Nvidia opens up Super VL, a model for always-on enterprise agents
Key points
- Super VL has 120 billion parameters, with 12 billion active per token, and handles text, images, documents and video.
- Nvidia claims it matches its largest model's accuracy at about one-fifth the parameters and scores 80.8% on CharXiv.
- Weights, datasets and training recipes are on Hugging Face; the 4GB Bolt E4B model has not shipped yet.
- Nvidia says every variant is optimized for its own hardware, so getting the most from Nemotron points toward its chips.
Why it matters for marketers: Content teams gain a self-hosted option for chart and document work without a separate vision model, though the performance figures are Nvidia's own claims.