CreateInferenceComponentInput ¶

class CreateInferenceComponentInput(TypedDict, closed=True):
    inference_component_name: NotRequired[
        "capo_sagemaker.types.inference_component_name.InferenceComponentName"
    ]
    """<p>A unique name to assign to the inference component.</p>"""
    endpoint_name: NotRequired["capo_sagemaker.types.endpoint_name.EndpointName"]
    """<p>The name of an existing endpoint where you host the inference component.</p>"""
    variant_name: NotRequired["capo_sagemaker.types.variant_name.VariantName"]
    """<p>The name of an existing production variant where you host the inference component.</p>"""
    specification: NotRequired[
        "capo_sagemaker.types.inference_component_specification.InferenceComponentSpecification"
    ]
    """<p>Details about the resources to deploy with this inference component, including the model, container, and compute resources.</p>"""
    specifications: NotRequired[
        "capo_sagemaker.types.inference_component_specification_list.InferenceComponentSpecificationList"
    ]
    """<p>A list of specification objects for the inference component, one per instance type. Use this parameter when you want to deploy a different model or resource configuration for the inference component on each instance type. You can use either this parameter or the singular <code>Specification</code> parameter, but not both.</p>"""
    runtime_config: NotRequired[
        "capo_sagemaker.types.inference_component_runtime_config.InferenceComponentRuntimeConfig"
    ]
    """<p>Runtime settings for a model that is deployed with an inference component.</p>"""
    tags: NotRequired["capo_sagemaker.types.tag_list.TagList"]
    """<p>A list of key-value pairs associated with the model. For more information, see <a href="https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html">Tagging Amazon Web Services resources</a> in the <i>Amazon Web Services General Reference</i>.</p>"""