The Sovereign Cloud Paradox: Architectural Patterns for Localized AI Scale
中文摘要
此文为应对主权云悖论，提供联邦RAG、轴辐式微调及机密计算等架构，助AI全球扩展并维持本地数据主权。
English Summary
This playbook addresses the Sovereign Cloud Paradox, offering architectural patterns like Federated RAG, hub-and-spoke fine-tuning, and confidential computing for AI that scales globally while maintaining local data sovereignty.
Original Excerpt
Federated RAG, hub-and-spoke fine-tuning, and confidential computing — a practical playbook for AI that scales globally and stays local. Continue reading on CodeToDeploy »