What Tablif read on Kumo Tabular's site
Kumo Tabular describes itself as: “nvidia/Kumo-Tabular · Hugging Face”
- Stage: Live, no waitlist
What it is
Calls itself “open foundation model”.
- Calls itself: open foundation model
“…nvidia/Kumo-Tabular · Hugging Face”
“Open foundation model for tabular prediction”
Where it puts itself
Claims “Ranks first on four benchmarks”.
- Superlative claim: Ranks first on four benchmarks
“Ranks first on four benchmarks: TabArena, BeyondArena, TALENT and ScoringBench.”
Who it sells to
Sells to developers.
- Sells to: developers
“Install structured-data-models for inference: pip install structured-data-models”
How it runs
A API. Distributed through the Hugging Face. Offers an API. AI is the core of the product.
- Kind: api
- Distributed via: Hugging Face
- API: yes
- AI role: core to the product
“Install structured-data-models for inference: pip install structured-data-models”
“NVIDIA Kumo Tabular is an open foundation model for tabular classification and regression, released by NVIDIA on Hugging Face.”
What it works with
Names Hugging Face, NVIDIA and 3 more on its pages.
- Names: Hugging Face · NVIDIA · NVIDIA Kumo Tabular · +2
“NVIDIA Kumo Tabular is an open foundation model for tabular classification and regression, released by NVIDIA on Hugging Face.”
“…from sklearn.datasets import load_breast_cancer”
What it offers as proof
Live, no waitlist. Claims “28M to 215M parameters”. Instant signup.
- Number claimed: 28M to 215M parameters
- Instant signup: yes
“Sign Up”
“Comes in three sizes, 28M to 215M parameters”
Sources
Tablif read these pages, last on 1 Oct 2026. Everything above is what the product says about itself; Tablif does not verify every claim.
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