Deploy model:MedImageInsight in Azure Foundry Error: ResourceOperationFailure: User container has crashed or terminated

BruceLiMedalsoft-2694 0 Reputation points
2025-12-23T08:04:32.8133333+00:00

ARM error log

2025-12-23T06:31:45Z User container has crashed or terminated. Please see troubleshooting guide, available here: https://aka.ms/oe-tsg#error-resourcenotready

Please help me solve it

Azure Machine Learning
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  1. Q&A Assist
    2025-12-23T08:04:39.9966667+00:00
    AI generated content. This question contains an answer created with AI from Q&A Assist. Learn more

    The error message you are encountering, "ResourceOperationFailure: User container has crashed or terminated," indicates that the deployment of the MedImageInsight model in Azure Foundry has failed due to the user container crashing. This can happen for several reasons, including issues with the model itself, insufficient resources, or misconfiguration in the deployment settings.

    To troubleshoot this issue, you can follow these steps:

    1. Check the Build Logs: Look for any errors in the build logs related to the model deployment. This can provide insights into what went wrong during the deployment process.
    2. Resource Allocation: Ensure that the resources allocated to the container (such as CPU and memory) are sufficient for the model's requirements. You may need to increase these limits.
    3. Environment Configuration: Verify that the environment settings are correctly configured, including dependencies and any required environment variables.
    4. Test the Model Locally: If possible, test the model locally to ensure that it runs without issues outside of the Azure environment.
    5. Consult Documentation: Refer to the troubleshooting guide provided by Azure for more specific guidance on resolving deployment issues.

    If the problem persists, consider reaching out to Azure support for further assistance.


    References:

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