Intel i3-14100 with 32g of ram.

I installed Immich using Compose Manager Plus, got it all installed and working, was able to add photos, search and all. So since the basics were working, I wanted to see what capabilities, if any, I had with my measly integrated gpu.

Below is the compse and env files. I added the Intel iGPU part the env, and then I made some edits to the compose file. Since everything was working, and the only changes I made were tot he machine learning section, I know my issues most likely there. I stopped messing with after a bit and decided to come here and see how to fix it. The system has 32Gb of ram, so I'm hoping that can help make up for the paltry gpu.

This may be a fool's errand, but I had to at least try as a discreet gpu just isn't going to happen for a long time. If it is truly fruitless, then I could use help just putting the machine learning section back to the defaults.

#
# 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
    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}-openvino
    # 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
    deploy:
    resources:
      reservations:
        devices:
          - driver: openvino
            count: 1
            capabilities:
              - gpu
    volumes:
      - model-cache:/cache
    env_file:
      - .env
    restart: always
    healthcheck:
      disable: false
  redis:
    container_name: immich_redis
    image: docker.io/valkey/valkey:9@sha256:c123e3715db63d06d4ad6964884037aa0d5d4d703939b9929954112889708e1d
    healthcheck:
      test: redis-cli ping | grep -q PONG || 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
    healthcheck:
      disable: false
volumes:
  model-cache:

# You can find documentation for all the supported env variables at https://docs.immich.app/install/environment-variables
# The location where your uploaded files are stored
UPLOAD_LOCATION=/mnt/user/Personal_Stuff/Immich
# The location where your database files are stored. Network shares are not supported for the database
DB_DATA_LOCATION=/mnt/user/appdata/postgresql/data
# 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=America/Chicago
# The Immich version to use. You can pin this to a specific version like "v2.1.0"
IMMICH_VERSION=v3
# 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
# Intel iGPU
device=/dev/dri
# The values below this line do not need to be changed
###################################################################################
DB_USERNAME=postgres
DB_DATABASE_NAME=immich

This is what I currently have deployed and it works with my Intel gpu.

immich-machine-learning:
    container_name: immich_machine_learning
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}-openvino
    device_cgroup_rules:
      - 'c 189:* rmw'
    devices:
      - /dev/dri:/dev/dri
    networks:
      - proxy-net
    environment:
      - PUID=99
      - PGID=100
      - TZ=${TZ}
    volumes:
      - ${ML_CACHE_LOCATION}:/cache
    env_file:
      - .env
    restart: always
    healthcheck:
      disable: false

Got it working. Thanks.