Nvidia Launches Nemotron 3: Open Infrastructure for the Agentic AI Era

Nvidia has unveiled Nemotron 3, a new family of open AI models designed for enterprise-ready agent development. The company aims to provide developers and engineers with the tools to create domain-specific AI agents without needing to build foundation models from scratch, positioning Nemotron 3 as a versatile infrastructure layer for the AI era.

Nvidia Launches Nemotron 3: Open Infrastructure for the Agentic AI Era

Open Infrastructure for Complex AI Agents

According to Nvidia, the future of AI requires agents that can cooperate, coordinate, and operate over large contexts and long timeframes. Nemotron 3 addresses this need by providing an open, modular, and scalable framework. Nvidia is also releasing most of its training datasets and reinforcement learning libraries, allowing anyone to build, customize, and optimize AI agents.

“This is Nvidia’s response to DeepSeek disrupting the AI market,” said Wyatt Mayham of Northwest AI Consulting. “They’re offering a ‘business-ready’ open alternative with enterprise support and hardware optimization.”

Nemotron 3 Model Variants

Nemotron 3 features a hybrid latent mixture-of-experts (MoE) architecture and comes in three distinct sizes for different enterprise needs:

• Nano: A 30-billion-parameter model activating 3 billion parameters at a time. Designed for compute-efficient tasks like content summarization, software debugging, quick information retrieval, and AI assistant workflows. It offers a 1-million-token context window for multi-step task memory.

• Super: A 100-billion-parameter model with up to 10 billion active parameters per token. It is intended for collaborative multi-agent tasks, such as deep research, strategy planning, and complex reasoning with low latency.

• Ultra: A large reasoning engine with 500 billion parameters, activating up to 50 billion per token, for highly complex AI applications.

Availability

Nemotron 3 Nano is already available on Hugging Face and other inference service providers, as well as enterprise AI and data infrastructure platforms. Future availability will include AWS via Amazon Bedrock, Google Cloud, CoreWeave, Microsoft Foundry, and other public infrastructures. It is also offered as a pre-built Nvidia NIM microservice. Nemotron 3 Super and Ultra are expected in the first half of 2026.

Positioned as an Infrastructure Layer

Unlike hosted AI services from OpenAI or Anthropic, Nvidia positions Nemotron 3 as an infrastructure layer for enterprises wanting to build, own, and customize their AI agents.

“Nvidia isn’t trying to compete with hosted AI APIs — they’re providing a flexible platform for developers to create their own solutions,” explained Wyatt Mayham. Brian Jackson, principal research director at Info-Tech Research Group, described Nemotron 3 as “more like a meal kit that a developer can start working with, then customize to get the exact results they want.”