🧩MoEDEV CommunityContent type: Blog

Hybrid Mamba-Transformer MoEs Hide Their Stalls in Places Dashboards Do Not Look (opens in new tab)

A trace of a hybrid Mamba-Transformer MoE inference run, broken down by layer type. The MoE all-to-all collective stalls dominate the tail. The dashboards saw 96% GPU utilization the entire window. TL;DR Hybrid Mamba-Transformer architectures (Nemotron 3 Nano Omni, Jamba and friends) shipped at speed in late April. These models break the assumptions vLLM and SGLang dashboards make about prefill/decode shape: Mamba state-space layers have one runtime profile, Transformer attention has another,...

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