Architecture
Scaling on demand: smart auto-scaling for modern AI apps
CPU autoscaling is a lie for GPU workloads. Why queue depth, KV-cache pressure, and TTFT beat CPU as scaling triggers — KEDA-driven patterns, ARIMA forecasting, and composite metrics that scale your AI SaaS before users hit the spinner.
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