Model

The containers in the inference pipeline.

Type: Array of ContainerDefinition objects

Array Members: Maximum number of 15 items.

Required: No

A timestamp that indicates when the model was created.

Type: Timestamp

Required: No

A set of recommended deployment configurations for the model.

Type: DeploymentRecommendation object

Required: No

Isolates the model container. No inbound or outbound network calls can be made to or from the model container.

Type: Boolean

Required: No

The Amazon Resource Name (ARN) of the IAM role that you specified for the model.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: ^arn:aws[a-z\-]*:iam::\d{12}:role/?[a-zA-Z_0-9+=,.@\-_/]+$

Required: No

Specifies details about how containers in a multi-container endpoint are run.

Type: InferenceExecutionConfig object

Required: No

The Amazon Resource Name (ARN) of the model.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:model/.*

Required: No

The name of the model.

Type: String

Length Constraints: Maximum length of 63.

Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9])*

Required: No

Describes the container, as part of model definition.

Type: ContainerDefinition object

Required: No

A list of key-value pairs associated with the model. For more information, see Tagging Amazon resources in the Amazon General Reference Guide.

Type: Array of Tag objects

Array Members: Minimum number of 0 items. Maximum number of 50 items.

Required: No

Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud and Protect Training Jobs by Using an Amazon Virtual Private Cloud.

Type: VpcConfig object

Required: No