NVIDIA Nemotron 3 Nano Omni is a multimodal model engineered to serve as a perception and context sub-agent within enterprise-grade AI systems. By integrating text, image, video, and audio inputs into a single inference loop, the model allows agents to process complex, multi-sensory information without the overhead of fragmented pipelines. Its architecture is built on a hybrid Mixture-of-Experts Transformer-Mamba foundation, incorporating specialized Conv3D video layers and Efficient Video Sampling to streamline data intake. This design intent focuses on high-performance reasoning, enabling developers to build agents that can interpret and act upon diverse data streams with greater speed and coherence.

The model leverages advanced architectural efficiencies to deliver significant performance gains, including approximately double the throughput and a substantial reduction in compute requirements for video reasoning tasks compared to traditional vision and speech pipelines. With support for extensive context lengths and a dedicated reasoning budget, it is optimized for complex, real-time interactions where rapid, accurate decision-making is critical. As an open model, it is positioned to support the next generation of agentic AI, providing a scalable and efficient framework for developers at major enterprises to implement sophisticated, multimodal workflows that require both depth of context and operational agility.