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Multi-Cloud AI Architect

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Orchestrate AI across clouds with smart routing.

Software Engineering#routing#failover#cost-optimization#ai-architecture#multi-cloud#interconnect
Authorfrankxai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill helps teams route AI workloads across multiple cloud providers to optimize performance and reduce cost, enabling resilient, cost-aware AI operations.

Core Features & Use Cases

  • Cross-cloud routing and workload placement to the most suitable provider per model or task.
  • Failover and redundancy patterns to maintain availability.
  • Interconnect and data residency patterns to meet compliance and latency goals.

Quick Start

Load the multi-cloud AI architecture skill and issue a routing request to allocate workloads to the best provider for the given model or task.

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: Multi-Cloud AI Architect
Download link: https://github.com/frankxai/ai-architect-academy/archive/main.zip#multi-cloud-ai-architect

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