community Reddit LocalLLaMA 2026-09-27T22:13 正文 thin 0 words

Qwen3.8-Flash-Next 177B NVFP4(119GiB): SSD streaming at 9-10 tok/s on one 16 GB RTX 5060 Ti + 32 GB RAM

英文标题:Qwen3.8-Flash-Next 177B NVFP4(119GiB): SSD streaming at 9-10 tok/s on one 16 GB RTX 5060 Ti + 32 GB RAM

We built an inference engine for MoE models that don't fit in VRAM + RAM. Most of the model stays on the SSD, and experts are read as tokens need them. This started as a proof of concept, and poc worked, we are getting 9-10 tok/s decode on Qwen3.8-Flash-Next NVFP4 (9.06 on the benchmark turn,
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中文

We built an inference engine for MoE models that don't fit in VRAM + RAM. Most of the model stays on the SSD, and experts are read as tokens need them. This started as a proof of concept, and poc worked, we are getting 9-10 tok/s decode on Qwen3.8-Flash-Next NVFP4 (9.06 on the benchmark turn,

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English / 原文

We built an inference engine for MoE models that don't fit in VRAM + RAM. Most of the model stays on the SSD, and experts are read as tokens need them. This started as a proof of concept, and poc worked, we are getting 9-10 tok/s decode on Qwen3.8-Flash-Next NVFP4 (9.06 on the benchmark turn,