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ML Infrastructure & GPUs / 34

How do you autoscale LLM inference, and why is it different from scaling a normal web service?

CPU-based autoscaling that works fine for a web tier quietly fails on GPU inference: wrong signal, and replicas that take minutes to warm. The interviewer wants the signals you actually scale on and how you hide the cold start.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

CPU-based autoscaling that works fine for a web tier quietly fails on GPU inference: wrong signal, and replicas that take minutes to warm. The interviewer wants the signals you actually scale on and how you hide the cold start.

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