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Failed to deploy to Endpoint

A few days ago I was able to deploy my Tensorflow model to an endpoint with no issues, though now I am trying again and have had no luck. I have now been trying to deploy to an endpoint for 5 straight days, trying every region in the United States, and am receiving the same message:

Failed to create endpoint  due to the error: Model server terminated: model server container terminated: exit_code: 139 reason: "Error" started_at { seconds: } finished_at { seconds: } . 

Does anyone have any advice for deploying a model to an endpoint through the developer portal? Or is the only solution to keep trying to get an endpoint to deploy the same way that I have been trying?

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1 REPLY 1

Hi,

You might be needing to contact GCP support for this to properly troubleshoot your issue. But keep in mind that you will be needing at least Standard Support to create a case and have a dedicated support representative to help you with your issue.