Debian12 docker容器使用N卡GPU(以emby为例，其他docker容器也可以参考)

1. 加源安装

curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey > /etc/apt/keyrings/nvidia-docker.key
curl -s -L https://nvidia.github.io/nvidia-docker/debian11/nvidia-docker.list > /etc/apt/sources.list.d/nvidia-docker.list
sed -i -e "s/^deb/deb \[signed-by=\/etc\/apt\/keyrings\/nvidia-docker.key\]/g" /etc/apt/sources.list.d/nvidia-docker.list
apt update
apt -y install nvidia-container-toolkit
# 重启docker
systemctl restart docker

2. 测试执行

# 可以看到输出的显卡信息
docker run --gpus all nvidia/cuda:12.1.1-runtime-ubuntu22.04 nvidia-smi

3. 添加docker配置
   vim /etc/docker/daemon.json，增加配置后重启docker

{
        "runtimes": {
                "nvidia": {
                        "path": "/usr/bin/nvidia-container-runtime",
                        "runtimeArgs": []
                }
        }
}

4. docker compose 指定runtime和devices

services:
  emby:
    image: emby/embyserver
    container_name: embyserver
    runtime: nvidia # Expose NVIDIA GPUs
    network_mode: host # Enable DLNA and Wake-on-Lan
    environment:
      - UID=1000 # The UID to run emby as (default: 2)
      - GID=100 # The GID to run emby as (default 2)
      - GIDLIST=100 # A comma-separated list of additional GIDs to run emby as (default: 2)
    volumes:
      - ./programdata:/config # Configuration directory
      - ./movies:/mnt/movies # Media directory
    ports:
      - 8096:8096 # HTTP port
      - 8920:8920 # HTTPS port
    devices:
      - /dev/dri:/dev/dri # VAAPI/NVDEC/NVENC render nodes
    restart: always