Scaling AI Inference on Kubernetes: The Case for Token-Based Autoscaling
HPA scales on request count - but LLM requests aren't equal. A 200-token prompt and an 8,000-token doc hit your GPU completely differently. Scale on token throughput ratio instead, wire it into a custom HPA metric, and rewrite your SLOs around p95 TTFT. Your GPU utilization will thank you.
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