i have 30days free account but unable to deploy any Models in Azure Foundry projects

Question

i have 30days free account but unable to deploy any Models in Azure Foundry projects

Priyanka R 0

Ghulam Muhayyu Din 0 Reputation points

2026-04-19T17:22:19.92+00:00

Hello Priyanka,

Navigating cloud deployment limits is a common hurdle, something I frequently encounter while testing Generative AI models on student and free-tier subscriptions.

For a 30-day free account, deployment failures in Azure AI Foundry usually stem from regional quota restrictions. Many foundation models are restricted to specific regions (like Sweden Central or East US) for free tiers. To resolve this, ensure your project is created in a region with high availability for trial accounts. Furthermore, since you are deploying models on a free account, look for the "Serverless API" (Models as a Service) deployment options. These do not require dedicated GPU provisioning and are far more accommodating to free-tier quotas than Managed Compute instances
Ghulam Muhayyu Din 0 Reputation points

2026-04-19T17:22:37.12+00:00

Hello Priyanka,

Navigating cloud deployment limits is a common hurdle, something I frequently encounter while testing Generative AI models on student and free-tier subscriptions.

For a 30-day free account, deployment failures in Azure AI Foundry usually stem from regional quota restrictions. Many foundation models are restricted to specific regions (like Sweden Central or East US) for free tiers. To resolve this, ensure your project is created in a region with high availability for trial accounts. Furthermore, since you are deploying models on a free account, look for the "Serverless API" (Models as a Service) deployment options. These do not require dedicated GPU provisioning and are far more accommodating to free-tier quotas than Managed Compute instances
SRILAKSHMI C 18,225 Reputation points Microsoft External Staff Moderator

2026-04-23T17:26:19.0333333+00:00

Hi Priyanka R,

Did you get any chance to review the below response. Do let me know if you have any further queries.

Thank you!

1 answer

Your answer

Ghulam Muhayyu Din 0 Reputation points

2026-04-19T17:22:19.92+00:00

Hello Priyanka,

Navigating cloud deployment limits is a common hurdle, something I frequently encounter while testing Generative AI models on student and free-tier subscriptions.

For a 30-day free account, deployment failures in Azure AI Foundry usually stem from regional quota restrictions. Many foundation models are restricted to specific regions (like Sweden Central or East US) for free tiers. To resolve this, ensure your project is created in a region with high availability for trial accounts. Furthermore, since you are deploying models on a free account, look for the "Serverless API" (Models as a Service) deployment options. These do not require dedicated GPU provisioning and are far more accommodating to free-tier quotas than Managed Compute instances
Ghulam Muhayyu Din 0 Reputation points

2026-04-19T17:22:37.12+00:00

Hello Priyanka,

Navigating cloud deployment limits is a common hurdle, something I frequently encounter while testing Generative AI models on student and free-tier subscriptions.

For a 30-day free account, deployment failures in Azure AI Foundry usually stem from regional quota restrictions. Many foundation models are restricted to specific regions (like Sweden Central or East US) for free tiers. To resolve this, ensure your project is created in a region with high availability for trial accounts. Furthermore, since you are deploying models on a free account, look for the "Serverless API" (Models as a Service) deployment options. These do not require dedicated GPU provisioning and are far more accommodating to free-tier quotas than Managed Compute instances
SRILAKSHMI C 18,225 Reputation points Microsoft External Staff Moderator

2026-04-23T17:26:19.0333333+00:00

Hi Priyanka R,

Did you get any chance to review the below response. Do let me know if you have any further queries.

Thank you!

Answer 1

Hello Priyanka R,

Thank you for reaching out to Microsoft Q&A.

Based on your description, the behavior you’re experiencing is expected when using a 30-day free Azure subscription with Azure AI Foundry.

Why model deployment is not working

Free trial subscriptions have certain limitations that impact model deployment:

No access to managed compute
No default quota (TPM/RPM) for most Foundry/OpenAI models
Restricted model availability (only a limited set of lightweight models is accessible)
Region restrictions for AI model usage

Due to these constraints, model deployment options may be disabled or fail during creation.

Recommended steps

1. Verify the region

Ensure your Foundry project is created in a supported region (e.g., East US, West Europe, Sweden Central)
Some models are only available in specific regions

2. Use Serverless API (Models-as-a-Service)

Managed compute deployments are not supported under free trial
You may try Serverless API deployment, which uses Microsoft-managed infrastructure
This is the recommended approach for trial subscriptions (subject to availability)

3. Check quota availability

Navigate to your Foundry project → Quota / Capacity
Verify if any Tokens-per-Minute (TPM) is assigned
If quota is 0, deployments will not succeed

You can submit a quota request here: https://aka.ms/oai/stuquotarequest

(Approval is not guaranteed for free trial subscriptions)

4. Validate permissions

Ensure you have Contributor or Azure AI Developer role on the resource
Confirm you are using the correct subscription and directory

5. Upgrade subscription (recommended) To fully utilize model deployment capabilities, we recommend upgrading to a Pay-As-You-Go subscription. This will:

Enable access to model deployments
Allow quota allocation
Provide broader model and region support

Free trial subscriptions are intended for evaluation and come with limited AI capabilities. To proceed with deploying models in Azure AI Foundry, upgrading the subscription and ensuring quota availability is required.

Please refer this

Region support for models – https://learn.microsoft.com/azure/ai-foundry/reference/region-support

Serverless API deployment (MaaS) – https://learn.microsoft.com/azure/ai-foundry/how-to/deploy-models-serverless Managed Compute deployment – https://learn.microsoft.com/azure/ai-foundry/how-to/deploy-models-managed • Foundry Models quota & limits – https://learn.microsoft.com/azure/foundry/foundry-models/how-to/deploy-foundry-models#quota-for-deploying-and-running-inference-on-a-model

Azure AI roles & RBAC – https://learn.microsoft.com/azure/ai-studio/concepts/rbac-ai-studio

I hope this will help you. Please feel free to let me know if you have any other queries.

Thank you!

SRILAKSHMI C 18,225 Reputation points Microsoft External Staff Moderator

2026-04-27T12:20:49.2733333+00:00

Hi Priyanka R,

Following up to see if the above answer was helpful. If this answers your query, please do click Accept Answer and Yes for was this answer helpful. And, if you have any further query do let us know.

Thank you!
SRILAKSHMI C 18,225 Reputation points Microsoft External Staff Moderator

2026-04-28T13:52:58.17+00:00

Hi Priyanka R,

Just checking in to see if you have got a chance to see my response to your question in resolving the issue.

If you are still facing any further issues, please don't hesitate to reach out to us. We are happy to assist you.

Looking forward to your response and appreciate your time on this.

If you feel that your quires have been resolved, please accept the answer by clicking the "Upvote" and "Accept Answer" on the post.

Thank you!

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i have 30days free account but unable to deploy any Models in Azure Foundry projects

1 answer

Your answer