Nvidia's Nemotron 3.5 Super VL is an open model built to run enterprise AI agents nonstop

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.

Two smaller models for local hardware ship at the same time. Nemotron 3.5 Bolt 74B-A9B 24GB runs agent tasks on local machines, while the smaller Bolt E4B 4GB targets fast voice assistants and will follow later this month. Both models offer the "highest intelligence per gigabyte of memory," Nvidia claims.

Super VL and Bolt join the existing Nemotron lineup. Lightning, released in August, is built for high throughput, while Ultra tackles tough reasoning tasks. Every variant is optimized for Nvidia hardware.

Nvidia claims its biggest model's accuracy at one-fifth the size

Nvidia distilled Super VL from Nemotron 3 Ultra, its largest reasoning model. On tasks where an agent follows instructions, calls tools, works through multi-step business processes, or analyzes images, Super VL is supposed to match Ultra's accuracy with only about one-fifth the parameters. In agent tests from Hermes and LangChain, it actually scores higher than Ultra, according to Nvidia, and it also beats its predecessor Nemotron 3 Super on the coding benchmarks SWE-bench and Terminal-Bench.