Your team is deploying a foundation model as a serverless API endpoint in Azure AI Foundry for a new customer-facing application. The application must run in the East US 2 region to meet data residency requirements. During deployment via the Azure CLI, you discover that the specific model you selected cannot be deployed as a serverless API in that region. Business stakeholders require the exact same model family and version, and they cannot change the residency requirement. What is the most appropriate action to satisfy both the model and residency constraints?