capacity
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
Target: Cloud, operations & security. Automatically collected · unverified.
Excerpt from the author’s documentation
Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.
Read the original English text
Topics in the source
- Capacity Discovery
- Quick Reference
- When to Use This Skill
- Scripts
- Workflow
- Phase 1: Validate Prerequisites
- Phase 2: Identify Model and Version
- Phase 3: Run Discovery
Finds available Azure OpenAI model capacity across all accessible regions and projects. Recommends the best deployment location based on capacity requirements. | Property | Description | |----------|-------------| | Purpose | Find where you can deploy a model with sufficient capacity | | Scope | All regions and projects the user has access to | | Output | Ranked table of regions/projects with available capacity | | Action | Read-only analysis — does NOT deploy. Hands off to preset or customize | | Authentication | Azure CLI (az login) | ✅ User asks "where can I deploy gpt-4o?" ✅ User specifies a capacity target: "find a region with 10K TPM for gpt-4o" ✅ User wants to compare availability: "which regions have gpt-4o available?" ✅ User got a quota error and needs to find an alternative location ✅ User asks "best region and project for deploying model X" After discovery → hand off to preset or customize for actual deployment. Pre-built scripts handle the complex REST API calls and data processing. Use these instead of constructing commands manually. | Script | Purpose | Usage | |--------|---------|-------| | scripts/discoverandrank.ps1 | Full discovery: capacity + projects + ranking |
This is an excerpt. Refer to the complete source and its current requirements.
- Source repository
- microsoft/skills
- Source file
- .github/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/capacity/SKILL.md
- Fixed revision
- 9287b443662d2433c85621c7325ee72a0ce499b5
Sources and evidence
This record was collected automatically. Its documentation, suitability and runtime behavior have not been manually verified.
Author: Microsoft Skills · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-10T19:02:07.913Z.
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License and attribution
MIT. Third-party content and copyright remain with their authors. Refer to the original license and terms.
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