Ubuntu 22.04 LTS 安装nvidia-docker NVIDIA Container Toolkit

安装docker

sudo apt install docker.io

docker info

yeqiang@yeqiang-MS-7B23:~$ sudo docker info

Client:

Context: default

Debug Mode: false

Server:

Containers: 12

Running: 0

Paused: 0

Stopped: 12

Images: 67

Server Version: 20.10.21

Storage Driver: overlay2

Backing Filesystem: xfs

Supports d_type: true

Native Overlay Diff: true

userxattr: false

Logging Driver: json-file

Cgroup Driver: systemd

Cgroup Version: 2

Plugins:

Volume: local

Network: bridge host ipvlan macvlan null overlay

Log: awslogs fluentd gcplogs gelf journald json-file local logentries splunk syslog

Swarm: inactive

Runtimes: runc io.containerd.runc.v2 io.containerd.runtime.v1.linux

Default Runtime: runc

Init Binary: docker-init

containerd version:

runc version:

init version:

Security Options:

apparmor

seccomp

Profile: default

cgroupns

Kernel Version: 5.19.0-50-generic

Operating System: Ubuntu 22.04.2 LTS

OSType: linux

Architecture: x86_64

CPUs: 6

Total Memory: 31.28GiB

Name: yeqiang-MS-7B23

ID: WBWU:NTCF:2B5D:VXMX:DYYI:PUYQ:WL2A:7SAJ:5ZS2:LYIZ:VM7A:DIHQ

Docker Root Dir: /home/docker

Debug Mode: false

Registry: https://index.docker.io/v1/

Labels:

Experimental: false

Insecure Registries:

127.0.0.0/8

Live Restore Enabled: false

安装NVIDIA Container Toolkit

配置apt源

distribution=$(. /etc/os-release;echo $ID$VERSION_ID)

curl -s -L https://nvidia.github.io/libnvidia-container/gpgkey | sudo apt-key add -

curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list

安装nvidia-container-toolkit

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

安装日志

命中:1 http://mirrors.tuna.tsinghua.edu.cn/ubuntu jammy InRelease

命中:2 http://packages.microsoft.com/repos/code stable InRelease

命中:3 https://dl.google.com/linux/chrome/deb stable InRelease

命中:4 http://mirrors.tuna.tsinghua.edu.cn/ubuntu jammy-updates InRelease

获取:5 https://nvidia.github.io/libnvidia-container/stable/ubuntu18.04/amd64 InRelease [1,484 B]

命中:6 http://mirrors.tuna.tsinghua.edu.cn/ubuntu jammy-backports InRelease

命中:7 http://mirrors.tuna.tsinghua.edu.cn/ubuntu jammy-security InRelease

命中:8 http://security.ubuntu.com/ubuntu jammy-security InRelease

命中:9 http://mirrors.tuna.tsinghua.edu.cn/ubuntu jammy-proposed InRelease

获取:10 https://nvidia.github.io/libnvidia-container/stable/ubuntu18.04/amd64 Packages [29.2 kB]

已下载 30.7 kB，耗时 1秒 (28.0 kB/s)

正在读取软件包列表... 完成

W: https://nvidia.github.io/libnvidia-container/stable/ubuntu18.04/amd64/InRelease: 密钥存储在过时的 trusted.gpg 密钥环中（/etc/apt/trusted.gpg），请参见 apt-key(8) 的 DEPRECATION 一节以了解详情。

正在读取软件包列表... 完成

正在分析软件包的依赖关系树... 完成

正在读取状态信息... 完成

将会同时安装下列软件：

libnvidia-container-tools libnvidia-container1 nvidia-container-toolkit-base

下列【新】软件包将被安装：

libnvidia-container-tools libnvidia-container1 nvidia-container-toolkit nvidia-container-toolkit-base

升级了 0 个软件包，新安装了 4 个软件包，要卸载 0 个软件包，有 71 个软件包未被升级。

需要下载 4,050 kB 的归档。

解压缩后会消耗 15.7 MB 的额外空间。

获取:1 https://nvidia.github.io/libnvidia-container/stable/ubuntu18.04/amd64 libnvidia-container1 1.13.5-1 [928 kB]

获取:2 https://nvidia.github.io/libnvidia-container/stable/ubuntu18.04/amd64 libnvidia-container-tools 1.13.5-1 [24.9 kB]

获取:3 https://nvidia.github.io/libnvidia-container/stable/ubuntu18.04/amd64 nvidia-container-toolkit-base 1.13.5-1 [2,244 kB]

获取:4 https://nvidia.github.io/libnvidia-container/stable/ubuntu18.04/amd64 nvidia-container-toolkit 1.13.5-1 [853 kB]

已下载 4,050 kB，耗时 12秒 (337 kB/s)

正在选中未选择的软件包 libnvidia-container1:amd64。

(正在读取数据库 ... 系统当前共安装有 263151 个文件和目录。)

准备解压 .../libnvidia-container1_1.13.5-1_amd64.deb ...

正在解压 libnvidia-container1:amd64 (1.13.5-1) ...

正在选中未选择的软件包 libnvidia-container-tools。

准备解压 .../libnvidia-container-tools_1.13.5-1_amd64.deb ...

正在解压 libnvidia-container-tools (1.13.5-1) ...

正在选中未选择的软件包 nvidia-container-toolkit-base。

准备解压 .../nvidia-container-toolkit-base_1.13.5-1_amd64.deb ...

正在解压 nvidia-container-toolkit-base (1.13.5-1) ...

正在选中未选择的软件包 nvidia-container-toolkit。

准备解压 .../nvidia-container-toolkit_1.13.5-1_amd64.deb ...

正在解压 nvidia-container-toolkit (1.13.5-1) ...

正在设置 nvidia-container-toolkit-base (1.13.5-1) ...

正在设置 libnvidia-container1:amd64 (1.13.5-1) ...

正在设置 libnvidia-container-tools (1.13.5-1) ...

正在设置 nvidia-container-toolkit (1.13.5-1) ...

正在处理用于 libc-bin (2.35-0ubuntu3.2) 的触发器 ...

验证安装

root@yeqiang-MS-7B23:~# systemctl restart docker

root@yeqiang-MS-7B23:~# docker run --rm -it --gpus all ubuntu:22.04 /bin/bash

root@cad0abb4936b:/# nvidia-smi

Tue Aug 1 00:57:29 2023

+-----------------------------------------------------------------------------+

| NVIDIA-SMI 520.61.05 Driver Version: 520.61.05 CUDA Version: 11.8 |

|-------------------------------+----------------------+----------------------+

| 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 ... Off | 00000000:01:00.0 On | N/A |

| 0% 51C P8 21W / 160W | 528MiB / 6144MiB | 29% Default |

| | | N/A |

+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+

| Processes: |

| GPU GI CI PID Type Process name GPU Memory |

| ID ID Usage |

|=============================================================================|

+-----------------------------------------------------------------------------+

root@cad0abb4936b:/#

参考资料：

Installation Guide — container-toolkit 1.13.5 documentation

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