What to know

  • NVIDIA has unveiled the Nemotron 3 lineup, including Nano, Super, and Ultra variants, aimed at enabling efficient, transparent development of agentic and multi-agent AI systems.
  • Nemotron 3 Nano delivers up to four times higher throughput than earlier versions, supports a one-million-token context window, and is optimized for long-context and reasoning-intensive workloads.
  • The release is accompanied by open datasets, reinforcement learning libraries, and tools such as NeMo Gym, NeMo RL, and NeMo Evaluator to support customization, evaluation, and responsible deployment.
  • Nemotron 3 represents a strategic evolution for NVIDIA, positioning the company not only as an AI hardware leader but also as a major producer of open, foundational AI models.

NVIDIA has taken a decisive step beyond its traditional role as an AI hardware provider with the launch of Nemotron 3, a new family of open AI models designed for agentic and multi-agent applications. The release positions NVIDIA as a more direct competitor in the rapidly evolving foundation model space, traditionally dominated by AI labs and cloud providers.

The Nemotron 3 family includes Nano, Super, and Ultra variants, offering developers flexibility across performance and deployment needs. According to NVIDIA, the models are optimized for transparency, efficiency, and long-context reasoning, addressing growing demand for scalable AI agents capable of handling complex, multi-step tasks.

Nemotron 3 Nano - A new Standard for Efficient, Open, and Intelligent Agentic Models
by u/Nestledrink in nvidia

A key highlight of the announcement is Nemotron 3 Nano, which NVIDIA says delivers up to four times higher throughput than previous iterations while supporting context windows of up to one million tokens. This makes the model particularly suited for enterprise workloads involving long documents, persistent memory, and extended reasoning chains.

Alongside the models, NVIDIA is releasing open datasets and reinforcement learning tools, including NeMo Gym, NeMo RL, and NeMo Evaluator. These resources are intended to help developers fine-tune, evaluate, and safely deploy AI agents, reinforcing NVIDIA’s push toward an open and customizable AI ecosystem.

The Nemotron 3 launch marks a strategic shift for NVIDIA, signaling its ambition to become not just the backbone of AI infrastructure but also a major creator of foundational AI models. As enterprises increasingly seek vertically integrated AI solutions, NVIDIA’s move strengthens its position across the full AI stack - from chips and systems to models and software.