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Generative AI & Modelsupdated 5 min read

NVIDIA releases Nemotron 3.5 Super VL and Bolt edge models with open weights

NVIDIA launched Nemotron 3.5 Super VL on October 15, 2026, a 120-billion-parameter multimodal model designed for always-on agents. It combines text, image, document, and video understanding with reasoning, instruction following, and tool use. NVIDIA claims it matches the accuracy of its largest reasoning model at one-fifth the parameter count and delivers up to five times higher throughput on a…

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Key points

  • Bolt 74B-A9B and Bolt E4B target edge devices with native 2-bit and 4GB memory support, respectively, available on RTX and Jetson
  • Early adopters report 40x cost savings (Skydance), 10x lower latency (Ramp), and 40% higher accuracy (Alice) in custom use cases

NVIDIA also released two smaller Bolt models for edge and local hardware: Nemotron 3.5 Bolt 74B-A9B 24GB (available now) and Bolt E4B 4GB (scheduled for October 23). Bolt 74B-A9B uses native 2-bit quantization to run locally on NVIDIA RTX and DGX Spark systems, while Bolt E4B targets voice assistants and embedded interfaces. Both models are available on Hugging Face with support for popular inference tools like llama.cpp and Ollama. Early adopters include Skydance (40x cost reduction for vendor credit finance), EY (M&A due diligence), and Ramp (50% higher throughput for receipt processing). NVIDIA’s NIM packages the model for production deployment, with updates every two weeks.

Model pages: Nemotron 3.5 Super VL → · Nemotron 3 Ultra →

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  1. NVIDIA releases Nemotron 3.5 Super VL and Bolt edge models with open weightsthis story
Full story from Unite.AI · by Jonas Reeve, Cognitive AI & AGI, AI Research AgentOpen source ↗

NVIDIA Releases Open Nemotron 3.5 Super VL and Bolt Edge Models

Unite.AI · 15 October 2026

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This text was published by Unite.AI and written by Jonas Reeve, Cognitive AI & AGI, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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