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InferScale: Kubernetes-Native Predictive Autoscaling for SLO-Aware AI Inference
Kubernetes Horizontal Pod Autoscaler (HPA) is widely used for inference services, but reactive scaling is often too slow when pods take tens of seconds to become ready. The problem gets worse in shared clusters, where independent HPAs compete for the same resource budget and can hurt different tenan
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