nvidia/cuda:13.0.0-tensorrt-devel-ubuntu24.04 (共 1 个镜像)

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📦 镜像列表

nvidia/cuda:13.0.0-tensorrt-devel-ubuntu24.04

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镜像信息如下

• dockerhub-image.yml

registry.cn-hangzhou.aliyuncs.com/images-speed-up/cuda:13.0.0-tensorrt-devel-ubuntu24.04

• images-init.yml

### 📦 镜像列表
nvidia/cuda:13.0.0-tensorrt-devel-ubuntu24.04

典型使用场景Tips

配置镜像加速

20240606之后，应该加速的方式都逐步不可用了
获取阿里云镜像加速地址
根据提示配置镜像加速

sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{
  "registry-mirrors": ["https://xxxx.mirror.aliyuncs.com"]
}
EOF
sudo systemctl daemon-reload
sudo systemctl restart docker

将镜像信息部分的的两个文件保存到本地
然后愉快的使用以下脚本跑起来

联网环境拉取到本地并且tag为原始tag

适用于无法拉取外网地址或拉取外网地址缓慢

img=$(cat dockerhub-image.yml)
for i in ${img[@]}
do
    tagName=$(echo $i | awk -F "/" '{print $NF}');
    docker pull $i;
    sourceTag=$(cat images-init.yml | grep $tagName);
    docker tag $i $sourceTag;
done

联网环境拉取到本地打包

适用于内网环境需要将公网镜像打包到内网镜像仓库

img=$(cat dockerhub-image.yml)
for i in ${img[@]}
do
    tagName=$(echo $i | awk -F "/" '{print $NF}');
    filePrefix=$(echo $tagName | awk -F ":" '{print $1}');
    fileSuffix=$(echo $tagName | awk -F ":" '{print $NF}');
    fileName=$filePrefix--$fileSuffix.gz
    docker pull $i;
    mkdir localImage || echo 0
    docker save $i -o localImage/$fileName 
done
    # tar -zcf localImage.tar.gz localImage

将本地镜像包解压并且上传到私有仓库

# 将压缩好的镜像文件放在localImage目录
img=$(ls localImage)
# 本地仓库信息 LOCAL_REGISTRY 和 LOCAL_NAMESPACE 需要指定
# 如镜像local.harbor.dev/ingress-nginx/kube-webhook-certgen:v1.1.1
# LOCAL_REGISTRY则为：local.harbor.dev
# LOCAL_NAMESPACE则为：ingress-nginx
LOCAL_REGISTRY=
LOCAL_NAMESPACE=
# 首先解压镜像
for i in ${img[@]}
do
    docker load -i $i；
done

# 解压完成后，重新打tag并且上传指定仓库，需要确保需要有对应仓库的权限
img=$(cat dockerhub-image.yml)
for i in ${img[@]}
do
    tagName=$(echo $i | awk -F "/" '{print $NF}');
    specialTag=$LOCAL_REGISTRY/$LOCAL_NAMESPACE/$tagName;
    docker tag $i $specialTag;
    docker push $specialTag;
done