NVIDIA Kumo Forecast Combines Pretrained Time-Series Representations with Historical Pattern Retrieval and Interpretability

NVIDIA Kumo Forecast, previously NV-Tesseract Forecasting, is a multi-variate time-series forecasting model. It integrates a pretrained Transformer backbone with Domain-Aware Representation and Retrieval (DARR), which enhances predictions by blending direct model outputs with historical data patterns. Built on the MOMENT-1-large backbone, Kumo Forecast features a 340-million-parameter base encoder and a trainable forecasting head, offering interpretability. The Kumo-TS repository also provides fine-tuning examples for user-supplied CSVs.