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capacity

Find Azure OpenAI model capacity across regions and projects via Azure CLI.

66|41|Updated Mar 4, 2026
Search Tags:#deployment#quota#ranking#capacity#region#azure-openai
One-click install
npx skills add https://github.com/olivomarco/vbd-copilot --skill capacity-olivomarco
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: capacity
Source: https://github.com/olivomarco/vbd-copilot/tree/main/skills/microsoft-foundry/models/deploy-model/capacity
Command: npx skills add https://github.com/olivomarco/vbd-copilot --skill capacity-olivomarco

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires az, jq, python3, and includes scripts (resource) components.

What problem does it solve?

Identifies available Azure OpenAI capacity across regions and projects, enabling informed deployment planning and avoiding capacity gaps.

Core Features & Use Cases

  • Discover capacity across all regions for a given modelName and version (GlobalStandard SKU).
  • Cross-check subscription quotas to surface regions with available headroom and potential constraints.
  • Rank regions by capacity, quota status, and project presence to recommend deployment locations.
  • Smooth handoff to preset or customize deployment workflows after discovery.

Quick Start

Query capacity for a model (e.g., gpt-4o) with a specified version and a minimum TPM to identify viable regions.

Frequently Asked Questions about capacity

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check Azure OpenAI capacity and quota availability across regions?▼

Azure OpenAI capacity across regions is discovered by querying the modelCapacities REST API via Azure CLI. This cross-checks subscription quotas to surface regions with available headroom and produces a ranked table of viable deployment locations.

Can I rank Azure OpenAI regions by available TPM before deploying a model?▼

Yes, Azure OpenAI regions can be ranked by available TPM. By specifying a minimum TPM threshold and model version, the scripts filter regions based on actual capacity, quota status, and project presence to recommend deployment locations.

Do I need Azure CLI and Python installed to discover Azure OpenAI model capacity?▼

Yes, Azure CLI, Python 3, and jq are required dependencies to discover Azure OpenAI model capacity. These tools execute the scripts that query the REST API, process JSON responses, and generate the ranked regional capacity data.

What is the best way to find GlobalStandard SKU capacity for Azure OpenAI models?▼

The best way to find GlobalStandard SKU capacity for Azure OpenAI is using a dedicated discovery script. It queries the modelCapacities REST API to identify available capacity across all regions for a specified model name and version.

How do I transition from Azure OpenAI capacity discovery to actual model deployment?▼

Transitioning from Azure OpenAI capacity discovery to deployment is handled through a smooth handoff to preset or customize deployment workflows. After identifying viable regions, the ranked output directly informs your deployment configuration and location selection.

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