AI Greenferencing — Microsoft Proposes Routing Inference to Wind Farms
Microsoft Research proposes routing LLM inference directly to wind farm compute clusters, treating renewable intermittency as a routing variable — a genuinely new traffic engineering problem that network engineers are uniquely positioned to solve. Plus: Deutsche Telekom's production agentic NetOps proves the one-minute remediation benchmark is real.
Welcome to Amaze Networks for Monday, May twenty-fifth. Microsoft Research dropped a paper over the weekend with a genuinely strange proposal — what if you solve the AI power crisis not by fixing the grid, but by routing inference to wherever the wind is blowing?
They're calling it AI Greenferencing. Modular compute clusters colocated at wind farm generation sites, with a new software router that treats renewable power availability as a first-class routing input.
And before you write it off as a sustainability press release — the routing problem at the center of this paper is real, and it's one where network engineers with traffic engineering backgrounds are positioned to contribute in ways most other disciplines are not.
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