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immich/docs/docs/guides/remote-machine-learning.md
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Co-authored-by: Mert <101130780+mertalev@users.noreply.github.com>

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Co-authored-by: Alex <alex.tran1502@gmail.com>
Co-authored-by: Mert <101130780+mertalev@users.noreply.github.com>
Co-authored-by: Jason Rasmussen <jrasm91@gmail.com>
2024-01-12 14:45:41 -05:00

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Remote Machine Learning

To alleviate performance issues on low-memory systems 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):

  • Set the URL in Machine Learning Settings on the Admin Settings page to point to the designated ML system, e.g. http://workstation:3003.
  • Copy the following docker-compose.yml to your ML system.
  • Start the container by running docker-compose up -d or docker compose up -d (depending on your Docker version).
version: '3.8'

services:
  immich-machine-learning:
    container_name: immich_machine_learning
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
    volumes:
      - model-cache:/cache
    restart: always
    ports:
      - 3003:3003

volumes:
  model-cache:

Please note that version mismatches between both hosts may cause instabilities and bugs, so make sure to always perform updates together.