NVIDIA has officially unveiled Nemotron 3 Nano Omni, an open multimodal model designed to unify vision, audio, and language processing within a single system. This release addresses a critical limitation in current AI agent architecture, where separate models are traditionally used for different data types, resulting in increased latency, fragmented context, and higher operational costs. By integrating vision and audio encoders into a single 30B-A3B hybrid mixture-of-experts architecture, the new model enables AI agents to process video, audio, images, and text simultaneously with unprecedented efficiency. The model sets a new benchmark for performance, demonstrating up to nine times higher throughput compared to other open omni models with similar interactivity capabilities. It currently leads on six distinct leaderboards covering complex document intelligence, as well as video and audio understanding. This efficiency allows enterprises to deploy AI systems that are faster, leaner, and more cost-effective without sacrificing responsiveness or accuracy. Early adoption includes a range of prominent technology and enterprise firms. Companies such as Palantir, Dell Technologies, Oracle, DocuSign, and Infosys are currently evaluating the model, while Aible, Foxconn, Eka Care, and H Company have already begun implementing it. Gautier Cloix, CEO of H Company, highlighted the transformative nature of the technology, noting that his company's agents can now interpret full HD screen recordings in real time, a task that was previously impractical due to speed constraints. This capability represents a fundamental shift in how agents perceive and interact with digital environments. Nemotron 3 Nano Omni is specifically engineered to enhance three key areas of AI agent functionality. First, it powers computer use agents by providing a perception loop capable of navigating graphical user interfaces and reasoning over onscreen content at native resolutions. Preliminary evaluations on the OSWorld benchmark indicated a significant leap in the agent's ability to handle complex graphical interfaces. Second, it improves document intelligence by enabling coherent reasoning across mixed-media inputs like charts, tables, and screenshots, which is critical for enterprise compliance and analysis. Third, it facilitates robust audio and video understanding for customer service and research workflows by maintaining a unified reasoning stream that ties together spoken words, visual context, and documentation. The model is released with open weights, datasets, and training techniques, offering organizations full transparency and control. This open approach allows developers to customize the model using NVIDIA NeMo tools for domain-specific use cases and ensures deployment in environments with strict regulatory or data sovereignty requirements. As the first open model to combine this level of multimodal perception accuracy with such high efficiency, it supports flexible deployment across local systems like NVIDIA DGX Spark, data centers, and cloud environments. It is available via Hugging Face, OpenRouter, and the NVIDIA NIM microservice ecosystem. This release follows a year of over 50 million downloads for the broader Nemotron 3 family, extending its reach into agentic AI and multimodal applications.