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InferenceComponentStartupParameters

Source code in docs_src/capo_sagemaker/types/inference_component_startup_parameters.py 
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class InferenceComponentStartupParameters(TypedDict, closed=True):
    model_data_download_timeout_in_seconds: NotRequired[
        "capo_sagemaker.types.production_variant_model_data_download_timeout_in_seconds.ProductionVariantModelDataDownloadTimeoutInSeconds"
    ]
    """<p>The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this inference component.</p>"""
    container_startup_health_check_timeout_in_seconds: NotRequired[
        "capo_sagemaker.types.production_variant_container_startup_health_check_timeout_in_seconds.ProductionVariantContainerStartupHealthCheckTimeoutInSeconds"
    ]
    """<p>The timeout value, in seconds, for your inference container to pass health check by Amazon S3 Hosting. For more information about health check, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-inference-code.html#your-algorithms-inference-algo-ping-requests">How Your Container Should Respond to Health Check (Ping) Requests</a>.</p>"""

container_startup_health_check_timeout_in_seconds instance-attribute 

container_startup_health_check_timeout_in_seconds: NotRequired[
    ProductionVariantContainerStartupHealthCheckTimeoutInSeconds
]

The timeout value, in seconds, for your inference container to pass health check by Amazon S3 Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests.

model_data_download_timeout_in_seconds instance-attribute 

model_data_download_timeout_in_seconds: NotRequired[
    ProductionVariantModelDataDownloadTimeoutInSeconds
]

The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this inference component.