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Production Inference Needs More Than Token Counts

This story is from 2026-09-18. It is preserved in the archive; the latest stories are on the live feed.

Token counts are easy to measure. They are not enough to run inference in production. Once an AI workload moves beyond experimentation, the important questions become more operational: Why did the cost per request change? Which route or site served the request? Did latency improve or degrade? What…

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  1. 2026-09-18 17:37 · DEV Community — Machine Learning
    Production Inference Needs More Than Token Counts

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