IBM Granite introduces ensemble forecasting using four pre-trained time-series models

IBM Granite Timeseries Ensemble combines four complementary pre-trained Granite architectures—PatchTST-FM-r1, PatchTST-FM-r2, FlowState-r1.1, and TTM-r3—to provide median and quantile forecasts without requiring dataset training or fitted ensemble weights. Users can start with the Probabilistic Ensemble recipe and extend the interface, offering point forecasts and quantile predictions (defaulting from 0.1 to 0.9) for applications requiring forecast ranges.