From the source
Nvidia has released Nemotron 3.5 Super VL, an open multimodal model with 120 billion parameters built for agent tasks and document analysis in enterprise settings.
Two smaller Bolt variants target local machines: a heavily compressed model for systems with 24 GB of memory or more, and a later 4 GB version for voice assistants.
Nvidia is publishing datasets and training recipes alongside the model weights, but optimizes everything for its own hardware to drive chip and system sales.
Nvidia has released Nemotron 3.5 Super VL, an open multimodal model with 120 billion parameters built for enterprise agents.
Two compact Bolt models designed to bring AI agents to local PCs and edge devices are launching alongside it.
Nvidia built Nemotron 3.5 Super VL for specialized agents that run continuously in the background, processing text, images, documents, and videos.
As the company explains in a technical blog post , it uses a Mixture-of-Experts architecture where only 12 billion of the 120 billion parameters are active per token.
Nvidia developed the model with the Nemotron Coalition , a group that includes Mistral AI,
Thinking Machines Lab,
Perplexity, and Black Forest Labs.