AWS SageMaker Model Hosting Service

An AWS SageMaker Model Hosting Service is a model hosting service that is an AWS SageMaker service (a fully managed end-to-end machine learning service).

• Context:
  • It can (typically) reference a Trained SageMaker Model.
  • …
• Example(s):
  • AWS SageMaker (2017-11-29).
  • …
• Counter-Example(s):
  • SageMaker Model Authoring Service, SageMaker Model Hosting Service, ...
  • AWS Machine Learning.
  • Azure ML Studio.
  • H2O ML Platform.
• See: Jupyter Notebook, Anaconda Enterprise.

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References

2017

• http://aws.amazon.com/blogs/aws/sagemaker/
  • QUOTE: Authoring: Zero-setup hosted Jupyter notebook IDEs for data exploration, cleaning, and preprocessing. You can run these on general instance types or GPU powered instances.
    • Model Hosting: A model hosting service with HTTPs endpoints for invoking your models to get realtime inferences. These endpoints can scale to support traffic and allow you to A/B test multiple models simultaneously. Again, you can construct these endpoints using the built-in SDK or provide your own configurations with Docker images.

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