Deploy a ML model, trained and registered in Databricks to AKS
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09-02-2022 06:53 AM
Hi,
I can train, registered a ML Model in my Datbricks Workspace.
Then, to deploy it on AKS, I need to register the model in Azure ML, and then, deploy to AKS.
Is it possible to skip the Azure ML step?
I would like to deploy directly into my AKS instance, without registering in AML.
Thanks!
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09-02-2022 03:18 PM
Hi, Thanks for reaching out to Databricks.
Registering a model can be done, and it is not mentioned if it is optional or not in Microsoft documents.
Reference : https://docs.microsoft.com/en-gb/azure/databricks/applications/mlflow/models#register-models-in-the-...y.
As you will be deploying it in AKS, it will be better to reach out to Microsoft support on the same.
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09-03-2022 01:58 AM
ok, thanks!
I will ask them.
I wish I could serve my models directly in Databricks, but still missing some features
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11-18-2024 03:11 PM - edited 11-18-2024 03:13 PM
Is it still the case, can't we serve the model in Databricks. I am new to this, so I am just wondering the capabilities.
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