NVIDIA Nemotron 3 Ultra

2026-06-03 · Source: Ollama Blog · Field: Technology & Digital — Artificial Intelligence & Machine Learning · Depth: Intermediate, quick

Summary

NVIDIA Nemotron 3 Ultra, a 550 billion parameter (55B active) open model, became available on Ollama's cloud on June 4, 2026. This model is specifically engineered for long-running, agentic workflows, supporting hundreds of tool calls with fast and affordable performance. Key features include tuning for agent orchestration, coding agents, and complex enterprise tasks, alongside a 1M token context window to maintain continuity across extensive operations. Nemotron 3 Ultra is optimized for NVFP4, NVIDIA's 4-bit floating point format, enhancing memory efficiency and speed. Benchmarks indicate it leads in accuracy for agent productivity, instruction following, and long-context tasks, while also delivering superior throughput and saving up to 30% on costs compared to other leading open models.

Key takeaway

For AI Engineers developing or deploying complex, long-running agentic AI systems, Nemotron 3 Ultra presents a compelling option. Its 1M token context and specialized tuning for agent orchestration mean you can build more robust, multi-step workflows without losing context. Given its leading accuracy, high throughput, and up to 30% cost savings, you should evaluate integrating this model via Ollama to enhance your agentic application performance and efficiency.

Key insights

NVIDIA Nemotron 3 Ultra offers a highly efficient, large-scale open model specifically designed for complex, long-running agentic AI workflows.

Principles

• Design models for agent orchestration and multi-step tasks.
• Optimize large models with 4-bit floating point formats for efficiency.
• Prioritize long-context capabilities for sustained workflow coherence.

Method

Deploy Nemotron 3 Ultra via Ollama by running "ollama launch [tool] --model nemotron-3-ultra:cloud" for specific agents like Claude Code or Hermes, or "ollama run nemotron-3-ultra:cloud" for general chat.

In practice

• Integrate with Claude Code for coding agents.
• Utilize Hermes Agent for specific agentic tasks.
• Employ OpenClaw for advanced functionalities.

Topics

• NVIDIA Nemotron 3 Ultra
• AI Agents
• Large Language Models
• Ollama
• Model Optimization
• Long Context AI

Best for: AI Architect, MLOps Engineer, NLP Engineer, AI Engineer, Machine Learning Engineer, AI Scientist

Related on AIssential

• NVIDIA Nemotron 3 Ultra Powers Faster, More Efficient Reasoning for Long-Running Agents — Nemotron 3 Ultra optimizes long-running AI agents with a specialized Mixture-of-Experts model for faster, more cost-effective reasoning.
• Nemotron 3: NVIDIA’s Latest LLM in Plain English — Nemotron 3 balances advanced AI capabilities with practical deployment efficiency for agentic workloads.
• New NVIDIA Nemotron 3 Super Delivers 5x Higher Throughput for Agentic AI — Nemotron 3 Super is an open 120B-parameter model designed for scalable, accurate agentic AI systems.
• NVIDIA Nemotron 3 Ultra now available on Amazon SageMaker JumpStart — NVIDIA Nemotron 3 Ultra, an MoE model, optimizes cost and speed for complex, long-running AI agent workflows.
• NVIDIA AI Releases Nemotron 3 Ultra: An Open 550B Mixture-of-Experts Hybrid Mamba-Transformer for Long-Running Agents — Nemotron 3 Ultra is an open hybrid Mamba-Transformer MoE designed for efficient, long-context agentic AI with flat decode costs.
• NVIDIA’s New AI Just Changed Everything — NVIDIA's Nemotron 3 Super offers a powerful, open-source AI assistant with significant speed improvements via novel architectural and mathematical techniques.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Ollama Blog.