Kumo Tabular NIM Container Overview
Description
The Kumo Tabular NIM v1.0 container provides classification and regression inference over single-table structured data. It packages the Kumo Tabular model, its inference runtime, and dependencies in a downloadable container. Clients provide labeled context rows and rows to score; the model handles numerical and categorical features, including missing values, without task-specific training or weight updates.
The container components are ready for commercial or non-commercial use.
License/Terms of Use
GOVERNING TERMS: The container is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA AI Products. Use of the model is governed by the OpenMDW License Agreement, version 1.1.
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.
Deployment Geography
Global.
Release Date
- NGC container: September 2026, version 1.0.0 via Kumo Tabular on NGC; image repository
nvcr.io/nim/nvidia/kumo-tabular. - Model weights on Hugging Face: 09/23/2026 via nvidia/Kumo-Tabular.
Program Classes
The container includes the following model:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Kumo Tabular | Classification and regression on single-table data without task-specific training. | Automatic: model artifacts are packaged in the container; no runtime model download is required. |
Deployment Details
Pull the Kumo Tabular image from nvcr.io/nim/nvidia/kumo-tabular using NGC credentials and run it on a supported NVIDIA GPU. The inference API supports one-shot predictions and reusable sessions. See the Kumo Tabular NGC container page for available image tags and deployment instructions.
Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA's hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.
Reference(s)
- Kumo Tabular NGC container page
- Kumo Tabular on NVIDIA Build (API playground and deployment guidance)
- Kumo Tabular model weights
- Structured Data Models source code
- Kumo Tabular API reference
Container Version(s)
1.0.0 — Kumo Tabular NIM v1.0.
Security Common Vulnerabilities and Exposures (CVEs)
Review the Security Scanning tab on NGC for the latest scan results. NVIDIA provides Vulnerability Exploitability eXchange (VEX) documents for certain open-source vulnerabilities in the same tab.
Ethical Considerations
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. Developers should work with their internal developer team to ensure these software components meet requirements for the relevant industry and use case and address unforeseen product misuse.
Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.
Get Help
Getting started with the NIM
Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NVIDIA NIM documentation for deployment and integration guidance.
NVIDIA Developer Community Forum
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