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A hypermarket wants to construct a computer vision model to classify different product images into 40 unique products to organize their warehouse using robots. An image dataset was already collected by the hypermarket and a machine learning specialist was hired for this role. The specialist trained the model on Amazon SageMaker using its ready-made Pytorch container. The model should be deployed on a SageMaker endpoint in which the hypermarket could request it anytime from any of its branches. The model should be available throughout the day as it will be used by robots. The model consists of a pre-processing, predictions, and post-processing containers. Which method should the specialist use for inference deployment?