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English(EN) **DeepSeek-V4-Flash-0731 on 4x Radeon AI PRO R9700 with affinity: the "refused" 4-card config works, ~79 tok/s on real cards**

DeepSeek-V4-Flash-0731 在 4 张 Radeon AI PRO R9700 显卡上运行,突破了先前的限制

一位用户已成功将 DeepSeek-V4-Flash-0731 模型配置为在四张 Radeon AI PRO R9700 显卡上运行,速度约为每秒 79 个 token。此配置克服了之前亲和性引擎在超过两张卡时无法启动的限制,这个问题似乎源于模拟而非实际硬件执行。该设置涉及特定的亲和性引擎分支和放置策略,以确保所有模型专家都驻留在 VRAM 中,无需主机池即可提高性能。 AI

影响 展示了大型语言模型性能的提升和更广泛的硬件兼容性。

排序理由 用户在消费级硬件上成功配置并基准测试了特定模型,克服了软件限制。

在 r/LocalLLaMA 阅读 →

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

DeepSeek-V4-Flash-0731 在 4 张 Radeon AI PRO R9700 显卡上运行,突破了先前的限制

本文如何被排名

Signal score
6 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
用户在消费级硬件上成功配置并基准测试了特定模型,克服了软件限制。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/brainchillzZ ·

    DeepSeek-V4-Flash-0731 在 4x Radeon AI PRO R9700 上运行,并设置了亲和性:已“拒绝”的 4 卡配置可用,实际卡上速度约 79 token/s

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x70e5r/deepseekv4flash0731_on_4x_radeon_ai_pro_r9700/"> <img alt="**DeepSeek-V4-Flash-0731 on 4x Radeon AI PRO R9700 with affinity: the &quot;refused&quot; 4-card config works, ~79 tok/s on real cards**" src=…