Switched from a Quadro RTX 4000 to an Intel Arc B580 and I can't get machine learning to work. #21190

hshl2 · 2025-08-23T17:00:49Z

hshl2
Aug 23, 2025

I'm running all of this in Docker on Arch using primarily 6.12.xx LTS, although I also tried with 6.15.9 since the GPU is still kinda new'ish. The card is recognized by the system and performing tasks for other services and has ReBAR enabled and reporting 16GB. The system itself has 128GB.

❯ sudo lspci -s 0b:00.0 -vvv | grep -i bar
        Capabilities: [420 v1] Physical Resizable BAR
                BAR 2: current size: 16GB, supported: 256MB 512MB 1GB 2GB 4GB 8GB 16GB

To be honest, I don't even know what kind of state it was in with the nvidia card. Everything was just working on the front end and I never looked at the logs. My journal was never flooded like it is now though.

I have these intel related packages installed -

intel-compute-runtime 25.27.34303.5-1
intel-gmmlib 22.7.2-1
intel-gpu-tools 2.1-1
intel-graphics-compiler 1:2.14.1-1
intel-media-driver 25.2.5-1
linux-firmware-intel 20250808-1

This is what I have for OpenCL and mesa versions -

mesa 1:25.2.1-1
opencl-mesa 1:25.2.1-1

Everything about the docker config is very vanilla and straight from the docker compose examples.

docker-compose.yml

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: quicksync # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
    volumes:
      - ${UPLOAD_LOCATION}:/usr/src/app/upload
      - /etc/localtime:/etc/localtime:ro
    env_file:
      - .env
    ports:
      - 2283:2283
    depends_on:
      - redis
      - database
    restart: always

  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}-openvino
    extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
      file: hwaccel.ml.yml
      service: openvino # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
    volumes:
      - model-cache:/cache
    env_file:
      - .env
    restart: always

  redis:
    container_name: immich_redis
    image: docker.io/valkey/valkey:8-bookworm@sha256:a137a2b60aca1a75130022d6bb96af423fefae4eb55faf395732db3544803280
    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@sha256:32324a2f41df5de9efe1af166b7008c3f55646f8d0e00d9550c16c9822366b4a
    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:

.env

# You can find documentation for all the supported env variables at https://immich.app/docs/install/environment-variables

# The location where your uploaded files are stored
UPLOAD_LOCATION=./library
# The location where your database files are stored
DB_DATA_LOCATION=./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=America/Los_Angeles

# The Immich version to use. You can pin this to a specific version like "v1.71.0"
IMMICH_VERSION=release

# Connection secret for postgres. You should change it to a random password
DB_PASSWORD=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

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

hwaccel.ml.yml

# Configurations for hardware-accelerated machine learning

# If using Unraid or another platform that doesn't allow multiple Compose files,
# you can inline the config for a backend by copying its contents
# into the immich-machine-learning service in the docker-compose.yml file.

# See https://immich.app/docs/features/ml-hardware-acceleration for info on usage.

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

hwaccel.transcoding.yml

# Configurations for hardware-accelerated transcoding

# If using Unraid or another platform that doesn't allow multiple Compose files,
# you can inline the config for a backend by copying its contents
# into the immich-microservices service in the docker-compose.yml file.

