Together AI Brings NVIDIA Nemotron 3 Nano Omni to Developers on Day 0

2026-04-28 · Source: Together AI | The AI Native Cloud - Together.ai · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Cloud Computing & IT Infrastructure · Depth: Intermediate, short

Summary

Together AI announced on April 28, 2026, the immediate availability of NVIDIA Nemotron 3 Nano Omni on its platform. This open, multimodal AI model represents a significant advancement, capable of reasoning across video, images, audio, and language within a single coherent loop. Together AI provides optimized, managed infrastructure for Nemotron 3 Nano Omni, which features a hybrid Mamba-Transformer mixture-of-experts (MoE) architecture, activating approximately 3 billion parameters per token out of 30 billion total, and utilizing multi-token prediction for efficient inference. This integration aims to reduce system complexity by eliminating fragmented multi-model pipelines, supporting up to 256K tokens of shared multimodal input context. The model is fully open, offering flexible deployment and supporting FP8 and NVFP4 across NVIDIA Hopper and Blackwell architectures, enabling advanced agentic applications like customer service and financial analysis.

Key takeaway

For AI Engineers developing multimodal agentic applications, NVIDIA Nemotron 3 Nano Omni on Together AI offers a streamlined path to production. You can eliminate complex multi-model pipelines and achieve unified reasoning across video, audio, and text, reducing latency and errors. This managed platform allows you to focus on agent logic rather than infrastructure, accelerating deployment and scaling of sophisticated AI agents.

Key insights

NVIDIA Nemotron 3 Nano Omni unifies multimodal reasoning in a single, open model, enhancing agentic AI efficiency and capability.

Principles

• Unifying multimodal context prevents fragmentation and errors.
• MoE architectures with MTP improve inference efficiency.
• Open models offer deployment flexibility and data control.

In practice

• Build customer service agents reasoning across diverse inputs.
• Develop financial analysts processing earnings calls and documents.
• Create computer use agents interpreting UI and instructions.

Topics

• Multimodal AI
• Agentic AI
• NVIDIA Nemotron 3 Nano Omni
• Together AI
• Mixture of Experts
• Inference Optimization
• Open Models

Best for: AI Architect, CTO, VP of Engineering/Data, AI Engineer, Machine Learning Engineer, MLOps Engineer

Related on AIssential

• NVIDIA Nemotron 3 Nano Omni Powers Multimodal Agent Reasoning in a Single Efficient Open Model — Unified multimodal reasoning in a single MoE model significantly improves agentic system efficiency and accuracy.
• Nvidia debuts Nemotron 3 Nano Omni for multimodal AI efficiency — Nvidia's Nemotron 3 Nano Omni unifies multimodal AI processing for faster, more efficient agentic systems.
• The Sequence AI of the Week #855: Inside Nemotron Omni: NVIDIA’s New Multimodal Brain for Agents — NVIDIA's Nemotron Omni unifies diverse sensory inputs into a single model for more coherent multimodal AI agents.
• Nvidia Nemotron 3 Nano Omni - First Test and Impression — Nvidia's Nemotron 3 Nano Omni is a fast, multimodal MoE model for local inference and diverse data processing.
• Together AI at NVIDIA GTC 2026: Explore our latest innovations across research and products — Together AI and NVIDIA are advancing open, agentic, and production-ready AI systems through new model integrations and inference optimizations.
• Nemotron 3: NVIDIA’s Latest LLM in Plain English — Nemotron 3 balances advanced AI capabilities with practical deployment efficiency for agentic workloads.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Together AI | The AI Native Cloud - Together.ai.