What question did this study set out to answer?

This paper aims to outline the development of sovereign AI inference that allows customer verification throughout the inference process.

July 19, 2026Open Access

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Sovereign Compute Has Arrived. Sovereign Inference Is Next.

IRIgor Razumny

Key Points

This paper aims to outline the development of sovereign AI inference that allows customer verification throughout the inference process.
Discusses the architecture of sovereign AI inference systems.
Examines existing sovereign cloud programs like AWS European Sovereign Cloud, Microsoft, and Google offerings.
Analyzes current limitations of managed inference regarding data handling.
Highlights the absence of customer-checkable crypto for managed inference processes.
Indicates that current assurance relies on architectural contracts and audits rather than end-to-end verifiability.

Abstract

Preprint v0.1 (July 2026). Architecture paper on end-to-end sovereign AI inference: customer-verifiable controls over the full inference path, not only sovereign compute below. Sovereign cloud programs are shipping (e.g. AWS European Sovereign Cloud, Microsoft and Google offerings), and AI services sit inside them—but managed inference still typically processes prompts as plaintext, with assurance based on architecture, contract, and audit rather than customer-checkable crypto end to end.

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Igor Razumny (Fri,) studied this question.

synapsesocial.com/papers/6a5c69c3118b92953e3ee08a https://doi.org/https://doi.org/10.5281/zenodo.21410951

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