Bring your own pre-trained MXNet or TensorFlow models into Amazon SageMaker Amazon Web Services

Not only does Amazon SageMaker provide easy scalability and distribution to train and host ML models, it is modularized so that the process of training a model is decoupled from deploying the model. This means that models that are trained outside of Amazon SageMaker can be brought into SageMaker only to be deployed. This is very useful if you have models that are already trained, and you want to use only the hosting part of SageMaker instead of the entire pipeline. This is also useful if you don't train your own models, but you buy pre-trained models. This blog post explains how to deploy your own models on Amazon SageMaker that have been trained on TensorFlow or MXNet.