NVIDIA has introduced the Nemotron 3 Nano Omni, an open multimodal AI model designed to streamline tasks that require integrating vision, speech, and language processing. This model enables AI agents to deliver faster, smarter responses with advanced reasoning across video, audio, image, and text. According to NVIDIA, the model sets a new efficiency frontier for open multimodal models, achieving leading accuracy and low cost. It topped six leaderboards for complex document intelligence, video, and audio understanding, as noted in the company's blog post. The model is already being adopted by several AI and software companies, including Aible, Applied Scientific Intelligence (ASI), Eka Care, Foxconn, H Company, Palantir, and Pyler, with additional organizations evaluating its capabilities. 'To build useful agents, you can’t wait seconds for a model to interpret a screen,' said Gautier Cloix, CEO 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. This isn’t just a speed boost: It’s a fundamental shift in how our agents perceive and interact with digital environments in real time.' The model combines vision and audio encoders within its 30B-A3B, hybrid mixture-of-experts architecture, eliminating the need for separate perception models. This approach drives inference efficiency at scale and enables AI systems to achieve 9x higher throughput than other open omni models with the same interactivity. *Source: [nvidia](https://blogs.nvidia.com/blog/nemotron-3-nano-omni-multimodal-ai-agents/)*