NVIDIA
NVIDIA
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
Model
NVIDIA
NVIDIA
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16

Nemotron-3-Ultra-550B-A55B-BF16 is a frontier-scale large language model LLM trained by NVIDIA designed to deliver strong agentic reasoning and conversational capabilities.

This model is backed by NVIDIA's Plus Plus (++) Promise
to learn more about the quality of the datasets used to train this model.
FieldResponse
Model Application Field(s):Chat, Instruction Following, Chatbot Development, Code Generation, Reasoning, Customer Service
Describe the life critical impact (if present).Not Applicable
Description of methods implemented in data acquisition or processing, if any, to address other types of potentially harmful data in the training, testing, and validation data:We used a guard model for content safety to exclude potentially harmful data from training.
Description of any methods implemented in data acquisition or processing, if any, to address illegal or harmful content in the training data, including, but not limited to, child sexual abuse material (CSAM) and non-consensual intimate imagery (NCII)We used a Gemma-3 4B-based guard model trained on Nemotron Content Safety Dataset v2 for content safety to exclude potentially illegal or harmful content from the training.
Use Case Restrictions:Use of this model is governed by the OpenMDW License Agreement, version 1.1 (OpenMDW-1.1).
Model and dataset restrictions:The Principle of least privilege (PoLP) is applied limiting access for dataset generation and model development. Restrictions enforce dataset access during training, and dataset license constraints adhered to.
This AI model was developed based on our policies to ensure responsible data handling and risk mitigation. The datasets used for training have been scanned for harmful content and illegal content, consistent with our policies including scanning for Child Sexual Abuse Material (CSAM). Ongoing review and monitoring mechanisms are in place based on our policies and to maintain data integrity.True. We use Nemotron Content Safety Dataset V2 and an internal safety dataset specialized for minority sexuality for content safety evaluation to ensure the safety of this model.

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