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DigiBanks99
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capacity

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

Updated Oct 22, 2024
Search Tags:#analytics#quota#multi-region#capacity#region#azure-openai#deployment-planning
One-click install
npx skills add https://github.com/DigiBanks99/dotfiles --skill capacity-digibanks99
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: capacity
Source: https://github.com/DigiBanks99/dotfiles/tree/main/modules/agents/.config/.agents/skills/microsoft-foundry/models/deploy-model/capacity
Command: npx skills add https://github.com/DigiBanks99/dotfiles --skill capacity-digibanks99

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Identifies Azure OpenAI regions with available capacity and aligns deployment plans with regional quotas and existing projects, reducing guesswork and deployment delays.

Core Features & Use Cases

  • Capacity discovery across regions for a given model name and version.
  • Per-region quota checks to ensure feasible deployments.
  • Ranked outputs by capacity, quota availability, and project counts to aid decision making.
  • Use case: multi-region deployment planning or selecting the optimal region with sufficient TPM capacity.

Quick Start

Run the discovery script with your model name and version to generate a ranked region list.

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 quota and capacity across multiple regions?▼

Azure OpenAI region capacity is identified by scanning regions for a given model and version, checking per-region quotas, and ranking them by available TPM capacity and project counts to guide deployment planning.

What's the best way to find a region with sufficient TPM capacity for Azure OpenAI deployment?▼

The best way to find sufficient TPM capacity is using a region ranking script that evaluates Azure OpenAI quotas and existing projects, outputting a ranked table to eliminate guesswork and multi-region deployment delays.

Do I need Azure CLI and PowerShell installed to check Azure OpenAI region capacity?▼

Yes, checking Azure OpenAI region capacity requires Azure CLI, PowerShell, Python 3, and jq installed in your environment to execute the discovery scripts and process quota data across regions.

Can I rank Azure OpenAI regions by available quota and project counts for deployment planning?▼

Yes, you can rank Azure OpenAI regions by available quota and project counts. The discovery process evaluates capacity and quota availability, producing a ranked table to help select the optimal region for multi-region deployment.

Why does my Azure OpenAI deployment fail due to regional capacity limits?▼

Azure OpenAI deployments fail when target regions lack sufficient quota or TPM capacity. Running a region capacity discovery script beforehand identifies available quota across regions, preventing deployment delays caused by capacity constraints.

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