Why AI Cost Attribution Breaks at the Infrastructure Level
Tags, SDKs, and gateways can't keep up with AI infrastructure. See why attribution breaks at the kernel level, and the architecture that actually solves it.
A shared GPU serves three products at once. An LLM gateway strips identity before the request reaches the provider. An agent spawns a thousand sub-agents overnight. Tags and SDKs were never built to survive any of it.
This guide breaks down the five reasons standard attribution fails at the infrastructure level, and the one layer that sees everything: the kernel.
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Written by
Eduardo Mota, Sr. Cloud Architect III
Eduardo Mota is a Senior Cloud AI Architect at DoiT, specializing in GenAI and data platforms on AWS and Google Cloud. He speaks at Google Cloud Next and AWS Community Days, and teaches O'Reilly and Udacity courses on RAG and agentic AI systems.