Azure AI Foundry: Bicep deployment fails with model quota or region capacity error

[Microsoft solution accelerator deployment guide]: Either request a quota increase for the model in that region, or deploy to a different region: azd env set AZUREAIDEPLOYMENTS_LOCATION [new-region] followed by azd up. Check current usage first with az cognitiveservices usage list --location [region], and list available models per region with az cognitiveservices model list --location [region] before retrying.

Context: Deploying an Azure AI Foundry project with azd fails when the Bicep template requests model deployments (e.g. gpt-5-mini at 150K TPM) that exceed the target region's quota or capacity. The deployment errors out on quota even though the template is valid.

Matched source

Source: Source: https://github.com/microsoft/microsoft-iq-solution-accelerator/blob/HEAD/docs/foundry/DeploymentGuideFoundry.md Original query: "Azure AI Foundry: Bicep deployment fails with model quota or region capacity error" Key terms: azure, bicep, capacity, deployment, error, fails, foundry, model, quota, region

Source: Deploying an Azure AI Foundry project with azd fails when the Bicep template requests model deployments (e.g. gpt-5-mini at 150K TPM) that exceed the target region's quota or capacity. The deployment errors out on quota even though the template is valid.

Verified resolution: [Microsoft solution accelerator deployment guide]: Either request a quota increase for the model in that region, or deploy to a different region: azd env set AZUREAIDEPLOYMENTS_LOCATION [new-region] followed by azd up. Check current usage first with az cognitiveservices usage list --location [region], and list available models per region with az cognitiveservices model list --location [region] before retrying.

Source URL: https://github.com/microsoft/microsoft-iq-solution-accelerator/blob/HEAD/docs/foundry/DeploymentGuideFoundry.md