linux/Ubuntu安装Docker.md

前提条件

• 系统：Ubuntu 22.04
• 架构：x86_x64

安装必要工具

sudo apt update && sudo apt install -y ca-certificates curl gnupg lsb-release

添加 Docker 的官方 GPG 密钥

先检查是否包含相关目录

ls /etc/apt/keyrings

如果没有则创建

sudo install -m 0755 -d /etc/apt/keyrings

下载并保存

curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg

设置 Docker 仓库

echo \
  "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
  $(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \
  sudo tee /etc/apt/sources.list.d/docker.list > /dev/null

更新并安装

sudo apt update

sudo apt install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin

docker -v

配置 Docker 代理服务（可选）

sudo mkdir -p /etc/systemd/system/docker.service.d

sudo nano /etc/systemd/system/docker.service.d/http-proxy.conf

[Service]
Environment="HTTP_PROXY=http://192.168.31.9:7890"
Environment="HTTPS_PROXY=http://192.168.31.9:7890"
Environment="NO_PROXY=localhost,127.0.0.1,::1,docker-registry.somecorporation.com"

sudo systemctl daemon-reload

sudo systemctl restart docker

验证代理配置是否生效

sudo systemctl show --property=Environment docker

配置 NVIDIA 容器环境（可选）

添加 NVIDIA 包仓库

curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit.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.gpg] https://#g' | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list

sudo apt update

安装 NVIDIA 容器工具包

sudo apt install -y nvidia-container-toolkit

配置 NVIDIA 运行时

sudo nvidia-ctk runtime configure --runtime=docker

sudo systemctl restart docker

测试是否能识别

docker run --rm --gpus all nvidia/cuda:12.4.1-base-ubuntu22.04 nvidia-smi