Story thread · 2 reports / 1 sources
Starfleet will fly Postgres AI apps from prototype to production, says pgEdge
infoworld.com · 4h · first report

The move from proof of concept or prototype to production is a common stumbling block for AI projects , and one that database services provider pgEdge is keen to help enterprises overcome. AI applications often start with developers reaching for Postgres because it gives them a database that can handle an application’s operational data while supporting AI-related capabilities such as vector search, enabling them to build a prototype without adding another specialty vector database to the stack. When that prototype matures into something that enterprises want to run at scale, though, the Postgres setup that worked for experimentation may not meet the enterprise’s requirements for security, high availability, geographic distribution, data sovereignty, or deployment control. In that scenario, developers find themselves reworking the infrastructure beneath an application that is otherwise ready to ship, turning the move from prototype to production into an architectural exercise of its own
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