除了亞馬遜官網(wǎng)的文章
https://docs.aws.amazon.com/zh_cn/sagemaker/latest/dg/ex1-model-deployment.html
https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/machinelearning-pattern-list.html，還有這些：
Pytorch學(xué)習(xí)
https://sagemaker.readthedocs.io/en/stable/frameworks/pytorch/using_pytorch.html

推理容器
https://docs.aws.amazon.com/sagemaker/latest/dg/adapt-inference-container.html
https://docs.aws.amazon.com/sagemaker/latest/dg/prebuilt-containers-extend.html

ML 模型容器
https://github.com/aws/deep-learning-containers/tree/master/pytorch

異步推理
https://docs.aws.amazon.com/sagemaker/latest/dg/async-inference.html

在線部署AWS服務(wù)的話，還需要了解存儲/權(quán)限等其他基礎(chǔ)設(shè)施服務(wù)：
存儲
https://docs.aws.amazon.com/AmazonS3/latest/userguide/add-bucket-policy.html
權(quán)限
https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_create_for-service.html#roles-creatingrole-service-console
鏡像
https://github.com/aws/deep-learning-containers/blob/master/available_images.md

• 自用賬號別忘了注銷服務(wù)：永久關(guān)閉亞馬遜云AmazonAWS并解除信用卡綁定防止被扣費(fèi)

• 權(quán)限問題
  使用時(shí)有遇到在notebook里無法使用S3的文件，首先，bucket的根目錄的名字需要以"sagemaker-"開頭。見:Unable to access data from S3 bucket to jupyter notebook of aws sagemaker
  
  如果還不行的話，就設(shè)置一下相關(guān)的權(quán)限，對應(yīng)文章：
  https://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler-security.html
  Block public access (bucket settings) 也設(shè)置成off, 以s3的bucket配置：

https://us-east-1.console.aws.amazon.com/iamv2/home?region=us-east-1#/users/details/xxx?section=permissions
IAM->Users->xxx的permissions的tab下增加權(quán)限
{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "VisualEditor0",
            "Effect": "Allow",
            "Action": [
                "s3:ListAccessPointsForObjectLambda",
                "s3:GetAccessPoint",
                "s3:PutAccountPublicAccessBlock",
                "s3:ListAccessPoints",
                "s3:CreateStorageLensGroup",
                "s3:ListJobs",
                "s3:PutStorageLensConfiguration",
                "s3:ListMultiRegionAccessPoints",
                "s3:ListStorageLensGroups",
                "s3:ListStorageLensConfigurations",
                "s3:GetAccountPublicAccessBlock",
                "s3:ListAllMyBuckets",
                "s3:ListAccessGrantsInstances",
                "s3:PutAccessPointPublicAccessBlock",
                "s3:CreateJob"
            ],
            "Resource": "*"
        },
        {
            "Sid": "VisualEditor1",
            "Effect": "Allow",
            "Action": "s3:*",
            "Resource": "arn:aws:s3:::*"
        }
    ]
}

https://us-east-1.console.aws.amazon.com/iamv2/home?region=us-east-1#/policies/details/arn%3Aaws%3Aiam%3A%3A931637612418%3Apolicy%2Fservice-role%2FAmazonSageMaker-ExecutionPolicy-xxx/edit/v1/
IAM
Policies
AmazonSageMaker-ExecutionPolicy-20250416T160340
Edit policy



{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Action": [
                "s3:ListBucket"
            ],
            "Effect": "Allow",
            "Resource": [
                "arn:aws:s3:::SageMaker"
            ]
        },
        {
            "Action": [
                "s3:GetObject",
                "s3:PutObject",
                "s3:DeleteObject"
            ],
            "Effect": "Allow",
            "Resource": [
                "arn:aws:s3:::SageMaker/*"
            ]
        }
    ]
}