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9,582 products · 46,183 snapshots
Nemotron 3.5 Super VL

Nemotron 3.5 Super VL

Notable signal

NVIDIA’s open multimodal model for specialized agents

Launched 12h ago
Signal
54
Velocity
0

What this means

21Founder Conviction Index: 21 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.

Prediction

Top-5 finish probability
22%
today
Projected end-of-day votes
76range 57–103
Trajectory
stable
Vote pace holding steady.

About

Nemotron 3.5 Super VL is NVIDIA’s open, customizable multimodal model for specialized agents. It is a 120B mixture-of-experts model with 12B active parameters that handles text, image, document, and video input, plus reasoning and tool use, in one model. NVIDIA claims up to 5x higher agentic throughput on a single GPU than open models its size. Checkpoints, training recipes, and datasets are on Hugging Face, with a NIM container.

AI Summary

Nemotron 3.5 Super VL is a 120B mixture-of-experts multimodal AI model by NVIDIA, designed for specialized agents with capabilities in text, image, document, and video processing. It features 12B active parameters and offers up to 5x higher agentic throughput on a single GPU compared to similar open models.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum14
Sustained over 6h
Virality0
Spread × engagement
Engagement6
Discussion per unit of attention

Editorial read

Nemotron 3.5 Super VL boasts 5x higher agentic throughput on a single GPU.

InvestigateRanks high on little evidence. Worth a look, but verify before committing.
235/8
Surprising

Signal 54 out of 100, 120B model, 12B active parameters, 5x higher throughput.

Timeliness5%100
carried 7%
Novelty15%85
carried 20%
Story20%77
carried 27%
Business15%33
carried 20%
Trend20%31
carried 27%
Not measured · 3 of 8
Revenue10%—
Founder10%—
Cross-platform5%—

Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.

measuredmeasured, zeronot measured
Full audit →

Signal sources

3 of 6 active
  • Launch tracking4 readings since we picked it up
  • AI analysisAI Agents
  • Comment intelligencethread not yet analysed
  • Outside discussionnot checked — domain is a storefront or shared
  • Revenue signalsno match on this domain
  • Editorial scoring13% evidence coverage

A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.

Founders

Kumar Abhishek
@zerotox · hunter

Topics

Artificial Intelligence