What is NVIDIA Nemotron 3?

Nemotron 3 is NVIDIA's new family of open AI models designed for building agentic AI applications. It includes three sizes—Nano (30B parameters), Super (~100B), and Ultra (~500B)—featuring a breakthrough hybrid mixture-of-experts architecture for efficient multi-agent systems.

What makes Nemotron 3 Nano efficient?

Nemotron 3 Nano delivers 4x higher token throughput than its predecessor, reduces reasoning-token generation by up to 60%, and features a 1-million-token context window. It activates only 3 billion of its 30 billion parameters per task for maximum efficiency.

When will Nemotron 3 Super and Ultra be available?

NVIDIA expects to release Nemotron 3 Super and Ultra in the first half of 2026. Currently, only Nemotron 3 Nano is available through Hugging Face and various inference providers.

Which companies are adopting Nemotron 3?

Early adopters include Accenture, ServiceNow, CrowdStrike, Cursor, Perplexity, Siemens, Synopsys, Cadence, Palantir, Zoom, Deloitte, EY, and Oracle Cloud Infrastructure across manufacturing, cybersecurity, software development, and communications industries.

Is Nemotron 3 truly open source?

Yes, NVIDIA is releasing the models, training datasets (3 trillion tokens), and reinforcement learning libraries as open resources. The NeMo Gym and NeMo RL libraries are available on GitHub, and datasets are on Hugging Face for transparent AI development.

NVIDIA Debuts Nemotron 3 Family of Open Models for Agentic AI Development

NVIDIA unveils Nemotron 3 open model family with Nano, Super and Ultra sizes featuring breakthrough hybrid mixture-of-experts architecture for building efficient multi-agent AI systems at scale.

Published: December 15, 2025 By Marcus Rodriguez Category: AI

NVIDIA Debuts Nemotron 3 Family of Open Models for Agentic AI Development

Executive Summary

NVIDIA has announced the Nemotron 3 family of open models, a groundbreaking collection of AI models designed to power transparent, efficient, and specialized agentic AI development across industries. The family includes three sizes—Nano, Super, and Ultra—featuring a breakthrough hybrid latent mixture-of-experts (MoE) architecture that enables developers to build and deploy reliable multi-agent systems at scale.

The Nemotron 3 Model Family

The Nemotron 3 family introduces a hybrid latent mixture-of-experts architecture that addresses critical challenges facing organizations shifting from single-model chatbots to collaborative multi-agent AI systems:

Model	Total Parameters	Active Parameters	Primary Use Case
Nano	30 billion	Up to 3 billion	Software debugging, content summarization, AI assistant workflows
Super	~100 billion	Up to 10 billion	Multi-agent applications with low latency
Ultra	~500 billion	Up to 50 billion	Complex AI applications requiring deep reasoning

Nemotron 3 Nano: Available Now

The Nemotron 3 Nano is the most compute-cost-efficient model in the family, delivering:

4x higher token throughput compared to Nemotron 2 Nano
Up to 60% reduction in reasoning-token generation
1-million-token context window for improved accuracy on long, multistep tasks

Artificial Analysis, an independent benchmarking organization, ranked Nemotron 3 Nano as the most open and efficient model among its size class with leading accuracy.

Enterprise Adoption and Industry Impact

Major enterprises are already integrating Nemotron 3 models across diverse industries:

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Read the full article at AI BUSINESS 2.0 NEWS

Company	Industry Focus
Accenture	Professional Services
ServiceNow	Enterprise Software
CrowdStrike	Cybersecurity
Cursor	Software Development
Perplexity	AI Search
Siemens	Manufacturing
Synopsys	Electronic Design
Cadence	Electronic Design
Palantir	Data Analytics
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