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Train a speculator on production traffic: what data do you collect, how do you slice acceptance, when do you retrain?

A draft head trained on a public chat set looks fine until it meets your traffic, and loses acceptance without a single error the day the target model is updated. The answer sizes the data you must capture, computes acceptance per slice the way the counters do, and prices a retrain against the GPUs that drift costs.

Updated Oct 2026 · Worked answers on inference mechanisms, with calculations, implementation details, and follow-up questions.

A draft head trained on a public chat set looks fine until it meets your traffic, and loses acceptance without a single error the day the target model is updated. The answer sizes the data you must capture, computes acceptance per slice the way the counters do, and prices a retrain against the GPUs that drift costs.

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