SageMaker Operators for Kubernetes (ACK)
SageMaker Operators for Kubernetes (ACK) make it easier for developers and data scientists using Kubernetes to train, tune, and deploy machine learning (ML) models using Amazon SageMaker. ACK lets you define and use AWS service resources directly from Kubernetes. With ACK, you can take advantage of AWS-managed services for your Kubernetes applications without needing to define resources outside of the cluster or run services that provide supporting capabilities like databases or message queues within the cluster.
Tutorials
SageMaker Operators for Kubernetes (ACK) comes installed with all deployment options for Kubeflow on AWS.
For examples on using the SageMaker Operators for Kubernetes (ACK), see the following tutorials:
Use SageMaker Operators for Kubernetes (ACK) to manage your SageMaker resources from your Kubernetes cluster directly or from AWS-optimized Kubeflow Notebooks that are built on top of AWS Deep Learning Containers.