飞牛OS安装NVIDIA Container Toolkit

发表于 2025-08-21 更新于昨天

作者 LeapHeap

12~16 分钟 阅读

前端时间从群晖迁移到飞牛OS，结果发现飞牛在套件里提供的英伟达显卡驱动不仅不带给Docker使用的Nvidia Container Toolkit，并且也存在缺陷，导致后期手动安装nctk时Docker无法调用。经过分析，问题主要出在没有库文件的符号链接以及访问权限不够上。以下是在商店里安装驱动后，完整的解决方案。

1.安装nctk并手动创建符号链接

curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \

  && curl -s -L https://mirrors.ustc.edu.cn/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \

    sed 's#deb https://nvidia.github.io#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://mirrors.ustc.edu.cn#g' | \

    tee /etc/apt/sources.list.d/nvidia-container-toolkit.list

sudo apt update && sudo apt install nvidia-container-toolkit

nvidia-ctk runtime configure --runtime=docker --config=/etc/docker/daemon.json

ln -sf /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.560.28.03 /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.1

ln -sf /usr/lib/x86_64-linux-gnu/libcuda.so.560.28.03 /usr/lib/x86_64-linux-gnu/libcuda.so.1

ln -sf /lib/x86_64-linux-gnu/libGLESv2_nvidia.so.560.28.03 /lib/x86_64-linux-gnu/libGLESv2_nvidia.so.2

ln -sf /lib/x86_64-linux-gnu/libcudadebugger.so.560.28.03 /lib/x86_64-linux-gnu/libcudadebugger.so.1

ln -sf /lib/x86_64-linux-gnu/libEGL_nvidia.so.560.28.03 /lib/x86_64-linux-gnu/libEGL_nvidia.so.0

ln -sf /lib/x86_64-linux-gnu/libGLESv1_CM_nvidia.so.560.28.03 /lib/x86_64-linux-gnu/libGLESv1_CM_nvidia.so.1

ln -sf /lib/x86_64-linux-gnu/libnvidia-fbc.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-fbc.so

ln -sf /lib/x86_64-linux-gnu/libnvidia-fbc.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-fbc.so.1

ln -sf /lib/x86_64-linux-gnu/libnvidia-cfg.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-cfg.so

ln -sf /lib/x86_64-linux-gnu/libnvidia-cfg.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-cfg.so.1

ln -sf /lib/x86_64-linux-gnu/libnvidia-ml.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-ml.so

ln -sf /lib/x86_64-linux-gnu/libnvidia-ml.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-ml.so.1

ln -sf /lib/x86_64-linux-gnu/libnvcuvid.so.560.28.03 /lib/x86_64-linux-gnu/libnvcuvid.so

ln -sf /lib/x86_64-linux-gnu/libnvcuvid.so.560.28.03 /lib/x86_64-linux-gnu/libnvcuvid.so.1

ln -sf /lib/x86_64-linux-gnu/libcuda.so.560.28.03 /lib/x86_64-linux-gnu/libcuda.so

ln -sf /lib/x86_64-linux-gnu/libcuda.so.560.28.03 /lib/x86_64-linux-gnu/libcuda.so.1

ln -sf /lib/x86_64-linux-gnu/libnvoptix.so.560.28.03 /lib/x86_64-linux-gnu/libnvoptix.so.1

ln -sf /lib/x86_64-linux-gnu/libnvidia-opencl.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-opencl.so.1

ln -sf /lib/x86_64-linux-gnu/libnvidia-allocator.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-allocator.so

ln -sf /lib/x86_64-linux-gnu/libnvidia-allocator.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-allocator.so.1

ln -sf /lib/x86_64-linux-gnu/libnvidia-egl-wayland.so.1.1.13 /lib/x86_64-linux-gnu/libnvidia-egl-wayland.so.1

ln -sf /lib/x86_64-linux-gnu/libOpenCL.so.1.0.0 /lib/x86_64-linux-gnu/libOpenCL.so.1

ln -sf /lib/x86_64-linux-gnu/libnvidia-ptxjitcompiler.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-ptxjitcompiler.so.1

ln -sf /lib/x86_64-linux-gnu/libnvidia-ngx.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-ngx.so.1

ln -sf /lib/x86_64-linux-gnu/libGLX_nvidia.so.560.28.03 /lib/x86_64-linux-gnu/libGLX_nvidia.so.0

ln -sf /lib/x86_64-linux-gnu/libnvidia-opticalflow.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-opticalflow.so

ln -sf /lib/x86_64-linux-gnu/libnvidia-opticalflow.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-opticalflow.so.1

ln -sf /lib/x86_64-linux-gnu/libnvidia-egl-gbm.so.1.1.1 /lib/x86_64-linux-gnu/libnvidia-egl-gbm.so.1

ln -sf /lib/x86_64-linux-gnu/libnvidia-encode.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-encode.so

ln -sf /lib/x86_64-linux-gnu/libnvidia-encode.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-encode.so.1

ln -sf /lib/x86_64-linux-gnu/libnvidia-nvvm.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-nvvm.so

ln -sf /lib/x86_64-linux-gnu/libnvidia-nvvm.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-nvvm.so.4

ln -sf /lib/x86_64-linux-gnu/libnvidia-vksc-core.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-vksc-core.so.1

2.重启docker

3.给驱动库文件赋予访问权限

sudo chmod -R a+r /usr/lib/firmware/nvidia

现在驱动环境已配置完毕。

4.配置emby容器compose

version: "3.x"

services:

  emby:

    image: amilys/embyserver:4.8.9.0

    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)

      - UID=1000 # 设置权限

      - GID=100 # 设置权限

      - GIDLIST=100 # 设置权限

      - NVIDIA_VISIBLE_DEVICES=all # 映射NVIDIA显卡

      - NVIDIA_DRIVER_CAPABILITIES=all # 映射NVIDIA显卡  

    volumes:

      - ./config:/config # Configuration directory

      - /vol2/1000/video:/mnt/video # Media directory

    ports:

      - 8096:8096 # HTTP port

      - 8920:8920 # HTTPS port

    devices:

      - /dev/dri:/dev/dri # VAAPI/NVDEC/NVENC render nodes

    restart: on-failure

~~注意：xinjiawei破解的emby镜像能正确识别显卡，但是无法正确调用转码，目前只能使用这个版本。~~跟这个无关。

参考的飞牛社区文档：https://club.fnnas.com/forum.php?mod=viewthread&tid=14106

https://club.fnnas.com/forum.php?mod=viewthread&tid=32802

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许可协议: CC BY 4.0