Unable to deploy model on Azure OpenAI

theJames 20 Reputation points
2026-06-17T10:58:13.1733333+00:00

I'm currently on the Azure for Students plan, and I'm only able to create an Azure OpenAI resource in Korea Central and Japan East.

When I go to Foundry and try to deploy a model (i.e. gpt-4o-mini) on Standard Deployment type, I run into an issue where the only locations I can select are US East 2 and Sweden Central with the rest saying (no quota). When I click Create resource and deploy, I get the error "The template deployment failed because of policy violation. Please see details for more information.",
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where the details say this
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Is there a way to get access to different deployment locations like Korea Central for the models on Foundry?

Azure OpenAI in Foundry Models
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Answer accepted by question author
TP 162.9K Reputation points Volunteer Moderator
2026-06-17T16:45:19.8533333+00:00

Hi,

Unfortunately Azure for Students is restricted to small number of regions (typically five) for capacity reasons and is blocked from making Quota requests. Additionally, if a resource (such as Azure OpenAI model) is only available in certain regions and none of those overlap with your allowed Azure for Students regions, you cannot create the resource.

One option to allow you to use different/more regions would be to create separate Pay-As-You-Go subscription and only use that when you need to deploy a resource that you cannot deploy to one of your five allowed regions in your Azure for Students. If you do this you need to verify pricing before creating any resources and make sure to delete resources immediately after you are finished using them.

Please click Accept Answer and upvote if the above was helpful.

Thanks.

-TP

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  1. SRILAKSHMI C 19,735 Reputation points Microsoft External Staff Moderator
    2026-06-24T11:34:14.6133333+00:00

    Hello @theJames

    Greetings! Thank you for reaching out and for providing the screenshots and error details.

    Based on the information shared, the issue does not appear to be related to the GPT-4o-mini model itself. Instead, the deployment is being blocked by an Azure policy restriction associated with the subscription being used.

    The key indicator is the error message:

    RequestDisallowedByAzure "This policy maintains a set of best available regions where your subscription can deploy resources. The objective of this policy is to ensure that your subscription has full access to Azure services with optimal performance. Should you need additional or different regions, contact support."

    When Azure AI Foundry creates a model deployment, it may automatically provision an underlying Azure OpenAI resource in a region that supports the selected model and deployment type.

    In your case:

    You are using an Azure for Students subscription.

    Your existing Azure OpenAI resources can only be created in Korea Central and Japan East.

    During model deployment from Foundry, the deployment workflow attempts to create resources in East US 2 or Sweden Central because those are currently the regions available for the selected model/deployment combination.

    The deployment is then rejected by a subscription-level policy before resource creation completes.

    The failure occurs during Azure Resource Manager (ARM) template deployment, which is why the error returned is InvalidTemplateDeployment RequestDisallowedByAzure

    Why do only East US 2 and Sweden Central appear?

    The list of available deployment locations in Azure AI Foundry is determined by several factors:

    Model availability by region

    Deployment type support (Standard, Global Standard, Provisioned, etc.)

    Available quota for the model in that region

    Subscription eligibility and regional restrictions

    For the selected model/version, Foundry currently determines that East US 2 and Sweden Central are eligible deployment targets. However, your subscription policy is preventing deployment in those regions.

    Can I deploy GPT models in Korea Central instead?

    Possibly, but only if all of the following conditions are met:

    The specific model (GPT-4o-mini) is available in Korea Central.

    The selected deployment type is supported in Korea Central.

    Your subscription has quota for that model in Korea Central.

    No Azure policy restrictions block deployment in that region.

    If any of these conditions are not met, Foundry will select another supported region or prevent deployment entirely.

    Check model availability and quota

    You can also verify Azure AI Foundry

    Management → Quotas

    Models + Endpoints → Deployments

    Review whether GPT-4o-mini is available for:

    Korea Central

    Japan East

    and whether quota is assigned for those regions.

    Important note regarding Azure for Students subscriptions

    Azure for Students subscriptions can have additional governance controls and regional restrictions compared to standard Pay-As-You-Go subscriptions. As a result:

    • Not all Azure regions may be available.
    • Not all Azure OpenAI deployment scenarios may be supported.
    • Certain automatically provisioned resources may be blocked by policy even when the primary service appears available.

    Please refer this

    Azure AI Foundry Region Support: https://learn.microsoft.com/azure/ai-foundry/reference/region-support

    Azure OpenAI Quotas and Limits: https://learn.microsoft.com/azure/ai-services/openai/quotas-limits

    Azure Policy Overview: https://learn.microsoft.com/azure/governance/policy/overview

    Azure AI Foundry Project Creation: https://learn.microsoft.com/azure/ai-foundry/how-to/create-projects

    Deploy a model in Azure AI Foundry (how to deploy, deployment types, etc.):https://learn.microsoft.com/en-us/azure/foundry-classic/openai/how-to/create-resource?pivots=web-portal

    I Hope this helps. Do let me know if you have any further queries.


    If this answers your query, please do click Accept Answer and Yes for was this answer helpful.

    Thank you!

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