As AI inference becomes the dominant enterprise workload, organizations in regulated industries face pressure to keep sensitive data within governed environments rather than moving it to external compute. The post argues that the winning infrastructure strategy combines neoclouds (purpose-built GPU compute), Postgres as a unified operational and AI data foundation, and sovereign AI architectures that allow inference to run close to where data already lives. Research cited shows 95% of enterprises aim to become their own AI platforms, but only 13% have succeeded — and those that have achieve nearly 5x ROI. EDB Postgres AI is presented as a platform connecting these layers for hybrid, multi-cloud, and on-premises regulated environments.
Table of contents
The shift from training to inferenceWhy neoclouds are emerging as a critical layer to cross the chasm to productionWhy Postgres has become the enterprise AI foundationWhy sovereignty matters more than everEDB Postgres AI: connecting sovereign data and sovereign AIThe new enterprise AI stackThe CIO imperative117 Impressions