AWS::SageMaker::InferenceComponent InferenceComponentContainerSpecification - AWS CloudFormation
SyntaxProperties

AWS::SageMaker::InferenceComponent InferenceComponentContainerSpecification

Defines a container that provides the runtime environment for a model that you deploy with an inference component.

Syntax

To declare this entity in your AWS CloudFormation template, use the following syntax:

JSON

{
  "ArtifactUrl" : String,
  "DeployedImage" : DeployedImage,
  "Environment" : {Key: Value, ...},
  "Image" : String
}

YAML

  ArtifactUrl: String
  DeployedImage: 
    DeployedImage
  Environment: 
    Key: Value
  Image: String

Properties

ArtifactUrl

The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

Required: No

Type: String

Pattern: ^(https|s3)://([^/]+)/?(.*)$

Maximum: 1024

Update requires: No interruption

DeployedImage

Property description not available.

Required: No

Type: DeployedImage

Update requires: No interruption

Environment

The environment variables to set in the Docker container. Each key and value in the Environment string-to-string map can have length of up to 1024. We support up to 16 entries in the map.

Required: No

Type: Object of String

Pattern: ^[a-zA-Z_][a-zA-Z0-9_]{1,1024}$

Maximum: 1024

Update requires: No interruption

Image

The Amazon Elastic Container Registry (Amazon ECR) path where the Docker image for the model is stored.

Required: No

Type: String

Pattern: [\S]+

Maximum: 255

Update requires: No interruption