Build Visual AI Agents With NVIDIA Nemotron 3.5 Super VL

Learn how NVIDIA Nemotron 3.5 Super VL investigates why an AI bill rose 30% using a dashboard screenshot and a scanned pricing sheet. In this walkthrough, Chris Alexiuk introduces the open 120-billion-parameter mixture-of-experts model with 12 billion active parameters, then Chia-Chih Chen demonstrates a visual investigation agent. The agent reads the dashboard, identifies a surge in thinking-token use, writes Python to compare routing options and prepares a proposal for human approval. The recommended plan stays within the team’s quality bar while projecting about $100,000 in monthly savings