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How do you autoscale AI/LLM inference workloads, and why is it harder than autoscaling web services?

Autoscaling GPUs is nothing like autoscaling web servers: GPUs are scarce and expensive, model loading is slow, and the right signal is not CPU. The signal is scaling on queue and GPU metrics, taming cold starts, and the scale-to-zero economics.

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

Autoscaling GPUs is nothing like autoscaling web servers: GPUs are scarce and expensive, model loading is slow, and the right signal is not CPU. The signal is scaling on queue and GPU metrics, taming cold starts, and the scale-to-zero economics.

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