NVIDIA Nemotron 3 logo

NVIDIA Nemotron 3

Paid

Open model family for building efficient, accurate multi-agent AI systems.

4.6
Type
Saas
Founded
1993
Company
NVIDIA

About NVIDIA Nemotron 3

The NVIDIA Nemotron 3 family is a collection of open models (Nano, Super, Ultra) designed for building efficient, accurate, and transparent agentic AI applications. Featuring a breakthrough hybrid latent mixture-of-experts (MoE) architecture, these models deliver up to 4x higher throughput than the previous generation (Nemotron 2 Nano) and achieve superior accuracy through advanced reinforcement learning with concurrent multi-environment post-training. NVIDIA provides open model weights, training datasets, reinforcement learning environments, and libraries to enable developers to create specialized multi-agent systems at scale. Early adopters include major enterprises like Accenture, CrowdStrike, Oracle, Perplexity, ServiceNow, and Zoom, who are leveraging Nemotron 3 for AI workflows in manufacturing, cybersecurity, software development, media, and communications.

Key Features

Hybrid latent mixture-of-experts (MoE) architecture for high efficiency and scalability
Available in three sizes: Nano, Super, and Ultra
4x higher throughput than Nemotron 2 Nano
Advanced reinforcement learning with concurrent multi-environment post-training
Open source model weights, training datasets, and RL environments/libraries
Designed for transparent and customizable agentic AI development
Optimized tokenomics for cost reduction when routing tasks between frontier and open models

Pros & Cons

Pros
  • Open and transparent model family with full access to weights, data, and training tools
  • Breakthrough hybrid MoE architecture delivers superior accuracy and throughput
  • 4x higher throughput than previous generation for cost-effective scaling
  • Broad early adoption by leading enterprises (Accenture, CrowdStrike, Oracle, ServiceNow, etc.)
  • Designed specifically for multi-agent systems, addressing communication overhead and inference costs
  • Supports routing between open and proprietary models for optimal intelligence and cost

Best For

Building and deploying reliable multi-agent AI systems at scaleIntelligent workflow automation (e.g., ServiceNow integration)AI-powered assistants with routing to best open or proprietary models (e.g., Perplexity)Scalable AI workflows in manufacturing, cybersecurity, software development, media, and communicationsSovereign AI initiatives for building models aligned to local data, regulations, and values

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