Unraid compose method - Machine Learning and Intel ARC
🚧Setup
Solved☑️Ready❓Question🗄️Server
Solved☑️Ready❓Question🗄️ServerSO 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.
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
- ${DB_DATA_LOCATION}:/var/lib/postgresql/data
shm_size: 128mb
restart: always
volumes:
model-cache:#
# WARNING: To install Immich, follow our guide: https://docs.immich.app/install/docker-compose
#
# Make sure to use the docker-compose.yml of the current release:
#
# https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
#
# The compose file on main may not be compatible with the latest release.
name: immich
services:
immich-server:
container_name: immich_server
image: ghcr.io/immich-app/immich-server:${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: