NVIDIA releases Kumo Relational model
What you need to know
NVIDIA released Kumo Relational, a pre-trained relational foundation model that answers predictive queries on enterprise databases in a single forward pass, with no task-specific training or feature engineering. NVIDIA says it beats supervised relational deep learning models and expert-engineered gradient-boosted tree pipelines across 41 tasks on 15 databases from RelBench V1/V2, SAP SALT and 4DBInfer, and surpasses AutoGluon ensembles by 8% in MRR on SAP SALT. It reads up to 10,000 context examples at inference and scales to 500B+ rows. It is available through NVIDIA's open-source structured-data-models library or as an NVIDIA NIM, with code under Apache 2.0 and weights under the OpenMDW License 1.1.
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- Hugging Face BlogFeaturedNVIDIA releases Kumo Relational, a pre-trained model that predicts directly on relational databases without training
NVIDIA released Kumo Relational, a pre-trained relational foundation model that answers predictive queries on enterprise databases in a single forward pass with no task-specific training or feature engineering. Across 41 tasks on 15 databases from RelBench V1/V2, SAP SALT and 4DBInfer, it beats supervised relational deep learning models and expert-engineered gradient-boosted tree pipelines, and on SAP SALT it surpasses AutoGluon ensembles by 8% in MRR. It reads up to 10,000 context examples at inference, scales to 500B+ rows, and is available through NVIDIA's open-source structured-data-models library or as an NVIDIA NIM, with code under Apache 2.0 and weights under the OpenMDW License 1.1.
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