Unraid compose method - Machine Learning and Intel ARC | Immich | Page 1

warm ledge Dec 28, 2025, 5:09 PM

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SO I'm using a few different GPU's in this box for separate reasons.
Attempting to utilize https://docs.immich.app/features/hardware-transcoding/ for hardware transcoding and https://docs.immich.app/features/ml-hardware-acceleration/
I'm not utilizing an NVIDIA GPU for ML or Transcoding. If possible, to utilize an Intel ARC, it's what I've got as a workhorse.

I do not have a dedicated machine_learning file because from what I could tell it wouldn't function with unraid as you cant extend files? But I'm probably wrong here...
What am I missing for this? -- If the ansert is to RTFM, I'll happily take that with approrpriate links.

#
# WARNING: To install Immich, follow our guide: https://docs.immich.app/install/docker-compose
#
# Make sure to use the docker-compose.yml of the current release:
#
# https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
#
# The compose file on main may not be compatible with the latest release.

name: immich

services:
  immich-server:
    container_name: immich_server
    image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
    # extends:
    #   file: hwaccel.transcoding.yml
    #   service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
    devices:
      - /dev/dri/renderD128:/dev/dri/renderD128
    volumes:
      # Do not edit the next line. If you want to change the media storage location on your system, edit the value of UPLOAD_LOCATION in the .env file
      - ${UPLOAD_LOCATION}:/data
      - /etc/localtime:/etc/localtime:ro
    env_file:
      - .env
    ports:
      - '2283:2283'
    depends_on:
      - redis
      - database
    restart: always
    healthcheck:
      disable: false

  immich-machine-learning:
    container_name: immich_machine_learning
    # For hardware acceleration, add one of -[armnn, cuda, rocm, openvino, rknn] to the image tag.
    # Example tag: ${IMMICH_VERSION:-release}-cuda
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities:
                - gpu
    # extends: # uncomment this section for hardware acceleration - see https://docs.immich.app/features/ml-hardware-acceleration
    #   file: hwaccel.ml.yml
    #   service: cpu # set to one of [armnn, cuda, rocm, openvino, openvino-wsl, rknn] for accelerated inference - use the `-wsl` version for WSL2 where applicable
    volumes:
      - model-cache:/cache
    env_file:
      - .env
    restart: always
    healthcheck:
      disable: false

  redis:
    container_name: immich_redis
    image: docker.io/valkey/valkey:9@sha256:fb8d272e529ea567b9bf1302245796f21a2672b8368ca3fcb938ac334e613c8f
    healthcheck:
      test: redis-cli ping || exit 1
    restart: always

  database:
    container_name: immich_postgres
    image: ghcr.io/immich-app/postgres:14-vectorchord0.4.3-pgvectors0.2.0@sha256:bcf63357191b76a916ae5eb93464d65c07511da41e3bf7a8416db519b40b1c23
    environment:
      POSTGRES_PASSWORD: ${DB_PASSWORD}
      POSTGRES_USER: ${DB_USERNAME}
      POSTGRES_DB: ${DB_DATABASE_NAME}
      POSTGRES_INITDB_ARGS: '--data-checksums'
      # Uncomment the DB_STORAGE_TYPE: 'HDD' var if your database isn't stored on SSDs
      # DB_STORAGE_TYPE: 'HDD'
    volumes:
      # Do not edit the next line. If you want to change the database storage location on your system, edit the value of DB_DATA_LOCATION in the .env file
      - ${DB_DATA_LOCATION}:/var/lib/postgresql/data
    shm_size: 128mb
    restart: always

volumes:
  model-cache:

fathom bearBOT Dec 28, 2025, 5:09 PM

#

:wave: Hey @warm ledge,

Thanks for reaching out to us. Please carefully read this message and follow the recommended actions. This will help us be more effective in our support effort and leave more time for building Immich immich .

References

Container Logs: docker compose logs docs
Container Status: docker ps -a docs
Reverse Proxy: https://immich.app/docs/administration/reverse-proxy
Code Formatting https://support.discord.com/hc/en-us/articles/210298617-Markdown-Text-101-Chat-Formatting-Bold-Italic-Underline#h_01GY0DAKGXDEHE263BCAYEGFJA

#

Checklist

I have...

