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Home/Models & Labs
Models & Labs

NVIDIA Kumo Tabular beats GBDT on benchmarks

Hugging Face Blog·September 29, 2026·high confidence

Why it matters

  • →Replaces manual feature engineering and hyperparameter tuning with zero-shot inference.
  • →Achieves state-of-the-art accuracy on tabular benchmarks while being faster than existing foundation models.
  • →Trained entirely on synthetic data, offering a scalable path for enterprise structured data tasks.
NVIDIA Kumo Tabular beats GBDT on benchmarks
©Hugging Face Blog

NVIDIA has released Kumo Tabular, an open-source foundation model for tabular data available on Hugging Face and GitHub. The model, trained entirely on synthetic data generated by structural causal models, performs zero-shot classification and regression in a single forward pass without requiring feature engineering or hyperparameter tuning. It ranks first on the TabArena, BeyondArena, TALENT, and ScoringBench benchmarks, outperforming traditional gradient-boosted trees and other foundation models in both accuracy and inference speed. The release includes model weights for three sizes (28M to 215M parameters) under the OpenMDW-1.1 license.

Read original

The story around this

Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.

NVIDIA Unveils Nemotron 3 Ultra Model — Sam Witteveen1NVIDIA Boosts Google DeepMind's DiffusionGemma Speed — NVIDIA Blog2Google unveils TabFM for zero-shot tabular data prediction — Google Research Blog3Open Models Propel AI Research at ICML 2026 — NVIDIA Blog4NVIDIA Nemotron 3 Embed Tops RTEB Leaderboard — Hugging Face Blog5Kog Optimizes GPUs for Faster AI Inference — TechCrunch AI6Google's ToolGrad Enhances Tool-Use Dataset Generation — Google Research Blog7llama.cpp b11037 fixes GPU inference bugs — llama.cpp Releases8NVIDIA Kumo Tabular beats GBDT on benchmarksllama.cpp optimizes NVIDIA V100 inference performance — llama.cpp Releases9Nvidia releases open Nemotron models for agents and PCs — TechCrunch AI10Nvidia Unveils Modular DSX Pod for Rapid AI Infrastructure — WIRED AI11NVIDIA Kumo Relational Beats XGBoost on Structured Data — Hugging Face Blog12NVIDIA Dory: 4B Looped Transformer — Sam Witteveen13Jun 4You are hereNov 2

How we got here

  1. 1
    NVIDIA Unveils Nemotron 3 Ultra Model

    Sam Witteveen · June 4, 2026 · Background

  2. 2
    NVIDIA Boosts Google DeepMind's DiffusionGemma Speed

    NVIDIA Blog · June 10, 2026 · Background

  3. 3
    Google unveils TabFM for zero-shot tabular data prediction

    Google Research Blog · June 30, 2026 · Related

  4. 4
    Open Models Propel AI Research at ICML 2026

    NVIDIA Blog · July 6, 2026 · Background

  5. 5
    NVIDIA Nemotron 3 Embed Tops RTEB Leaderboard

    Hugging Face Blog · July 16, 2026 · Related

  6. 6
    Kog Optimizes GPUs for Faster AI Inference

    TechCrunch AI · August 14, 2026 · Background

  7. 7
    Google's ToolGrad Enhances Tool-Use Dataset Generation

    Google Research Blog · September 10, 2026 · Background

  8. 8
    llama.cpp b11037 fixes GPU inference bugs

    llama.cpp Releases · September 19, 2026 · Background

What happened next

  1. 9
    llama.cpp optimizes NVIDIA V100 inference performance

    llama.cpp Releases · October 2, 2026 · Background

  2. 10
    Nvidia releases open Nemotron models for agents and PCs

    TechCrunch AI · October 19, 2026 · Background

  3. 11
    Nvidia Unveils Modular DSX Pod for Rapid AI Infrastructure

    WIRED AI · October 21, 2026 · Background

  4. 12
    NVIDIA Kumo Relational Beats XGBoost on Structured Data

    Hugging Face Blog · October 21, 2026 · Same story

  5. 13
    NVIDIA Dory: 4B Looped Transformer

    Sam Witteveen · November 2, 2026 · Background

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