PulseAugur
中
实时 23:39:15

User seeks RAM advice for local AI inference server build

作者 PulseAugur 编辑部 · [1 个来源] ·

A user is seeking advice on building a server for local inference, specifically questioning the optimal RAM configuration for their dual RTX 3090 setup. They are debating between 128 GB of 3200 MHz RAM or 256 GB of 2133 MHz RAM, considering the cost and potential benefits for large models like Qwen 3.5 397B. AI

排序理由 User-generated content on a specific hardware configuration for local AI inference, not a significant industry event.

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 →

报道来源 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/PreparationTrue9138 ·

    本地推理服务器配置。128GB 3200MHz 还是 256GB 2133MHz 内存？

    <!-- SC_OFF --><div class="md"><p>Hi, I am building a server so that my dual rtx 3090 setup runs at full speed.</p> <p>- asrock romed8 t2 revision 1.3</p> <p>- epyc 7642</p> <p>- ddr4 128 gb 3200 or 256 gb 2133 (256 gb is a bit cheaper) 8 channel </p> <p>- dual rtx 3090</p> <p>- …

相关实体

相关话题