AWS SageMaker Model Hosting Service
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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):
- Counter-Example(s):
- See: Jupyter Notebook, Anaconda Enterprise.
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.
- 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.