Error Code 715-123420 Failed to deploy azure foundry ai model

Question

Error Code 715-123420 Failed to deploy azure foundry AI model

when i try to deploy any AI model on azure foundry i get that error

Answer 1

Second generation master Erims-svcbtc Jehovah configuration system svcbtc expenditure for New creation

Answer 2

Hi thomas moore,

Error 715-123420 during Azure AI Foundry model deployment is usually related to backend deployment validation, quota/capacity issues, or subscription/resource configuration problems rather than the model itself.

A few things worth checking:

1. Verify model/region availability Some models are only deployable in specific regions.

Check whether:

the model supports your selected region

the region currently has deployment capacity available

Check Azure quota limits Go to:

Azure Portal

Subscriptions

Usage + quotas

and verify you still have available:

AI/ML quota

GPU quota

model deployment quota

Try a different region This error can sometimes occur when the selected region has temporary capacity exhaustion.

For example, test:

East US

Sweden Central

West Europe

(if supported for the model)

Verify resource provider registration Ensure these providers are registered:

Microsoft.CognitiveServices

Microsoft.MachineLearningServices

You can check under:

Subscription

Resource providers

Check permissions Make sure your account has:

Contributor or

Cognitive Services Contributor

on the resource/project.

Try deploying a smaller/basic model first If all models fail, it points more toward:

subscription configuration

backend service issue

or quota restrictions

rather than a single model problem.

Check Azure Service Health Sometimes Foundry deployments fail because of temporary backend incidents.

If possible, also capture:

full deployment logs

correlation ID

deployment region

model name

because Microsoft support can usually trace the exact backend failure from the correlation ID.

Since you mentioned any model fails, I would especially suspect:

quota/provider configuration

subscription restrictions

or temporary regional deployment capacity issues.

Thank you so much.