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Nvidia's New Open Weights Nemotron 3 Super Combines Three Different Architectures to Beat Gpt-Oss and Qwen in Throughput

Nemotron 3 Super offers up to 7.5x faster throughput than competing models and supports long 1-million-token context windows for efficient agentic AI workflows.

Summary by VentureBeat
Multi-agent systems, designed to handle long-horizon tasks like software engineering or cybersecurity triaging, can generate up to 15 times the token volume of standard chats — threatening their cost-effectiveness in handling enterprise tasks. But today, Nvidia sought to help solve this problem with the release of Nemotron 3 Super, a 120-billion-parameter hybrid model, with weights posted on Hugging Face.By merging disparate architectural philos…

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NVIDIA has announced Nemotron 3 Super, a new open model specialized for agent-based AI inference. Nemotron 3 Super employs the MoE architecture, which has 120 billion (120B) total parameters and 12 billion (12B) effective parameters, achieving both high computational efficiency and accuracy.

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Hawkdive.com broke the news in on Wednesday, March 11, 2026.
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