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    <title>topic MLflow Model Serving on Azure Databricks in Machine Learning</title>
    <link>https://community.databricks.com/t5/machine-learning/mlflow-model-serving-on-azure-databricks/m-p/17785#M968</link>
    <description>&lt;P&gt;I know that in the documentation about model serving says.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;The cluster is maintained as long as serving is enabled, even if no active model version exists. To terminate the serving cluster, disable model serving for the registered model.&lt;/LI&gt;&lt;LI&gt;The cluster is considered an all-purpose cluster, subject to all-purpose workload pricing.&lt;/LI&gt;&lt;LI&gt;&lt;A href="https://docs.microsoft.com/en-us/azure/databricks/clusters/init-scripts#init-script-types" alt="https://docs.microsoft.com/en-us/azure/databricks/clusters/init-scripts#init-script-types" target="_blank"&gt;Global init scripts&lt;/A&gt;&amp;nbsp;are not run on serving clusters.&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;In order to try to save cost, I want to ask if someone know or has checked  a way  to start/stop those Job clusters via Scheduling feature in ADB?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Can we use same cluster for different model?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
    <pubDate>Mon, 13 Jun 2022 16:01:45 GMT</pubDate>
    <dc:creator>jhonw901227</dc:creator>
    <dc:date>2022-06-13T16:01:45Z</dc:date>
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      <title>MLflow Model Serving on Azure Databricks</title>
      <link>https://community.databricks.com/t5/machine-learning/mlflow-model-serving-on-azure-databricks/m-p/17785#M968</link>
      <description>&lt;P&gt;I know that in the documentation about model serving says.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;The cluster is maintained as long as serving is enabled, even if no active model version exists. To terminate the serving cluster, disable model serving for the registered model.&lt;/LI&gt;&lt;LI&gt;The cluster is considered an all-purpose cluster, subject to all-purpose workload pricing.&lt;/LI&gt;&lt;LI&gt;&lt;A href="https://docs.microsoft.com/en-us/azure/databricks/clusters/init-scripts#init-script-types" alt="https://docs.microsoft.com/en-us/azure/databricks/clusters/init-scripts#init-script-types" target="_blank"&gt;Global init scripts&lt;/A&gt;&amp;nbsp;are not run on serving clusters.&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;In order to try to save cost, I want to ask if someone know or has checked  a way  to start/stop those Job clusters via Scheduling feature in ADB?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Can we use same cluster for different model?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 13 Jun 2022 16:01:45 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/mlflow-model-serving-on-azure-databricks/m-p/17785#M968</guid>
      <dc:creator>jhonw901227</dc:creator>
      <dc:date>2022-06-13T16:01:45Z</dc:date>
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