Reduce the time taken to deploy your models to Amazon SageMaker for testing

Data scientists often train their models locally and look for a proper hosting service to deploy their models. Unfortunately, there's no one set mechanism or guide to deploying pre-trained models to the cloud. In this post, we look at deploying trained models to Amazon SageMaker hosting to reduce your deployment time. SageMaker is a fully managed machine learning (ML) service. With SageMaker, you can quickly build and train ML models and directly deploy them into a production-ready hosted environment.