ImmichI
Immich•12mo ago
latel

Does my machine support machine learning using openvino?

I see docs said
https://v1.124.2.archive.immich.app/docs/features/ml-hardware-acceleration#openvino
The server must have a discrete GPU, i.e. Iris Xe or Arc. Expect issues when attempting to use integrated graphics.

But as far as I know, Iris XE is not a discrete GPU, it's integrated together in intel CPUs.
How can I know my immich instance on "11th Gen Intel® Core™ i7-1165G7 @ 2.80GHz" is processing machine learning with openvino.

here is my docker-compose settings
#
# WARNING: 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-machine-learning:
    container_name: immich_machine_learning
    # For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
    # Example tag: ${IMMICH_VERSION:-release}-cuda
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
    # extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
    #   file: hwaccel.ml.yml
    #   service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
    volumes:
      - /mnt/user/tempo/immich:/cache
      - /dev/bus/usb:/dev/bus/usb
    env_file:
      - .env
    device_cgroup_rules:
      - 'c 189:* rmw'
    devices:
      - /dev/dri:/dev/dri
    restart: always
    healthcheck:
      disable: false
Hardware-Accelerated Machine Learning | Immich
This feature allows you to use a GPU to accelerate machine learning tasks, such as Smart Search and Facial Recognition, while reducing CPU load.
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