Deploy a ML model, trained and registered in Databricks to AKS

yopbibo
Contributor II

‎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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Debayan
Databricks Employee
Databricks Employee

‎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.

yopbibo
Contributor II
In response to Debayan

‎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

sidharthpradhan
New Contributor II

‎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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