# See https://immich.app/docs/features/hardware-transcoding for more info on using hardware transcoding.

services:
  quicksync:
    devices:
      - /dev/dri:/dev/dri

immich_server log snippet

[Nest] 18  - 08/23/2025, 9:33:13 AM     LOG [Api:EventRepository] Websocket Connect:    n_rh_fALtNzwhONOAAAD
[Nest] 18  - 08/23/2025, 9:33:42 AM     LOG [Api:SystemConfigService~91i65dpd] LogLevel=log (set via system config)
[Nest] 7  - 08/23/2025, 9:33:42 AM     LOG [Microservices:SmartInfoService] Dimension size of model ViT-L-16-SigLIP2-256__webli is 1024, but database expects 1152.
[Nest] 7  - 08/23/2025, 9:33:42 AM     LOG [Microservices:SmartInfoService] Updating database CLIP dimension size to 1024.
[Nest] 7  - 08/23/2025, 9:33:42 AM     LOG [Microservices:SmartInfoService] Successfully updated database CLIP dimension size from 1152 to 1024.
[Nest] 7  - 08/23/2025, 9:33:42 AM     LOG [Microservices:SystemConfigService] LogLevel=log (set via system config)
[Nest] 7  - 08/23/2025, 9:33:54 AM    WARN [Microservices:MachineLearningRepository] Machine learning request to "http://immich-machine-learning:3003" failed: fetch failed
[Nest] 7  - 08/23/2025, 9:33:54 AM   ERROR [Microservices:{"id":"de06282e-5206-4b44-8dfc-df1c369ae577"}] Unable to run job handler (AssetDetectFaces): Error: Machine learning request '{"facial-recognition":{"detection":{"modelName":"antelopev2","options":{"minScore":0.7}},"recognition":{"modelName":"antelopev2"}}}' failed for all URLs
Error: Machine learning request '{"facial-recognition":{"detection":{"modelName":"antelopev2","options":{"minScore":0.7}},"recognition":{"modelName":"antelopev2"}}}' failed for all URLs
    at MachineLearningRepository.predict (/usr/src/app/server/dist/repositories/machine-learning.repository.js:98:15)
    at async MachineLearningRepository.detectFaces (/usr/src/app/server/dist/repositories/machine-learning.repository.js:107:26)
    at async PersonService.handleDetectFaces (/usr/src/app/server/dist/services/person.service.js:240:52)
    at async JobService.onJobStart (/usr/src/app/server/dist/services/job.service.js:198:28)
    at async EventRepository.onEvent (/usr/src/app/server/dist/repositories/event.repository.js:126:13)
    at async /usr/src/app/server/node_modules/.pnpm/[email protected]/node_modules/bullmq/dist/cjs/classes/worker.js:496:32
    at async Worker.retryIfFailed (/usr/src/app/server/node_modules/.pnpm/[email protected]/node_modules/bullmq/dist/cjs/classes/worker.js:774:24)
[Nest] 7  - 08/23/2025, 9:33:56 AM    WARN [Microservices:MachineLearningRepository] Machine learning request to "http://immich-machine-learning:3003" failed: fetch failed
[Nest] 7  - 08/23/2025, 9:33:56 AM    WARN [Microservices:MachineLearningRepository] Machine learning request to "http://immich-machine-learning:3003" failed: fetch failed
[Nest] 7  - 08/23/2025, 9:33:56 AM   ERROR [Microservices:{"id":"d2538219-0dae-4421-b19a-67585cde98d2"}] Unable to run job handler (AssetDetectFaces): Error: Machine learning request '{"facial-recognition":{"detection":{"modelName":"antelopev2","options":{"minScore":0.7}},"recognition":{"modelName":"antelopev2"}}}' failed for all URLs
Error: Machine learning request '{"facial-recognition":{"detection":{"modelName":"antelopev2","options":{"minScore":0.7}},"recognition":{"modelName":"antelopev2"}}}' failed for all URLs
    at MachineLearningRepository.predict (/usr/src/app/server/dist/repositories/machine-learning.repository.js:98:15)
    at async MachineLearningRepository.detectFaces (/usr/src/app/server/dist/repositories/machine-learning.repository.js:107:26)
    at async PersonService.handleDetectFaces (/usr/src/app/server/dist/services/person.service.js:240:52)
    at async JobService.onJobStart (/usr/src/app/server/dist/services/job.service.js:198:28)
    at async EventRepository.onEvent (/usr/src/app/server/dist/repositories/event.repository.js:126:13)
    at async /usr/src/app/server/node_modules/.pnpm/[email protected]/node_modules/bullmq/dist/cjs/classes/worker.js:496:32
    at async Worker.retryIfFailed (/usr/src/app/server/node_modules/.pnpm/[email protected]/node_modules/bullmq/dist/cjs/classes/worker.js:774:24)

