---
title: "Relational Data"
description: "1 posts about Relational Data, summarised, each linking to the original."
---

# Relational Data
> 1 posts about Relational Data, summarised, each linking to the original.

## Articles

### [NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required](https://yomu.fyi/post/nvidia-kumo-relational-outperforms-supervised-machine-learning-on-rela.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Joshua Przybylko, Jure Leskovec, Matthias Fey, Federico Lopez, Valter Hudovernik, Akihiro Nitta, Ramona Bendias, Ardrian Wong
- Published: Oct 21, 2026
- Type: Announcement

NVIDIA Kumo Relational is a pre-trained relational foundation model that makes predictions directly on enterprise databases without requiring task-specific training, feature engineering, or table flattening. Given a predictive query, it gathers up to 10,000 historical examples as context and produces outcomes such as churn or demand in a single forward pass. Across 41 tasks on 15 databases, it outperforms supervised relational deep learning models and gradient-boosted tree pipelines; on the SAP SALT benchmark it surpasses AutoGluon ensembles by 8% in mean reciprocal rank. The model scales to databases with over 500 billion rows and is available through NVIDIA’s open-source structured-data-models library or as an NVIDIA NIM. It reasons within tables using column and row attention and across tables using graph attention over foreign keys, avoiding quadratic cost.