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English(EN) So running inference on qwen3.8-flash-next on AMD Strix Halo is having average power consumption of GPU 45W, less than light bulb. With measured generation of a

Qwen3.8 Flash-Next 在 AMD Strix Halo 上实现低功耗推理

作者 PulseAugur 编辑部 · [1 个来源] ·

一位 Mastodon 用户报告称，在使用 AMD Strix Halo 平台运行 Qwen3.8 Flash-Next 模型进行推理时，功耗效率令人印象深刻。GPU 平均仅消耗 45W 功率，与灯泡相当，同时实现了大约每秒 32 个 token 的生成速度。 AI

影响 展示了在消费级/专业级硬件上实现高效 AI 推理的潜力。

排序理由 用户关于特定模型硬件性能的报告，并非官方发布或基准测试。

在 Mastodon — fosstodon.org 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Qwen3.8 Flash-Next 在 AMD Strix Halo 上实现低功耗推理

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9 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Tool
用户关于特定模型硬件性能的报告，并非官方发布或基准测试。
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报道来源 [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    So running inference on qwen3.8-flash-next on AMD Strix Halo is having average power consumption of GPU 45W, less than light bulb. With measured generation of a

    So running inference on qwen3.8-flash-next on AMD Strix Halo is having average power consumption of GPU 45W, less than light bulb. With measured generation of about 32tok/s (peaking at 48 and low as 22). Not bad at all. # AI

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