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Outerbounds

~Re: live model serving~

~As others have mentioned in <https://github.com/Netflix/metaflow/issues/3|this GH issue>; it is possible to do model deployment as an "end" step in a workflow.~

~Our team is curious if abstracting deployment to common live model serving targets such as Sagemaker is on Metaflow's near term roadmap at all? We noticed MLFlow <https://mlflow.org/docs/latest/python_api/mlflow.sagemaker.html#|does this>~

nvm found this! <https://outerbounds.com/docs/deploy-with-sagemaker/>

yep, feel free to ask if you need any help with it!