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NVIDIA Releases Nemotron 3.5 Super VL, a 120B Open Multimodal Model, and Bolt Edge Models

NVIDIA released Nemotron 3.5 Super VL on Oct. 15, an open 120B-parameter multimodal model for always-on agents, with open weights, datasets and recipes, plus Nemotron 3.5 Bolt 74B-A9B for local use in 24GB. Speed and accuracy claims are NVIDIA's.

Times of AI Desk 2 min read Santa Clara, CA View as Markdown
Cover illustration for NVIDIA Releases Nemotron 3.5 Super VL, a 120B Open Multimodal Model, and Bolt Edge Models

NVIDIA on Thursday, October 15 released Nemotron 3.5 Super VL, an open 120-billion-parameter model for always-on enterprise agents that read web pages, PDFs, charts and documents. NVIDIA calls it "the fastest open agentic model in its class — 5x faster than the next best." That is NVIDIA's claim.

The model ships with open weights, open datasets and training recipes and was trained on about 26 trillion tokens, NVIDIA says. It also released Nemotron 3.5 Bolt 74B-A9B, which uses native 2-bit quantization to fit in 24GB for local agents, with a 4GB Bolt E4B due October 23. NVIDIA names organizations customizing or integrating Super VL, including Scale AI, CrowdStrike, Perplexity, Salesforce, Atlassian and Ramp.

The models join the family that began with Nemotron 3.5 Lightning in August.

Limits

  • Speed, accuracy and adoption claims are NVIDIA's; the licence text was not read.

Sources

Prior Coverage

Earlier Times of AI reporting on this thread.

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