UNRAID部署Immich并启用cuda加速

AI智能摘要

文章介绍了在UNRAID系统上部署Immich并利用NVIDIAGPU的CUDA加速功能的全过程。主要步骤包括创建和编辑docker-compose文件，配置Immich服务器及机器学习服务，指定存储路径，并确保使用支持CUDA的镜像版本。用户需具备NVIDIA显卡，驱动版本≥545且算力>5.3。部署完成后，通过nvidia-smi命令确认GPU调用成功，并在系统管理界面启用CLIP模型和NVENC视频转码加速。整个过程需注意环境变量和存储类型设置，确保服务正常运行。

— 此摘要由AI分析文章内容生成，仅供参考。

安装并配置docker-compose

如图所示

创建一个immich的compose项目

编辑compose文件

注意以下几个点

本文件只适用于有NVIDIA显卡的用户
算力需要>5.3 cuda算力查询地址
驱动程序>= 545
Data Base放在SSD上的用户请注释掉DB_STORAGE_TYPE: 'HDD'
修改所有/mnt/user/nas/Photos为自己适合的路径

name: immich

services:
  immich-server:
    container_name: immich_server
    image: ghcr.io/immich-app/immich-server:release
    # extends:
    #   file: hwaccel.transcoding.yml
    #   service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
    volumes:
      - /mnt/user/nas/Photos/libraries:/usr/src/app/libraries
      - /mnt/user/nas/Photos/immich:/usr/src/app/upload
      - /etc/localtime:/etc/localtime:ro
    environment:
      - MACHINE_LEARNING_GPU_ACCELERATION=cuda
      - NVIDIA_VISIBLE_DEVICES=all
    ports:
      - '2283:2283'
    depends_on:
      - redis
      - database
    restart: always
    healthcheck:
      disable: false
    runtime: nvidia

  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}-cuda
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities:
                - gpu
    volumes:
      - /mnt/user/nas/Photos/model-cache:/cache
    restart: always
    healthcheck:
      disable: false

  redis:
    container_name: immich_redis
    image: docker.io/valkey/valkey:8-bookworm@sha256:fec42f399876eb6faf9e008570597741c87ff7662a54185593e74b09ce83d177
    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
    environment:
      POSTGRES_PASSWORD: postgres
      POSTGRES_USER: postgres
      POSTGRES_DB: immich
      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:
      - /mnt/user/nas/Photos/postgres:/var/lib/postgresql/data
    restart: always

保存后点击COMPOSE UP，等待镜像拉取并启动