by
Mihai1
• New Contributor III
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When is MLflow Model Serving on Azure Databricks expected to become General Available?
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Latest Reply
Hello Mihai,We plan to GA, Model serving by end of this year as we are working on a lot of improvements.
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How to deploy real-time model on databricks at scale? Right now, The model serving is very limited to 20 requests per second. Also, There are no model monitoring framework/graphs like the one's provided with AzureML or Sagemaker frameworks.
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I believe the next update to serving will include 1, not 2 (this is still within a Databricks workspace in a region). I don't think multi-model endpoints are on the roadmap next.How does Airflow integration relate?
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