Error Deploying the Claude Opus 5 Model in AI Foundry

YAO Li 0 Reputation points
2026-08-03T06:27:26.0466667+00:00

Deploy the Claude Opus 5 model

deployment type set to "Global Standard" and model version 2**
The error message is:** Unable to create the deployment. Encountered an internal server error. Please try again.

We switched to Microsoft Edge and tried again, but encountered the same error. The issue was also reproducible in InPrivate/incognito mode.

We would appreciate your support in resolving this issue. Thank you.

Microsoft Foundry
Microsoft Foundry

A unified Azure platform for creating and managing AI models, agents, and applications with built‑in enterprise security, monitoring, and governance

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  1. Jerald Felix 18,360 Reputation points Volunteer Moderator
    2026-08-03T17:09:03.69+00:00

    Hello YAO Li,

    Greetings! Thanks for raising this question in Q&A forum.

    Since the deployment fails with an**"Encountered an internal server error"** message even after trying a different browser and InPrivate mode, the issue is most likely related to a service-side validation or backend deployment problem rather than a local browser issue.

    1. Verify that the Claude Opus 5 model is available for deployment in your selected region and that your Azure AI Foundry project has access to the model.
    2. Try creating the deployment with a different supported deployment type or model version, if available, to determine whether the issue is specific to the selected configuration.
    3. Check the Activity Log in the Azure portal for any detailed deployment error messages or correlation IDs.
    4. If the deployment consistently fails, collect the deployment timestamp, subscription ID, region, and correlation ID (if available).
    5. Open a Microsoft Azure support request and provide the collected details so the engineering team can review the backend deployment logs.

    The next action is with the customer and Microsoft Support. The expected outcome is a backend log review to identify whether there is a service-side issue, capacity limitation, or model deployment validation error affecting the deployment.

    If this answer helps you kindly accept the answer which will help others who have similar questions

    Best Regards,

    Jerald Felix.

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