Legacy enterprise networks were not designed for AI. They were designed for traditional applications that tolerated delay, accepted occasional packet loss, and moved data north-south between users and servers. None of these assumptions apply to AI workloads. The public internet is a best-effort medium. That means no guaranteed latency, no reserved bandwidth and no predictable path between two points. That’s an acceptable tradeoff if all you’re doing is serving web pages. It’s unacceptable when a dropped packet means a stalled inference job, a degraded model response, or a training run that has to restart from a checkpoint. MPLS solved the reliability…

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