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Two Adobe engineers present a design for proactive GPU workload scaling on Kubernetes, intended to compensate for slow node provisioning that causes reactive scaling to lag behind demand waves. The design relies on a Bi-LSTM model, a spike detector, and a gradual scaler, with shadow tests showing 85% accuracy within a ±10% margin ten minutes ahead of demand.