Azure Machine Learning deployed serverless models all retuning internal server error

Taylor, Russell 26 Reputation points
2025-03-04T13:47:19.63+00:00

At some point between last Friday (27th Feb) and the morning of Friday (28th Feb) the models we have deployed as serverless endpoints on Azure ML in US East 2 stopped working.

When testing the cohere V3 english embedding model in Azure ML studio the following error is returned:

User's image

If attempting to make a REST request via postman, powershell, python etc a 500 response code and the same error text is returned.

Nothing has changed on the Azure ML service instance or any of its dependencies which leaves me to believe this is a server side issue on the serverless managed endpoints platform.

I have tried deploying new endpoints and various serverless models from the catalog and all result in the same , internal sever error when trying to interact with the model endpoints.

If someone from Azure reads this please advise if there is a general issue with the platform, there is no issues reporting on the Azure Status page, on the Azure Portal or within the AI Studio to enlighten the customer on what is going on.

Azure Machine Learning
Azure Machine Learning
An Azure machine learning service for building and deploying models.
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  1. Amira Bedhiafi 29,711 Reputation points
    2025-03-04T20:47:41.94+00:00

    I think the same problem seems to have started the last few days if I remember correctly.

    Despite no changes being made to the Azure ML service instance or its dependencies, the issue persists across various serverless models and newly deployed endpoints. This suggests a potential server-side problem with the serverless managed endpoints platform.

    If you are experiencing this issue, I recommend that you reach out to Azure support for further assistance.


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