Audience
AI engineers and researchers building scalable multi-agent systems that require efficient long-context reasoning and advanced AI agent workflows
About Nemotron 3 Super
Nemotron-3 Super is part of NVIDIA’s Nemotron 3 family of open models designed to enable advanced agentic AI systems that can reason, plan, and execute multi-step workflows across complex environments. The model introduces a hybrid Mamba-Transformer Mixture-of-Experts architecture that combines the efficiency of state-space Mamba layers with the contextual understanding of transformer attention, allowing it to process long sequences and complex reasoning tasks with high accuracy and throughput. This architecture activates only a subset of model parameters for each token, improving computational efficiency while maintaining strong reasoning capabilities and enabling scalable inference for large workloads. Nemotron-3 Super contains roughly 120 billion parameters with around 12 billion active during inference, accelerating multi-step reasoning and collaborative agent interactions across large contexts.
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NVIDIA
Founded: 1993
United States
nvidia.com
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Product Details
Platforms Supported
Cloud
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Documentation
Live Online
Webinars
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Online
Nemotron 3 Super Frequently Asked Questions
Q: What kinds of users and organization types does Nemotron 3 Super work with?
Nemotron 3 Super works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Nemotron 3 Super support in their product?
Nemotron 3 Super supports these languages: English.
Q: What kind of support options does Nemotron 3 Super offer?
Nemotron 3 Super offers support via online.
Q: What other applications or services does Nemotron 3 Super integrate with?
Nemotron 3 Super integrates with: Nemotron 3, OpenTag, Perplexity Computer, Perplexity Pro, and Together AI.
Q: What type of training does Nemotron 3 Super provide?
Nemotron 3 Super provides training in the form of documentation, live online, webinars, and videos.
