NVIDIA releases Kumo Tabular, an open-weight model for predictions on tables

NVIDIA published Kumo Tabular on September 29, 2026: a pretrained model for classification and regression on tabular data that takes labeled example rows as context and predicts values for new rows without task-specific training. It comes in three sizes, from 28 million to 215 million parameters, and NVIDIA says it was pretrained entirely on artificial tables. The weights are on Hugging Face under the OpenMDW-1.1 license, and inference runs through NVIDIA's open-source structured-data-models library.12