Nemotron-3-Ultra-550B-A55B NIM container packages NVIDIA's large language model featuring a hybrid Latent Mixture-of-Experts (LatentMoE) architecture with Multi-Token Prediction (MTP) layers.
Nemotron-3-Ultra-550B-A55B Overview
Description:
This NIM container packages NVIDIA-Nemotron-3-Ultra-550B-A55B, a large language model (LLM) trained by NVIDIA. The model employs a hybrid Latent Mixture-of-Experts (LatentMoE) architecture, utilizing interleaved Mamba-2 and MoE layers, along with select Attention layers. Distinct from the Nano model, the Ultra model incorporates Multi-Token Prediction (MTP) layers for faster text generation and improved quality, and it is pre-trained using an NVFP4 recipe to maximize compute efficiency. The model has 55B active parameters and 550B parameters in total. The supported languages include: English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Hindi, Arabic, Chinese, and Hebrew. NVIDIA Nemotron is a family of open models with open weights, training data, and recipes, delivering leading efficiency and accuracy for building specialized AI agents.
The container components are ready for commercial/non-commercial use
License/Terms of Use:
The NIM container is governed by the NVIDIA Software License Agreement and Product-Specific Terms for NVIDIA AI Products.
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.
Deployment Geography:
Global
Release Date:
Build.NVIDIA.com 06/04/2026 via build.nvidia.com
Hugging Face 06/04/2026 via Hugging Face
NGC 06/04/2026 via NGC
Program Classes:
The NVIDIA-Nemotron-3-Ultra-550B-A55B NIM Container includes the following model:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| NVIDIA-Nemotron-3-Ultra-550B-A55B | NVIDIA-Nemotron-3-Ultra-550B-A55B NIM container packages NVIDIA's large language model featuring a hybrid Latent Mixture-of-Experts (LatentMoE) architecture with Multi-Token Prediction (MTP) layers. With 550B total parameters (55B active), the model delivers advanced reasoning and chat capabilities. | Automatic |
Deployment Details:
Visit the NIM Container LLM page for release documentation, deployment guides, and more.
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.
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 teams 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
Visit the NIM Container LLM page for release documentation, deployment guides, and more.
NVIDIA Developer Community Forum
Get access to community knowledge base articles and support cases (https://forums.developer.nvidia.com/)
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 release documentation, deployment guides and more.
NVIDIA Developer Community Forum
For support, visit the NVIDIA Developer Community Forum.