AWS Machine Learning Blog

Tag: Kubernetes

Simplify Machine Learning Inference on Kubernetes with Amazon SageMaker Operators

Amazon SageMaker Operators for Kubernetes allows you to augment your existing Kubernetes cluster with SageMaker hosted endpoints. Machine learning inferencing requires investment to create a reliable and efficient service. For an XGBoost model, developers have to create an application, such as through Flask that will load the model and then run the endpoint, which requires […]

Read More

Introducing Amazon SageMaker Operators for Kubernetes

AWS is excited to introduce Amazon SageMaker Operators for Kubernetes in general availability. This new feature makes it easier for developers and data scientists that use Kubernetes to train, tune, and deploy machine learning (ML) models in Amazon SageMaker. You can install these operators on your Kubernetes cluster to create Amazon SageMaker jobs natively using […]

Read More