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Neoclouds, sovereign AI, and Postgres: A new enterprise architecture for regulated AI inference

By

Max Romanenko

8d ago· 9 min readenInsight

Summary

The article examines how AI inference is reshaping enterprise computing, particularly for regulated industries. As inference becomes dominant, enterprises face a core tension: data must move to compute environments optimized for GPUs, creating security risks, cost issues, and data synchronization problems. The solution emerging is a new operating model combining neoclouds (specialized cloud providers), sovereign AI (keeping data within jurisdictional boundaries), and Postgres databases. This triad allows regulated enterprises to maintain data governance, control over intellectual property, and compliance while still leveraging AI inference capabilities at scale.

Source

bskyNeoclouds, sovereign AI, and Postgres: A new enterprise architecture for regulated AI inferencebit.ly

Key quotes

· 3 pulled
Every inference call moves sensitive enterprise information out of the systems where it lives and into external environments optimized for GPU throughput rather than data governance.
This creates friction that compounds at scale: rising costs, expanding security exposure, and a growing tangle of data copies that drift out of sync with operational reality.
What enterprises actually want is different: to keep data and IP intact within the da
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As AI inference moves into production, enterprises are turning to neoclouds, Postgres and sovereign AI to keep data and compute in control.

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