Claude Sonnet 4.6 Deployment Failure on Azure AI Foundry EastUS2

Nutpapon Limsupavanich 0 Reputation points
2026-06-02T04:05:17.83+00:00

Hi,

We attempted to deploy Claude Sonnet 4.6 in Azure AI Foundry, but the deployment failed with a backend service error. Deployment of Claude Sonnet 4.6 failed in Azure AI Foundry during deployment creation. The operation reached a terminal provisioning state of Failed and returned an internal server error from the Azure Cognitive Services deployment service. This appears to be a service-side failure (InternalServerError) rather than a configuration or authorization issue, based on the activity log. Could you please investigate the failure and advise on available alternatives?

Bests,

Nutpapon Lim

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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. AI answer

    2026-06-02T04:05:32.0966667+00:00

    The activity log description and InternalServerError indicate a backend/service-side issue with the Claude Sonnet 4.6 deployment rather than a configuration, authorization, or quota problem.

    Based on the available guidance, use the following checks and alternatives:

    1. Validate basic deployment prerequisites
      • Confirm the deployment is in a supported region for Claude models. Claude models are only available in East US2 and Sweden Central.
      • Ensure the subscription type is supported (Claude models require an Enterprise or MCA‑E subscription) and that you have Contributor or Owner on the resource group and Cognitive Services User for Entra ID access if using token-based auth.
    2. Rule out common client-side causes
      • Check for typical API errors (401, 403, 404, 429) as described in the Claude troubleshooting table. In this case, the activity log already shows InternalServerError at the Cognitive Services deployment layer, which points away from these client-side issues and toward a platform problem.
    3. Check quota and capacity
      • In the Foundry portal, verify quota under Operate > Quotas for Claude Sonnet in East US2. Ensure:
        • Quota is not exceeded for the model/region.
        • There is no regional capacity or quota error blocking new deployments.
      • If quota is exceeded, either reallocate TPM from existing deployments or request more quota using the quota increase process referenced in the Foundry Models documentation.
    4. Retry the deployment
      • Because this is an internal service error, it may be transient. Delete the failed deployment (if it exists in a failed state) and attempt to create the deployment again after some time.
      • If the deployment remains stuck in a non‑Succeeded provisioning state for an extended period, delete and recreate it, similar to the guidance from other deployment issues where recreating the deployment resolved the problem.
    5. Try an alternative region or model as a workaround
      • If repeated attempts in East US2 continue to fail with InternalServerError, try:
        • Deploying Claude Sonnet 4.6 in Sweden Central, the other supported region for Claude models.
        • Deploying another Claude model (for example, Haiku or Opus) in East US2 to see if the issue is specific to Sonnet in that region.
      • If another model or region succeeds, this further confirms a regional/model‑specific backend issue.
    6. When to escalate
      • If:
        • Quota and permissions are correct,
        • The region is supported (East US2),
        • Multiple retries still fail with InternalServerError, and
        • Alternative regions/models are not viable for the workload,
      • Then a backend investigation is required. Open a support ticket with Azure Support, including:
        • Subscription ID, resource name, region (East US2),
        • Deployment name and timestamp,
        • The full error details from the activity log and any deployment logs.
      • This is similar to other quota/capacity and deployment issues where backend allocation or service state must be corrected by the platform team.

    These steps allow confirming that configuration, quota, and region are valid, using another region/model as a workaround, and then escalating to Azure Support for a service-side fix if InternalServerError persists.


    References:

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