immich_machine_learning log snippet

Abort was called at 1350 line in file:
../../neo/shared/source/os_interface/linux/drm_neo.cpp
[08/23/25 09:34:10] ERROR    Worker (pid:6359) was sent code 134!
[08/23/25 09:34:10] INFO     Booting worker with pid: 6427
[08/23/25 09:34:11] INFO     Started server process [6427]
[08/23/25 09:34:11] INFO     Waiting for application startup.
[08/23/25 09:34:11] INFO     Created in-memory cache with unloading after 300s
                             of inactivity.
[08/23/25 09:34:11] INFO     Initialized request thread pool with 32 threads.
[08/23/25 09:34:11] INFO     Application startup complete.
[08/23/25 09:34:11] INFO     Loading detection model 'antelopev2' to memory
Abort was called at 1350 line in file:
../../neo/shared/source/os_interface/linux/drm_neo.cpp
[08/23/25 09:34:13] ERROR    Worker (pid:6427) was sent code 134!
[08/23/25 09:34:13] INFO     Booting worker with pid: 6495
[08/23/25 09:34:14] INFO     Started server process [6495]
[08/23/25 09:34:14] INFO     Waiting for application startup.
[08/23/25 09:34:14] INFO     Created in-memory cache with unloading after 300s
                             of inactivity.
[08/23/25 09:34:14] INFO     Initialized request thread pool with 32 threads.
[08/23/25 09:34:14] INFO     Application startup complete.
[08/23/25 09:34:14] INFO     Loading detection model 'antelopev2' to memory
Abort was called at 1350 line in file:
../../neo/shared/source/os_interface/linux/drm_neo.cpp
[08/23/25 09:34:15] ERROR    Worker (pid:6495) was sent code 134!
[08/23/25 09:34:15] INFO     Booting worker with pid: 6563
[08/23/25 09:34:16] INFO     Started server process [6563]
[08/23/25 09:34:16] INFO     Waiting for application startup.
[08/23/25 09:34:16] INFO     Created in-memory cache with unloading after 300s
                             of inactivity.
[08/23/25 09:34:16] INFO     Initialized request thread pool with 32 threads.
[08/23/25 09:34:16] INFO     Application startup complete.
[08/23/25 09:34:16] INFO     Loading detection model 'antelopev2' to memory
Abort was called at 1350 line in file:
../../neo/shared/source/os_interface/linux/drm_neo.cpp
[08/23/25 09:34:17] ERROR    Worker (pid:6563) was sent code 134!
[08/23/25 09:34:17] INFO     Booting worker with pid: 6631
[08/23/25 09:34:18] INFO     Started server process [6631]
[08/23/25 09:34:18] INFO     Waiting for application startup.
[08/23/25 09:34:18] INFO     Created in-memory cache with unloading after 300s
                             of inactivity.
[08/23/25 09:34:18] INFO     Initialized request thread pool with 32 threads.
[08/23/25 09:34:18] INFO     Application startup complete.

journalctl -r snippet

Aug 23 09:34:17 jupiter systemd-coredump[877319]: [🡕] Process 877208 (python) of user 0 dumped core.

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                                                  Module /opt/venv/lib/python3.11/site-packages/google/_upb/_message.abi3.so
                                                  Stack trace of thread 6628:
                                                  #0  0x0000760fa3c84eec n/a (/usr/lib/x86_64-linux-gnu/libc.so.6 + 0x8aeec)
                                                  #1  0x00006531b0489a40 n/a (n/a + 0x0)
                                                  ELF object binary architecture: AMD x86-64
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle
Aug 23 09:34:17 jupiter (sd-parse-elf)[877321]: Could not parse number of program headers from core file: invalid `Elf' handle

bo0tzz · 2025-08-23T18:47:16Z

bo0tzz
Aug 23, 2025
Maintainer

I believe we don't support battlemage cards yet.

0 replies

hshl2 · 2025-08-23T19:27:21Z

hshl2
Aug 23, 2025
Author

Okay, thanks for confirming that. Is there anything I can or should do that might help it get support?

1 reply

bo0tzz Aug 23, 2025
Maintainer

cc @mertalev

sillevl · 2025-09-16T08:27:29Z

sillevl
Sep 16, 2025

I will follow this topic. I got an Intel ARC B580 for my immich setup as well. If i need to test or try something, just give a shout.

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Switched from a Quadro RTX 4000 to an Intel Arc B580 and I can't get machine learning to work. #21190

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