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SageMakerEndpoint

Source code in docs_src/capo_bedrock/types/sage_maker_endpoint.py 
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class SageMakerEndpoint(TypedDict, closed=True):
    initial_instance_count: "capo_bedrock.types.instance_count.InstanceCount"
    """<p>The number of Amazon EC2 compute instances to deploy for initial endpoint creation.</p>"""
    instance_type: "capo_bedrock.types.instance_type.InstanceType"
    """<p>The Amazon EC2 compute instance type to deploy for hosting the model.</p>"""
    execution_role: "capo_bedrock.types.role_arn.RoleArn"
    """<p>The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on Amazon EC2 compute instances or for batch transform jobs.</p>"""
    kms_encryption_key: NotRequired["capo_bedrock.types.kms_key_id.KmsKeyId"]
    """<p>The Amazon Web Services KMS key that Amazon SageMaker uses to encrypt data on the storage volume attached to the Amazon EC2 compute instance that hosts the endpoint.</p>"""
    vpc: NotRequired["capo_bedrock.types.vpc_config.VpcConfig"]
    """<p>The VPC configuration for the endpoint.</p>"""

execution_role instance-attribute 

execution_role: RoleArn

The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on Amazon EC2 compute instances or for batch transform jobs.

initial_instance_count instance-attribute 

initial_instance_count: InstanceCount

The number of Amazon EC2 compute instances to deploy for initial endpoint creation.

instance_type instance-attribute 

instance_type: InstanceType

The Amazon EC2 compute instance type to deploy for hosting the model.

kms_encryption_key instance-attribute 

kms_encryption_key: NotRequired[KmsKeyId]

The Amazon Web Services KMS key that Amazon SageMaker uses to encrypt data on the storage volume attached to the Amazon EC2 compute instance that hosts the endpoint.

vpc instance-attribute 

vpc: NotRequired[VpcConfig]

The VPC configuration for the endpoint.