skills.rest
qprjack86
qprjack86COMMUNITY
Explore all skills by this author →
GitHub

capacity

Discover Azure OpenAI model capacity across regions and projects.

Updated Apr 20, 2026
Search Tags:#azure#quota#openai#capacity#deployment planning#region search
One-click install
npx skills add https://github.com/qprjack86/apexbase --skill capacity-qprjack86
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: capacity
Source: https://github.com/qprjack86/apexbase/tree/main/.github/skills/microsoft-foundry/models/deploy-model/capacity
Command: npx skills add https://github.com/qprjack86/apexbase --skill capacity-qprjack86

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps users quickly discover where an Azure OpenAI model can be deployed with enough available capacity, avoiding trial-and-error region searches and quota surprises.

Core Features & Use Cases

  • Capacity discovery: Searches accessible Azure regions for model availability and available TPM capacity.
  • Quota-aware ranking: Cross-checks region capacity with subscription quota to highlight deployable options.
  • Deployment planning: Compares regions, projects, and sample project locations to recommend the best target for a model deployment.
  • Use case: A user wants to deploy gpt-4o with 10K TPM and needs the best region and project before choosing a deployment path.

Quick Start

Ask the skill to find the best Azure region for a specific model and minimum capacity, then use the ranked results to choose a deployment target.

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 model capacity across regions before deploying?▼

Azure OpenAI model capacity search scans accessible regions and projects for model availability and available TPM capacity. It cross-checks region capacity with subscription quota to highlight deployable options, avoiding trial-and-error region searches.

What is the best way to check Azure OpenAI quota for a specific model and TPM requirement?▼

The best way to check Azure OpenAI quota is to query accessible regions for model availability and cross-check available TPM capacity against subscription quota limits. This approach ranks viable deployment locations based on your specific TPM requirements.

Do I need Azure CLI access to search for OpenAI model availability across regions?▼

Yes, Azure CLI access is required to perform read-only analysis of Azure OpenAI model capacity across regions. The CLI enables subscription quota checks, model version lookup, and regional comparison without performing actual deployment.

Can I compare Azure OpenAI deployment locations across projects and regions?▼

Yes, Azure OpenAI deployment planning compares regions, projects, and sample project locations to recommend the best deployment target. It ranks viable locations by available TPM capacity and subscription quota compatibility.

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

Azure OpenAI deployment fails when subscription quota limits are insufficient for the requested TPM capacity in a target region. Quota-aware capacity search cross-checks region availability with subscription limits to prevent these quota surprises.

Related Skills

Explore More Software Engineering Skills→
p-potvinp-potvin
1

capacity

Discover Azure OpenAI model capacity across regions and projects with quota validation.

Community
Advanced
paidethonpaidethon

capacity

Discover Azure OpenAI model capacity and recommend optimal deployment locations.

Community
Advanced
jgezelscorpjgezelscorp

preset

Automate Azure OpenAI model deployment with optimal region selection.

Community
Intermediate
DigiBanks99DigiBanks99

capacity

Rank Azure OpenAI regions by capacity and quota for deployment planning.

Community
Intermediate