Nemotron™ 3 Super: Expanding the Open Future of Agentic

Artificial intelligence is entering a new phase of development. Systems are moving beyond simple assistance and into agentic environments, where AI can reason, plan and execute tasks across digital systems.

The latest release in this evolving landscape is Nemotron™ 3 Super, a powerful open model that expands the Nemotron 3 family and strengthens the foundation for building specialized AI agents across industries.

With its hybrid mixture-of-experts architecture, high-quality open training data, and reinforcement learning optimization, Nemotron 3 Super represents a major step forward in transparent, efficient and scalable AI infrastructure.

A New Generation of Open AI Models

Nemotron 3 Super joins an expanding family of open models designed to provide developers with flexible, high-performance AI tools.

The Nemotron 3 lineup now includes:

Nemotron 3 Nano

A lightweight model optimized for edge deployment and low-latency environments.

Nemotron 3 Super

A high-performance model built for advanced reasoning, coding and multi-agent workflows.

Nemotron 3 Ultra (coming soon)

An upcoming flagship model expected to deliver even greater capabilities for large-scale AI systems.

This modular family gives developers a range of options, allowing them to deploy AI agents across environments ranging from lightweight edge systems to enterprise-scale infrastructure.

The Power of Hybrid Mixture-of-Experts Architecture

At the heart of Nemotron 3 Super is a hybrid Mixture-of-Experts (MoE) architecture.

Traditional AI models activate their entire neural network for every request. Mixture-of-Experts models operate differently by activating only specialized sub-networks when needed.

This design delivers several important advantages:

• Greater computational efficiency

• Improved scalability for large models

• Higher throughput for multi-agent systems

• Specialized expert pathways for different tasks

For developers building agentic AI systems, this architecture allows for powerful performance without excessive compute costs.

Built on High-Quality Open Data

One of the defining characteristics of the Nemotron model family is its commitment to openness and transparency.

Nemotron 3 Super is trained using carefully curated open datasets, enabling greater visibility into training methods and model behavior.

This approach supports:

• transparency in model development

• reproducibility in research and deployment

• improved trust for enterprise and regulated industries

Organizations building AI systems in areas such as finance, healthcare, infrastructure, and public services increasingly require models whose behavior can be understood and validated.

Open training frameworks help make that possible.

Reinforcement Learning for Agentic AI

Nemotron 3 Super is specifically optimized for agentic AI development.

Agentic systems require more than language generation. They must be able to:

• reason through multi-step problems

• interact with tools and APIs

• plan workflows and execute actions

• coordinate with other agents

To support this, the Nemotron 3 family incorporates reinforcement learning environments during training.

This allows the model to refine decision-making and task execution through structured feedback loops, improving performance in real-world workflows.

Leading Benchmark Performance

Independent benchmarking organization Artificial Analysis ranks the Nemotron 3 model family among the most open and efficient models in its class.

The models demonstrate strong performance across key benchmarks, including:

• coding accuracy

• logical reasoning

• structured problem solving

• agentic workflow tasks

This performance profile makes Nemotron particularly attractive for developers building production AI systems rather than simple chat interfaces.

Developer-Ready Tools and Cookbooks

To accelerate real-world deployment, Nemotron 3 Super launches with ready-to-use development cookbooks.

These guides help developers quickly implement:

• AI agents and automation workflows

• tool-calling systems

• multi-agent orchestration

• domain-specific fine-tuning

• scalable inference pipelines

By providing practical implementation frameworks, Nemotron helps reduce the time required to move from research models to production-ready AI systems.

The Rise of Specialized AI Agents

The release of Nemotron 3 Super reflects a broader shift happening across the AI industry.

Instead of relying on a small number of centralized models, the future increasingly points toward:

• specialized AI agents

• modular AI architectures

• open foundation models

• domain-specific intelligence systems

These systems will power applications across:

• enterprise automation

• financial infrastructure

• robotics and manufacturing

• healthcare systems

• digital services

Nemotron 3 Super provides developers with the tools needed to begin building these next-generation systems.

A Foundation for the Next Phase of AI

As AI becomes embedded in more critical infrastructure and economic systems, transparency, efficiency, and scalability will become essential characteristics of successful models.

The Nemotron 3 family represents a meaningful step toward that future.

With Nano already released, Super now available and Ultra on the horizon, developers now have access to a powerful range of open models designed to support the next generation of intelligent AI agents.

The agentic era of AI is beginning and Nemotron 3 Super is helping lay the groundwork.