Event ·Official first-hand

压缩混合MoE模型Nemotron-Labs-3-Puzzle-75B-A9B,吞吐量提升2.03倍

NVIDIA发布Nemotron-Labs-3-Puzzle-75B-A9B,这是Nemotron-3-Super的压缩变体。通过Iterative Puzzle方法,总参数从120.7B降至75.3B,活跃参数从12.8B降至9.3B。在单台8xB200节点上,它实现了2.03倍于Super的总吞吐量,每用户100 tok/s。在H100上,1M-token并发从1提升到8。

Current read

NVIDIA把这个MoE模型压到75B,吞吐翻倍,用户延迟不变,适合降本增效。

11 sources73° AI heatLast updated 2026/7/9 08:47:37

Evidence

11 sources
Related source 6Aravind Srinivas
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Related source 7arXiv cs.LG
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Related source 8AWS Machine Learning Blog
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Related source 9Harrison Chase
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Related source 10Clement Delangue
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