry-pi) like the Raspberry Pi, you may also host Immich's machine-learning container on a more powerful system (e.g. your laptop or desktop computer):
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- Set `IMMICH_MACHINE_LEARNING_URL` to point to the designated ML system, e.g. `http://workstation:3003`.
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- Copy the following `docker-compose.yml` to your ML system.
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- Start the container by running `docker-compose up -d` or `docker compose up -d` (depending on your Docker version).
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```yaml
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version: '3.8'
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services:
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immich-machine-learning:
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container_name: immich_machine_learning
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image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
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volumes:
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- model-cache:/cache
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restart: always
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ports:
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- 3003:3003
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volumes:
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model-cache:
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```
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Please note that version mismatches between both hosts may cause instabilities and bugs, so make sure to always perform updates together.
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