Please add descripthis container houses the nemotron-parse model which is a general purpose text-extraction model, specifically designed to handle documents.


Nemotron-Parse Container Overview
Description:
This container houses the nemotron-parse model which is a general purpose text-extraction model, specifically designed to handle documents. Given an image, nemoretriever-parse is able to extract formatted-text, with bounding-boxes and the corresponding semantic class. This has downstream benefits for several tasks such as increasing the availability of training-data for Large Language Models (LLMs), improving the accuracy of retriever systems, and enhancing document understanding pipelines.
The container components are ready for commercial use.
License/Terms of Use:
GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA AI Products and the use of this model is governed by the NVIDIA Community Model License Agreement. Use of the tokenizer included in this model is governed by the CC-BY-4.0 license.
Deployment Geography:
Global
Release Date:
** NVIDIA API Catalog October 28, 2025 via https://build.nvidia.com/nvidia/nemotron-parse
Nemotron Parse :
The Nemotron Parse NIM Container includes the following model:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Nemotron Parse https://build.nvidia.com/nvidia/nemotron-parse | Extracts bounding-boxes and corresponding semantic class from an image. | Automatic |
Deployment Details:
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.
Visit the NVIDIA NIM for VLMs page for release documentation, deployment guides and more.
Container Version(s):
nvcr.io/nim/nvidia/nemotron-parse:latest
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. When downloaded or used in accordance with our terms of service, developers should work with their internal developer team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
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