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FinOps AI Expert

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Smarter FinOps for AI workloads.

Finance & Accounting#pricing#ai#cost-optimization#finops#multi-cloud#gpu-sizing
Authorfrankxai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps organizations reduce AI-related costs by aligning model choices, GPU sizing, and cloud commitments with actual usage and pricing realities.

Core Features & Use Cases

  • Model selection guidelines: Choose cost-effective models that meet accuracy and latency requirements across providers.
  • GPU sizing & commitments: Recommend GPU types, memory, and commitment strategies to optimize cost-per-token and throughput.
  • Multi-cloud cost governance: Implement budgeting, usage tracking, and provider arbitrage across AWS, Azure, GCP, and other clouds.
  • Use Case: For a multi-region AI inference deployment, generate a cost-optimized plan balancing performance and spend.

Quick Start

Supply your AI workloads, current spend, and cloud pricing data to generate a cost-optimized plan.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: FinOps AI Expert
Download link: https://github.com/frankxai/ai-architect-academy/archive/main.zip#finops-ai-expert

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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