NVIDIA Launches New Generation of Open Models for Agentic AI

NVIDIA announced Nemotron 3, a new generation of open models and data libraries designed for building agentic AI systems across industries. The Nemotron 3 family of models consists of three sizes: Nano, Super, and Ultra.

The company claims that the models from the new family use a hybrid mixture-of-experts (MoE) design, enabling high throughput and scalability across multi-agent systems. The models are optimized for low inference costs and high performance, making them ideal for tasks like software debugging, content summarization, AI assistant workflows, and information retrieval.

The launch of the Nemotron 3 models addresses the aggressive acceleration of industry adoption of agentic AI applications, which require reasoning and tool orchestration. NVIDIA stated that organisations are shifting away from single-model chatbots to collaborative multi-agent AI systems.

Nano model delivers four times higher throughput than its predecessor and excels in multi-agent tasks with a 1-million-token context window. The Super model combines 100 billion parameters with 10 billion active parameters. It is designed to provide mid-range intelligence for multi-agent applications. Ultra, a large reasoning engine with 500 billion parameters with 50 billion active parameters, delivers more powerful advanced reasoning for complex workflows.