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NVIDIA Nemotron 3 Ultra 550B A55B

NVIDIA Nemotron 3 Ultra 550B A55B is a verified open-weight reasoning model profile covering current specifications, pricing or access, capabilities, best uses and key limitations.

Open-Weight Reasoning ModelText Freemium
In plain English

What is this model and why does it matter?

NVIDIA Nemotron 3 Ultra 550B A55B is a 550B-total, 55B-active frontier reasoning model for agents, coding, planning and long-context RAG with up to 1M context.

Enterprise agentsCodingPlanningLong-context RAGTool useSelf-hosted frontier reasoning
Model overview

NVIDIA Nemotron 3 Ultra 550B A55B: features, use cases and important details

NVIDIA Nemotron 3 Ultra 550B A55B is a current AI model covered in the Simplify AI Tools model directory.

NVIDIA Nemotron 3 Ultra 550B A55B verified specifications

NVIDIA Nemotron 3 Ultra 550B A55B is a 550B-total, 55B-active frontier reasoning model for agents, coding, planning and long-context RAG with up to 1M context. The verified context or generation limit is 1000000 tokens.

NVIDIA Nemotron 3 Ultra 550B A55B pricing and access

NVIDIA offers a free prototype endpoint for testing; production cost depends on partner endpoint pricing or the GPU infrastructure used for self-hosted NIM deployment.

NVIDIA Nemotron 3 Ultra 550B A55B best uses

Enterprise agents, Coding, Planning, Long-context RAG, Tool use, Self-hosted frontier reasoning.

NVIDIA Nemotron 3 Ultra 550B A55B limitations

Text-only, Several top-tier GPUs needed for self-hosting, License terms require review.

Get started

How to use this model

  1. Create an NVIDIA API key.
  2. Call the official model through the NIM API.
  3. Configure reasoning.
  4. Prototype first.
  5. Choose partner hosting or self-host NIM for production.
Copy and try

Example prompts

  • Plan this enterprise workflow.
  • Review this large codebase.
  • Answer from this large RAG corpus.
Capabilities

What it can do

  • 550B total / 55B active
  • 1M context
  • Hybrid MoE architecture
  • Configurable reasoning
  • Tool use
  • NIM
Best for

Practical use cases

  • Multi-agent systems
  • Enterprise automation
  • Deep research
  • Coding
  • RAG
Pricing

What does it cost?

NVIDIA offers a free prototype endpoint for testing; production cost depends on partner endpoint pricing or the GPU infrastructure used for self-hosted NIM deployment.

Simple summaryPrototype access is free, while production self-hosting requires multiple high-end GPUs.

What stands out

  • Frontier-scale open-weight access
  • 1M context
  • NIM deployment

Things to consider

  • Very high hardware needs
  • Custom license
Limitations

Important restrictions and trade-offs

  • Text-only
  • Several top-tier GPUs needed for self-hosting
  • License terms require review
SimplifyAITools verdict

Our editorial take

A high-demand enterprise model combining frontier-scale reasoning, long context and NVIDIA’s production deployment stack.

References

Primary sources

  1. Open source 1 ↗
  2. Open source 2 ↗
  3. Open source 3 ↗
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