Predictive Autoscaling That Just Works
Heavy GPU services need more than reactive scaling — we build the models that see load coming.What’s Included
Predictive Load Modeling
History-based forecasting inspired by ARIMA models — no extra ML infrastructure required.KEDA-Native Scaling
Built on your own tuned metrics and thresholds, not generic defaults.Scale Before Load Hits
Provision capacity ahead of demand spikes instead of reacting after they land.Scale Down To Save
Unused capacity is shed automatically the moment demand drops.How We Work
01
Analyze history
Pull months of real traffic and GPU utilization data.02
Build the model
Fit a forecasting model to your traffic's real seasonality.03
Wire into KEDA
Feed predictions in as scaling triggers, alongside live metrics.04