Distributed inference is becoming a hard systems problem

Modern inference now spans reasoning models, agents, KV caches, heterogeneous hardware, and routing rather than a single request running on a single machine

Inference is becoming one of the hardest systems problems in AI infrastructure. For a long time, the mental model was relatively simple: a request goes to compute, the model runs, and a response comes back. The new reality is distributed