Nvidia Corp. has introduced Nemotron 3 Nano Omni, a powerful AI model designed to serve as the core for faster, smarter agentic AI applications. This new state-of-the-art model integrates text, vision, and speech capabilities, operating with approximately 30 billion parameters.
Utilizing a mixture-of-experts architecture, Nemotron 3 Nano Omni achieves exceptionally low latency, offering high flexibility and control. Nvidia combined vision and audio encoders with its hybrid MoE architecture to eliminate the need for separate perception modules, streamlining the model's functionality. The company reports this integration results in improved efficiency and up to nine times faster throughput compared to other open omni models.
"To build useful agents, you can’t wait seconds for a model to interpret a screen," stated Gautier Cloix, chief executive of H Company. "By building on Nemotron 3 Nano Omni, our agents can rapidly interpret full HD screen recordings - something that wasn’t practical before."
The model's smaller size allows for lower costs, higher scalability, and enables it to run on high-end consumer hardware as well as enterprise cloud deployments. It is designed to operate alongside other proprietary cloud models or Nvidia's Nemotron open models.
Nemotron 3 Nano Omni enables rapid understanding of documents, computer displays, voice, and video, acting as an ideal interface for human interaction and complex machine states. The Nemotron family has achieved over 50 million downloads, with the Omni variant expanding its capabilities into multimodal and agentic domains.
The new model is available via Hugging Face, OpenRouter, and as an Nvidia NIM microservice. Its open and lightweight design encourages developers to build upon it and deploy it on local hardware.