capacity

Azure OpenAI capacity discovery scans accessible subscriptions and regions to validate quotas and rank deployable locations. It analyzes available capacity, model versions, SKUs, and project counts to recommend alternative deployment regions after quota failures.

Use Azure OpenAI capacity discovery to perform read-only quota validation across all accessible subscriptions and regions. It ranks candidate regions by comparing available capacity, project counts, and subscription quotas to identify optimal deployment locations for specific models.

Yes, Azure CLI authentication is required to perform read-only capacity discovery across subscriptions. The Skill uses authenticated access to scan quotas, SKUs, and project resources across all accessible regions and produce ranked deployment recommendations.

Cross-region capacity discovery scans all accessible Azure subscriptions and regions simultaneously to locate deployable resources. It compares available capacity, model versions, and subscription quotas across projects to produce a ranked list of candidate deployment locations.

Quota-aware ranking compares available capacity, project counts, and subscription quotas across accessible Azure regions. It validates quota limits against deployment targets and ranks candidate regions and projects by their ability to support specified models and capacity requirements.

Capacity discovery produces read-only recommendations and routes you to preset or customizable deployment skills. The operational hand-off provides ranked candidate regions and projects, enabling immediate deployment of models like gpt-4o with specified TPM targets.