Open 550B mixture-of-experts model with 55B active, hybrid Mamba-transformer, NVFP4 and multi-token prediction, 1M context. Claimed 5x faster inference and about 30% lower cost than other open models; weights are 350GB.
NVIDIA's open-weight ~550B mixture-of-experts LLM with a hybrid Mamba-transformer design, aimed at agentic workloads.
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Nemotron 3 Ultra at a glance
- What is Nemotron 3 Ultra?
- Nemotron 3 Ultra is a model from NVIDIA. NVIDIA's open-weight ~550B mixture-of-experts LLM with a hybrid Mamba-transformer design, aimed at agentic workloads.
- Who makes Nemotron 3 Ultra?
- Nemotron 3 Ultra is made by NVIDIA.
- Does Nemotron 3 Ultra work in the EU?
- Available in the EU. Described as an open-weight model downloadable anywhere, and NVIDIA's EU site promotes Nemotron open models for European sovereign AI; no EU exclusion was found, though the license text was not provided. Last verified 14 Nov 2026.
- How much does Nemotron 3 Ultra cost?
- Open source. Open weights are free to download; hosting and inference costs depend on your own hardware or provider.
- Where was Nemotron 3 Ultra shown?
- In 2 creator videos by AI Search, Matt Wolfe. Most recently by AI Search on 7 Jun 2026, at 41:29 in “Full body waifus, AI dreams, realtime AI music, open-source Gemini Omni: AI NEWS”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
Nemotron 3 Ultra is the largest model in NVIDIA's Nemotron 3 family of open models. According to creator coverage, it is a mixture-of-experts model with roughly 550B total parameters and 55B active per token, built on a hybrid Mamba-transformer architecture with NVFP4 low-precision support and multi-token prediction. It supports a context window of about 1M tokens, and the weights are reported to be around 350 GB.\n\nNVIDIA positions it for agentic use cases and cost-efficient inference. Creators report claims of about 5x faster inference and roughly 30% lower cost than other open models; these figures are vendor claims relayed by third parties and were not verified against official pages here.\n\nThe model is distributed as open weights, so it can be self-hosted or run on cloud infrastructure, and it is aimed at enterprises and developers building agents. NVIDIA's site also promotes Nemotron for European sovereign AI and local-language post-training, for example French. The official license, exact release date and download links were not present in the provided material.
- Mixture-of-experts: ~550B total, ~55B active parameters
- Hybrid Mamba-transformer architecture
- NVFP4 precision and multi-token prediction
- Context window of about 1M tokens
- Open weights (~350 GB), aimed at agentic workloads
As seen on YouTube
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550B-parameter open-weight model, state of the art among open models for agent productivity and cost-efficient.
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