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To deploy Azure OpenAI models with available capacity, this Skill automatically checks capacity across all Azure regions and deploys to the optimal location. It checks your current region first and shows alternatives only if needed.

Finding an Azure region with available capacity for gpt-4o is handled by analyzing real-time capacity across all regions. This automated capacity analysis identifies the best region for deployment to ensure high availability.

Yes, you can use an existing Azure AI Foundry project when deploying OpenAI models. The automated project handling supports utilizing your current project setup or creating a new one if necessary.

Yes, this deployment approach checks all Azure regions for OpenAI model availability. It performs multi-region capacity checks to find the most suitable location, reducing manual effort and deployment time.

If your current Azure region lacks OpenAI model capacity, this Skill automatically identifies alternative regions. It analyzes capacity across all available regions and deploys to the best alternative, providing the new endpoint.