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NVIDIA Nemotron 3.5 Super VL

It Powers Specialized Agents with Multimodal Reasoning

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Our new open model combines reasoning and tool use with text, image, document, and video understanding for long-running AI agents.

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PH · launched Oct 16, 2026 · 4 upvotes (top 7%)

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Could you build this?

No This is a foundational vision-language frontier model created by NVIDIA, requiring millions of dollars in compute, tens of thousands of GPUs, and deep AI research teams to pretrain and align.

What it would actually take: Training this model requires high-performance cluster computing (hundreds or thousands of NVIDIA H100/B200 nodes connected via InfiniBand) and massive multimodal datasets spanning text, documents, video, and code. It relies on advanced distributed training frameworks (Megatron-LM, NeMo), custom attention kernels, multimodal alignment techniques, and extensive reinforcement learning with human/AI feedback (RLHF/RLAIF). This is exclusively the domain of elite AI research labs.

Competitors

Other products that read as similar to this one : 957 launches clear the similarity bar, closest 8 shown.

Attention rank: #71 of 958 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 351 days after the earliest competitor.

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