AI infrastructure is the integrated hardware, software, data, and networking stack that supports development and operation of enterprise AI and machine learning workloads, enabling organizations to run training and inference at scale under their performance, governance, and cost constraints.
ABI Research forecasted US OLS scale-across revenue of about $5B by 2035, citing hyperscaler Tier One deployments and distributed AI training across smaller data centers.
Schneider Electric announced its VivaTech 2026 agenda, featuring executive sessions on energy intelligence, AI and demand-side efficiency, and sovereignty. The company cites a Bloomberg New Economy Energy Technology Coalition case study and references partnerships for AI data-center infrastructure in France, plus a collaboration with Foxconn for deployable solutions.
The blog says AI changes networking from application transport to part of the AI runtime, outlining six shifts in traffic, automation, costs, operations, multi-vendor setup, and digital twins.