PLEX-DOCKER部署支持硬解码
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2024-10-19
显卡驱动安装
系统:ubuntu23.04
显卡:英伟达RTX2060
输入以下命令安装:
## 搜索最适合的显卡驱动
root@hzaw-pt:~# nvidia-detector
nvidia-driver-535
## 安装驱动
root@hzaw-pt:~# apt-get install -y nvidia-driver-535
## 安装完成后重启,并运行以下命令查看是否启动成功
root@hzaw-pt:~# nvidia-smi
Sun Sep 24 21:57:17 2023
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.86.05 Driver Version: 535.86.05 CUDA Version: 12.2 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA GeForce RTX 2060 Off | 00000000:09:00.0 Off | N/A |
| 0% 45C P8 3W / 160W | 14MiB / 6144MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| 0 N/A N/A 1446 G /usr/lib/xorg/Xorg 9MiB |
| 0 N/A N/A 1545 G /usr/bin/gnome-shell 2MiB |
+---------------------------------------------------------------------------------------+
## 安装DOCKER显卡协助工具
## 切换显卡仓库
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://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list \
&& \
sudo apt-get update
## 安装显卡驱动
sudo apt-get install -y nvidia-container-toolkit
## 安装docker 显卡依赖
sudo apt-get install -y nvidia-docker2
sudo systemctl restart docker
## 测试容器显卡驱动
sudo docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi
安装PLEX,并打开显卡驱动
version: "3.8"
services:
plex:
image: lscr.io/linuxserver/plex:##指定版本##
container_name: plex-gpu
network_mode: host
deploy:
resources:
reservations:
devices:
- capabilities: [gpu]
environment:
- PUID=0
- PGID=0
- TZ=Asia/Shanghai
- VERSION=docker
- PLEX_CLAIM=##plex密钥##
- NVIDIA_VISIBLE_DEVICES=all
- NVIDIA_DRIVER_CAPABILITIES=all
volumes:
- /mnt/video03/plex/video/anime:/anime
- /mnt/video03/plex/config:/config
- /mnt/video03/plex/streaming/ltab:/ltab
- /mnt/video03/plex/video/movie:/movie
- /mnt/video03/plex/streaming/music:/music
- /mnt/video03/plex/transcode:/transcode
- /mnt/video03/plex/video/tv:/tv
restart: unless-stopped
后台启动
docker-compose up -d
停止并删除容器
docker-compose down
docker19 之后容器默认支持显卡驱动
docker run -d \
--name=plex \
--gpus all \
--net=host \
-e PLEX_UID=0 \
-e PLEX_GID=0 \
-e TZ=Asia/Shanghai \
-e VERSION=docker \
-e NVIDIA_VISIBLE_DEVICES=all \
-e NVIDIA_DRIVER_CAPABILITIES=all \
-e PLEX_CLAIM=claim-S_mzLQfFXfyy-KL-sS-a \
-v /mnt/video03/plex/config:/config \
-v /mnt/video03/plex/video/anime:/anime \
-v /mnt/video03/plex/video/movie:/movie \
-v /mnt/video03/plex/video/tv:/tv \
-v /mnt/video03/plex/streaming/ltab:/ltab \
-v /mnt/video03/plex/streaming/music:/music \
-v /mnt/video03/plex/transcode:/transcode \
--restart unless-stopped \
plexinc/pms-docker:1.32.6.7557-1cf77d501
参考文献:
Plex transcoding with Docker – NVIDIA GPU : https://tizutech.com/plex-transcoding-with-docker-nvidia-gpu/
Installing the NVIDIA Container Toolkit : https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html
docker plex docker plex nvidia: https://blog.51cto.com/u_16099186/6501823
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