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Sovereignty stack

As explained in Introduction to Generative AI, Second Edition

A sovereignty stack is the complete set of chips, compute, models, data pipelines, and policy frameworks that enables a country to develop and operate AI independently.

A sovereignty stack is the full set of chips, computing capacity, models, data pipelines, and policy frameworks that lets a country develop and operate AI on its own terms. It responds to concentrated access to high-end graphics processing units (GPUs), training-scale models, multilingual datasets, and inference services. section 11.5 section 11.5

Building a sovereignty stack can involve:

  • National supercomputers and subsidized public cloud access. section 11.5
  • Domestic chip alternatives, international alliances, and workarounds shaped by export controls. section 11.5
  • Public labs, open-source alternatives, safety-focused funding, and shared infrastructure to reduce dependence. section 11.5

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Defines the stack and names its components, but does not explain their technical implementation.
Examples
Uses national supercomputers, public cloud subsidies, domestic chips, international alliances, and shared infrastructure as examples.
What you can do after
Evaluate how infrastructure and investment determine who can develop, deploy, and benefit from AI.
How it connects
Connects sovereignty stacks with compute access, export controls, AI investment, open source, and public labs.

This explainer was generated by Manning's knowledge graph from the text of Introduction to Generative AI, Second Edition. The section links point to the parts of the book it draws on.