capacity

Discover Azure OpenAI model capacity and quota limits across regions.

10|2|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/mahmoud20138/Claude-Skills-Collection --skill capacity-mahmoud20138
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: capacity
Source: https://github.com/mahmoud20138/Claude-Skills-Collection/tree/main/02-Azure-Skills/skills/microsoft-foundry/models/deploy-model/capacity
Command: npx skills add https://github.com/mahmoud20138/Claude-Skills-Collection --skill capacity-mahmoud20138

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps you discover where you can deploy Azure OpenAI models by analyzing available capacity across different regions and projects, and checking your subscription's quota limits.

Core Features & Use Cases

  • Capacity Discovery: Identifies regions with sufficient TPM (Tokens Per Minute) for your chosen model.
  • Quota Analysis: Checks your subscription's available quota in candidate regions.
  • Project Cross-reference: Shows which of your existing AI projects are in relevant regions.
  • Use Case: You need to deploy gpt-4o but are unsure which Azure region has enough capacity and quota. This skill will list the best options for you.

Quick Start

Use the capacity skill to find available capacity for gpt-4o in the eastus2 region with at least 100K TPM.

Frequently Asked Questions about capacity

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

FAQPage Schema
How do I find Azure OpenAI capacity for a specific model like gpt-4o?

To find Azure OpenAI capacity for gpt-4o, you query available TPM across regions and projects. This skill analyzes quota limits and recommends optimal deployment locations based on your capacity requirements.

What's the best way to check Azure OpenAI quota limits before deploying?

The best way to check Azure OpenAI quota limits is by querying model capacities and cognitive services usage data via Azure CLI commands. This analyzes available quota in candidate regions to identify sufficient TPM.

How does Azure OpenAI model capacity discovery work across regions?

Azure OpenAI capacity discovery works by using Azure CLI commands to query regional model capacities and cross-reference existing AI projects. It compares availability to recommend optimal deployment locations.

Can I use Azure CLI to check available TPM for OpenAI models in eastus2?

Yes, you can use Azure CLI to check available TPM for OpenAI models in eastus2. The skill utilizes Azure CLI commands to query model capacities and cognitive services usage data across subscription quotas.

Why does my Azure OpenAI deployment fail due to quota limits in certain regions?

Azure OpenAI deployments fail due to quota limits when candidate regions lack sufficient TPM. This skill identifies regions with available quota and recommends optimal locations to prevent deployment failures.