Explore NVIDIA Nemotron 3, a family of open AI models designed for advanced reasoning, efficient inference, and agentic AI applications. Discover Nano, Super, and Ultra, and learn how these models can power next-generation AI solutions.
Nemotron 3 brings together a family of AI models designed to support reasoning, conversational AI, and advanced agentic workflows.
What is NVIDIA Nemotron 3? Nemotron 3 is NVIDIA's family of open AI models comprising Nano, Super, and Ultra. Each model is designed for different performance and workload requirements, giving developers options for building AI-powered applications.
The family uses a hybrid Mamba-Transformer Mixture-of-Experts architecture. NVIDIA also highlights long-context processing, inference-time reasoning budget control, and reinforcement learning post-training among its key technologies.
Whether you are researching language models, developing AI agents, or evaluating models for production workloads, Nemotron 3 offers a range of technical resources to explore.
Read the official NVIDIA overview ↗Discover the three models in the NVIDIA Nemotron 3 family and understand how their different capabilities address different AI workloads.
A compact and efficient model designed for cost-effective inference, reasoning tasks, and agentic AI workloads. Nano is suited to scenarios where inference efficiency matters.
Explore Nano Resources ↗Designed for collaborative AI agents and high-volume workloads. Super targets demanding applications such as automated workflows and complex multi-agent systems.
Explore Super Resources ↗The largest model in the Nemotron 3 family, designed for advanced reasoning capabilities and demanding AI applications that require high levels of accuracy.
Explore Ultra Resources ↗Explore the architectural ideas and training technologies that contribute to the Nemotron 3 model family's efficiency and capabilities.
Combines Mamba and Transformer components with Mixture-of-Experts design to support efficient model processing.
A hardware-aware expert design used in Super and Ultra to support model accuracy and efficiency.
Uses additional prediction layers in Super and Ultra to improve long-form generation efficiency.
The Nemotron 3 family supports context lengths of up to one million tokens, according to NVIDIA.
Nemotron 3 is designed to support a range of AI development needs, from conversational experiences to advanced reasoning and agent-based workflows.
Explore Technical Details ↗Explore model capabilities for complex reasoning and problem-solving tasks.
Designed for applications involving AI agents and collaborative workflows.
Supports conversational AI applications and language-based interactions.
Offers granular reasoning budget control at inference time.
Compare Nano, Super, and Ultra according to your application needs.
Discover potential application areas for Nemotron 3 models across modern AI development and enterprise workflows.
Explore how reasoning models can support autonomous tasks, multi-step workflows, and collaborative agent systems.
Investigate conversational AI assistants that work with information, documents, and context-rich interactions.
Learn about potential applications in automated workflows, operational tasks, and enterprise AI systems.
Study open model architectures, training approaches, model evaluations, and AI research resources.
Explore how advanced language models can support complex problem-solving and reasoning-based applications.
Investigate model resources and implementation options for building new AI-powered products.
Explore NVIDIA's official Nemotron 3 research page to access model information, technical reports, research papers, model checkpoints, and additional developer resources.
Find answers to common questions about NVIDIA Nemotron 3, its models, architecture, and capabilities.
NVIDIA Nemotron 3 is a family of open AI models developed by NVIDIA. It includes Nano, Super, and Ultra, with capabilities focused on reasoning, conversational AI, and agentic applications.
The Nemotron 3 family consists of Nano, Super, and Ultra. Nano focuses on efficient inference, Super is designed for collaborative agents and high-volume workloads, while Ultra targets advanced reasoning and demanding applications.
NVIDIA describes Nemotron 3 as a family of open models and provides model-related resources. The availability and licensing conditions of individual model weights, datasets, and components should be checked in the relevant official NVIDIA repositories and documentation.
NVIDIA describes the Nemotron 3 architecture as a hybrid Mamba-Transformer Mixture-of-Experts approach. Additional technologies include LatentMoE and Multi-Token Prediction in Super and Ultra.
Yes. NVIDIA states that the Nemotron 3 family supports context lengths of up to one million tokens. Actual requirements and configuration depend on the specific model and deployment setup.
Visit NVIDIA's official Nemotron 3 research page for the latest model links, available checkpoints, technical reports, and developer resources. Open NVIDIA Nemotron 3 ↗
Potential application areas include reasoning-based applications, conversational AI, agentic workflows, research, and enterprise automation. The appropriate model depends on the specific workload and technical requirements.