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Your model training is burning a lot of energy. How do you measure and cut the carbon footprint?

Most answers optimize the training run. For any model that gets used, inference dominates lifetime energy, and the biggest carbon lever is the serving stack. Measure first, then cut the thing that is actually large.

Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.

Most answers optimize the training run. For any model that gets used, inference dominates lifetime energy, and the biggest carbon lever is the serving stack. Measure first, then cut the thing that is actually large.

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