Nemotron 3.5 Super VL
NVIDIA’s open multimodal model for specialized agents
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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.
PH · launched Oct 16, 2026 · 77 upvotes (top 2%) · 1 view
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
- Artificial Intelligence
Visit website ↗ Source listing ↗
Could you build this?
No Building a 120B parameter mixture-of-experts multimodal foundation model requires millions of dollars in compute, specialized distributed training clusters, and elite ML research expertise.
What it would actually take: A real version requires training large MoE architectures across thousands of GPUs using Megatron-LM or similar frameworks. The pipeline involves collecting and curating massive multimodal datasets (text, vision, video, code), continuous pre-training, supervised fine-tuning, and RLHF/DPO. This demands tens of millions of dollars in compute infrastructure and a top-tier machine learning research team.
Competitors
Other products that read as similar to this one : 281 launches clear the similarity bar, closest 8 shown.
Attention rank: #8 of 282 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 342 days after the earliest competitor.
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