Designing Sovereign AI Stacks

Analyze a blueprint for a national-level AI stack that supports open-weight models and enterprise agents while ensuring data sovereignty, governance, reproducibility, and interoperability with global AI ecosystems. Include architectural layers (data, model governance, runtime, tooling), safety and auditing mechanisms, stakeholder roles (government, industry, academia, users), funding models, and transition paths for legacy systems.