:ballot_box_with_check: verified I'm on the latest release(note that mobile app releases may take some time).
:ballot_box_with_check: read applicable release notes.
:ballot_box_with_check: reviewed the FAQs for known issues.
:ballot_box_with_check: reviewed Github for known issues.
:ballot_box_with_check: tried accessing Immich via local ip (without a custom reverse proxy).
:ballot_box_with_check: uploaded the relevant information (see below).
:ballot_box_with_check: tried an incognito window, disabled extensions, cleared mobile app cache, logged out and back in, different browsers, etc. as applicable

(an item can be marked as "complete" by reacting with the appropriate number)

Information

In order to be able to effectively help you, we need you to provide clear information to show what the problem is. The exact details needed vary per case, but here is a list of things to consider:

Your docker-compose.yml and .env files.
Logs from all the containers and their status (see above).
All the troubleshooting steps you've tried so far.
Any recent changes you've made to Immich or your system.
Details about your system (both software/OS and hardware).
Details about your storage (filesystems, type of disks, output of commands like fdisk -l and df -h).
The version of the Immich server, mobile app, and other relevant pieces.
Any other information that you think might be relevant.

Please paste files and logs with proper code formatting, and especially avoid blurry screenshots.
Without the right information we can't work out what the problem is. Help us help you ;)

If this ticket can be closed you can use the /close command, and re-open it later if needed.

warm ledge Dec 28, 2025, 5:58 PM

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Docker logs

📎 message.txt

#

env file


# The location where your uploaded files are stored
UPLOAD_LOCATION=/mnt/user/Arc/immich/library

# The location where your database files are stored. Network shares are not supported for the database
DB_DATA_LOCATION=/mnt/user/appdata/immich_postgres

# To set a timezone, uncomment the next line and change Etc/UTC to a TZ identifier from this list: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List
# TZ=Etc/UTC

# The Immich version to use. You can pin this to a specific version like "v2.1.0"
IMMICH_VERSION=v2

# Connection secret for postgres. You should change it to a random password
# Please use only the characters `A-Za-z0-9`, without special characters or spaces
DB_PASSWORD=postgres

# The values below this line do not need to be changed
###################################################################################
DB_USERNAME=postgres
DB_DATABASE_NAME=immich

#

I've attempted to change the driver to various things, but I'm clearly not getting it and misunderstand how it's supposed to function.

fathom bearBOT Dec 28, 2025, 6:15 PM

#

fathom bear ## Checklist I have... 1. :ballot_box_with_check: verified I'm on the latest rel...

Successfully submitted, a tag has been added to inform contributors. :white_check_mark:

warm ledge Dec 28, 2025, 6:26 PM

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I've got specifically two GPU's I can make use of

AMD Ryzen 7 5700G
Intel ARC i310

I'd prefer to use ... frankly either, I don't care.

kind ice Dec 29, 2025, 10:18 AM

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Your ML container has the nvidia options, but you do not have that card. Plus, you are not loading the nvidia (cuda) image.

The 5700G won't help with ML tasks, so you're left with the i310

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https://docs.immich.app/features/ml-hardware-acceleration/
For that just use the openvino section of the HW Accel file for the ML container, and extend the image like so:
image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}-openvino

warm ledge Dec 29, 2025, 1:36 PM

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kind ice https://docs.immich.app/features/ml-hardware-acceleration/ For that just use the...

Adjusted the image as mentioned
adjusted the below

    container_name: immich_machine_learning-openvino
    # For hardware acceleration, add one of -[armnn, cuda, rocm, openvino, rknn] to the image tag.
    # Example tag: ${IMMICH_VERSION:-release}-cuda
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}-openvino
    extends: # uncomment this section for hardware acceleration - see https://docs.immich.app/features/ml-hardware-acceleration
      file: hwaccel.ml.yml
      service: openvino # set to one of [armnn, cuda, rocm, openvino, openvino-wsl, rknn] for accelerated inference - use the `-wsl` vers
ion for WSL2 where applicable

    volumes:
      - model-cache:/cache
    env_file:
      - .env
    restart: always
    healthcheck:
      disable: false

Adjusted the below for good measure if anything because I've had problems with other services not finding whats right under its own feet before

    device_cgroup_rules:
      - 'c 189:* rmw'
    devices:
      - /dev/dri/renderD128:/dev/dri/renderD128
      - /dev/dri:/dev/dri
    volumes:
      - /dev/bus/usb:/dev/bus/usb

We have ignition

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Thanks a bunch for the kick in the right direction Mraedis.

kind ice Dec 29, 2025, 1:38 PM

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warm ledge Thanks a bunch for the kick in the right direction Mraedis.

You shouldnt rename the container though, only the image

warm ledge Dec 29, 2025, 1:39 PM

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Gotcha, got a bit froggy with the keyboard and the below comment.

kind ice Dec 29, 2025, 1:39 PM

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What you're seeing now is probably transcoding, the ML part will fail unless you put the ml env var name in there

warm ledge Dec 29, 2025, 1:48 PM

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kind ice What you're seeing now is probably transcoding, the ML part will fail unless you...

I am going to have to claim ignorance on where this would go.

#Unraid compose method - Machine Learning and Intel ARC

References

Checklist

Information