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NVIDIA releases Nemotron 3 Nano Omni multimodal model with support for text, images, video, and audio

Model release Provisional 95% confidence first seen 28 April 2026, 00:00

NVIDIA released Nemotron 3 Nano Omni, a 30-billion parameter multimodal model capable of processing text, images, video, and audio in a single inference pass with up to 256K tokens of context. The model is now available through multiple platforms including Together AI, enabling developers to build agentic applications without fragmented multi-model pipelines while achieving higher throughput than competing alternatives.

Source coverage

28 Apr, 00:00 Together AI Brings NVIDIA Nemotron 3 Nano Omni to Developers on Day 0 Together AI 28 Apr, 15:58 Introducing NVIDIA Nemotron 3 Nano Omni: Long-Context Multimodal Intelligence for Documents, Audio and Video Agents Hugging Face Blog official

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TLDRocket 3 August 2026

The story of AI in August 2026 is one of consolidation meeting enforcement. Alibaba's Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model with a million-token context window, arrives as a direct challenge to OpenAI and Anthropic's frontier offerings—priced at $2 per million input tokens, it's positioning itself as the capable-and-cheaper alternative that China's AI push has long promised. But the more consequential development is structural: enterprises are finally getting the plumbing to actually deploy these models. June, backed by Salesforce's Marc Benioff, raised $20 million to automate AI integration into legacy systems, scanning corporate infrastructure and generating deployment workflows without expensive consultant fees. This solves what's become clear as the real bottleneck—not model capability, but implementation friction in messy, heterogeneous corporate environments.

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NVIDIA releases Nemotron 3 Nano Omni multimodal model with support for text, images, video, and audio

Source coverage

Every AI story that matters, in your inbox by 8am.

Every AI story that matters,
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