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    <title>topic Job cluster failed to start with custom docker image in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/job-cluster-failed-to-start-with-custom-docker-image/m-p/4230#M1004</link>
    <description>&lt;P&gt;Using Databricks Container Services, we have created two custom docker image: one based on nvidia/cuda:11.8.0-runtime-ubuntu22.04 and another based on databricksruntime/standard:12.2-LTS. In either case, we got this error with no specific diagnostics:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Run result unavailable: run failed with error message&lt;/P&gt;&lt;P&gt; Unexpected failure while waiting for the cluster (***-xxxxxx-xxxxxxxx) to be ready: Cluster ***-xxxxxx-xxxxxxxx is in unexpected state Terminated: CONTAINER_LAUNCH_FAILURE(SERVICE_FAULT): instance_id:i-xxxxxxxxxxxxxxxxx,databricks_error_message:Failed to launch spark container on instance xxxxxxxxxxxxxxxxx. Exception: Unexpected internal error, please contact Databricks support.&lt;/P&gt;</description>
    <pubDate>Wed, 17 May 2023 16:02:29 GMT</pubDate>
    <dc:creator>ppang</dc:creator>
    <dc:date>2023-05-17T16:02:29Z</dc:date>
    <item>
      <title>Job cluster failed to start with custom docker image</title>
      <link>https://community.databricks.com/t5/data-engineering/job-cluster-failed-to-start-with-custom-docker-image/m-p/4230#M1004</link>
      <description>&lt;P&gt;Using Databricks Container Services, we have created two custom docker image: one based on nvidia/cuda:11.8.0-runtime-ubuntu22.04 and another based on databricksruntime/standard:12.2-LTS. In either case, we got this error with no specific diagnostics:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Run result unavailable: run failed with error message&lt;/P&gt;&lt;P&gt; Unexpected failure while waiting for the cluster (***-xxxxxx-xxxxxxxx) to be ready: Cluster ***-xxxxxx-xxxxxxxx is in unexpected state Terminated: CONTAINER_LAUNCH_FAILURE(SERVICE_FAULT): instance_id:i-xxxxxxxxxxxxxxxxx,databricks_error_message:Failed to launch spark container on instance xxxxxxxxxxxxxxxxx. Exception: Unexpected internal error, please contact Databricks support.&lt;/P&gt;</description>
      <pubDate>Wed, 17 May 2023 16:02:29 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/job-cluster-failed-to-start-with-custom-docker-image/m-p/4230#M1004</guid>
      <dc:creator>ppang</dc:creator>
      <dc:date>2023-05-17T16:02:29Z</dc:date>
    </item>
    <item>
      <title>Re: Job cluster failed to start with custom docker image</title>
      <link>https://community.databricks.com/t5/data-engineering/job-cluster-failed-to-start-with-custom-docker-image/m-p/4231#M1005</link>
      <description>&lt;P&gt;I managed to get databricksruntime/standard:12.2-LTS to run in Databricks. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;However, for the CUDA image (nvidia/cuda:11.8.0-runtime-ubuntu22.04), I have only managed to get it to run with Databricks runtime 10.4 LTS. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Does anyone know if Databricks runtime 11.3 LTS and above supported CUDA images with Databricks container service?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Sat, 20 May 2023 22:16:57 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/job-cluster-failed-to-start-with-custom-docker-image/m-p/4231#M1005</guid>
      <dc:creator>ppang</dc:creator>
      <dc:date>2023-05-20T22:16:57Z</dc:date>
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