Together AI is bringing NVIDIA's new Nemotron 3 Nano Omni model to developers on day one of its release. This open multimodal model is designed to process video, images, audio, and language simultaneously, marking a significant step for agentic AI development.
The Nemotron 3 Nano Omni's unified approach to multimodal reasoning eliminates the need for separate inference passes for different data types. This streamlines complex agent applications that require simultaneous understanding of various inputs, such as call recordings, screenshots, and documents.
Optimized for Agentic Workloads
Together AI's platform is optimized for the Nemotron 3 Nano Omni's hybrid Mamba-Transformer Mixture of Experts (MoE) architecture. This optimization ensures high throughput and cost-efficient inference, even with the model's 30 billion parameters, by activating only a fraction for each token.
The platform provides managed infrastructure built for the demands of production-scale agentic inference. This includes reliable performance, high uptime, and seamless scaling from prototype to production, removing operational overhead for developers.
Unified Multimodal Reasoning
Traditional multimodal AI often relies on stitching together multiple models, leading to increased latency and potential errors. Nemotron 3 Nano Omni, with its 30B parameters and support for up to 256K tokens of multimodal context, offers a cohesive reasoning loop.