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27Model release

Nvidia releases Nemotron 3.5 Super VL, a 120 billion parameter open model that reads images, documents and video for AI agents

Meet NVIDIA Nemotron 3.5 Super VL Our new open model combines reasoning and tool use with text, image, document, and video understanding for long-running AI agents. 120B total parameters with 12B active 馃У

Video frame showing the words NVIDIA Nemotron on a black background
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Context

Why it matters

Nvidia keeps expanding its open model family for companies building agents, and adding vision lets those agents work with documents and video on hardware Nvidia sells.

This is a first hand launch from Nvidia's AI account, a day after it teased that a model of its own was coming. The weights are on Hugging Face under the OpenMDW license, and performance claims are Nvidia's own.

Deep dive

On October 15, NVIDIAAI posted: Meet NVIDIA Nemotron 3.5 Super VL. It said the new open model combines reasoning and tool use with text, image, document and video understanding for long running AI agents, with 120 billion total parameters and 12 billion active.

The Hugging Face model card describes a hybrid of Mamba 2, mixture of experts and attention layers with a C RADIO vision encoder, supporting context up to 1 million tokens and multi token prediction for faster decoding. It takes text, images and video as input and outputs text, and lists deployment on four H100 or two GB200 GPUs. A separate NVFP4 version is meant for optimized deployment.

Nvidia's technical blog calls it an open, customizable multimodal model for specialized agent workflows. The vLLM project announced day zero support and said organizations can post train it with Nvidia NeMo on their own data, tools and policies. Nvidia's documentation notes the released BF16 checkpoint has no audio encoder.

On October 14, the NVIDIAAI account had posted that with so many models launching that week, it had one of its own coming, as covered in that day's deck.

What to expect next

Watch independent benchmarks of its vision and document skills against open rivals such as Qwen and Meta's new Muse Spark Open.

Also watch whether enterprises adopt it for agent work on Nvidia hardware, and whether Nvidia follows with larger Nemotron 3.5 models or versions that add audio input. Developer uptake on platforms like vLLM and Hugging Face will show how widely it spreads.