PHIL AI: Distributed Compute for Global AI

PHIL AI announced the expansion of its Distributed Edge Compute architecture on January 19, 2026. This move aims to solve the "bottleneck" problem in cloud infrastructure.

Instead of sending all data to centralized data centers, PHIL AI proposes processing requests locally (at the edge). This is critical for real-time applications (autopilots, robotics) and regions with poor internet connectivity. The release confirms the trend towards AI decentralization: the future belongs not only to giant clusters but also to a network of millions of small nodes.

Source: GlobeNewswire / PHIL AI