We love AWS SageMaker!  In fact, PipelineAI fully supports AWS SageMaker, Google Cloud ML Engine, and Azure ML!  

PipelineAI gives you the freedom to choose the best model training and serving environment for your machine learning workloads.

AWS SageMaker gives you the freedom to use any Docker image for model training and model serving.  PipelineAI provides optimized Docker images tuned specifically for SageMaker and the latest AWS GPU instances.

PipelineAI also integrates natively with SageMaker's traffic-routing capabilities to compare models in production.  

In addition to AWS, PipelineAI can also route traffic to Google Cloud ML Engine, Azure ML, and on-premise model servers for maximum prediction privacy and security.

Check out the PipelineAI + AWS SageMaker Quick Start Guide for more information.

Did this answer your question?