NVIDIA has unveiled three open AI models designed to bring autonomous agents to more computing environments. The lineup centers on Nemotron 3.5 Super VL, a 120-billion-parameter model built for complex tasks. Two smaller variants target users who want to run AI agents directly on local hardware.

The release expands NVIDIA’s push toward customizable AI that organizations can operate on their own infrastructure. It also addresses a practical challenge for developers: running capable agents without sending every request to a cloud service.

Nemotron 3.5 Super VL handles tasks that require more than generating text. It can interpret visual information and follow instructions while using external tools to complete multistep workflows.

NVIDIA claims the model completes tasks five times faster than the nearest competitor in its class. The company also says its accuracy approaches that of NVIDIA’s largest reasoning model, despite having roughly one-fifth as many parameters.

Those capabilities could help enterprises automate work that involves lengthy research or detailed document analysis. Developers can further train the model on proprietary information to improve its performance on specialized assignments.

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 pic.twitter.com/BcbED05qSG

Several organizations have already begun customizing Super VL. Scale AI adapted it for Skydance’s vendor credit finance agent. It also worked on a separate version for EY’s merger-and-acquisition due diligence agent.

AfterQuery customized the model for Hebbia’s credit agreement analysis. Other projects focus on cybersecurity, where AI21 and Alice have worked on attack resilience.

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