Multimodal input
Handles text, images, documents, and video in one model.
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Automation / product dossier
Open multimodal model for specialized agents, with text, image, document, and video inputs.
Product brief
Nemotron 3.5 Super VL is NVIDIA’s open, customizable multimodal model for specialized agents. It is a 120B mixture-of-experts model with 12B active parameters that handles text, image, document, and video input, plus reasoning and tool use, in one model. NVIDIA claims up to 5x higher agentic throughput on a single GPU than open models its size. Checkpoints, training recipes, and datasets are on Hugging Face, with a NIM container.
Why we selected it
Substantial technical release for builders and researchers: a 120B mixture-of-experts model with 12B active parameters, multimodal inputs, reasoning, and tool use. Available checkpoints, training recipes, datasets, and a
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Only capabilities supported by the product information we collected are listed here.
Handles text, images, documents, and video in one model.
Supports reasoning and tool use for specialized agents.
Provides checkpoints, training recipes, and datasets on Hugging Face for an open, customizable model.
Includes a NIM container as part of the release.
Best-fit use cases
FAQ
It is NVIDIA’s open, customizable multimodal model for specialized agents, with reasoning and tool-use capabilities.
The model handles text, image, document, and video input.
It is a 120-billion-parameter mixture-of-experts model with 12 billion active parameters.
Checkpoints, training recipes, and datasets are on Hugging Face. A NIM container is also provided.