PulseAugur
中
实时 12:23:23
English(EN) Are EPYC CCDs all you need + benchmarks

AMD EPYC CPU 本地 LLM 性能基准测试

一位 r/LocalLLaMA 用户分享了对两款 AMD EPYC 处理器(9135 和 9374f)运行本地大型语言模型的基准测试。9374f 拥有 8 个核心复杂芯片(CCDs),本应具有优势,但初步测试显示其解码性能并未优于 9135。然而,在使用 48 个线程时,9374f 在某些场景下表现出更优越的性能,尽管其游戏性能仍被认为较差。 AI

影响 硬件选择会显著影响运行本地 LLM 的性能和成本效益。

排序理由 用户生成的 AI 任务硬件基准测试。

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 →

AMD EPYC CPU 本地 LLM 性能基准测试

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
用户生成的 AI 任务硬件基准测试。
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
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
89 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

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/iVoider ·

    EPYC CCDs 是你所需要的一切吗 + 基准测试

    <!-- SC_OFF --><div class="md"><p>Recently I've found a deal to buy 9374f for cheap to replace my bottle-necked 9135. 8 CCD looked delicious. But first benchmarks showed me no decoding advantage. Until I used 48 threads. Non 64 or 32, which gave even worse performance than 9135 i…