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User seeks RAM advice for local AI inference server build

By PulseAugur Editorial · [1 sources] ·

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

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

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

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

    Server build for local inference. 128 gb 3200 or 256 gb 2133mhz RAM?

    <!-- 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>- …

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