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User seeks advice on dual-GPU setup for local LLM inference

By PulseAugur Editorial · [1 sources] ·

A user on the r/LocalLLaMA subreddit is seeking advice on configuring a dual-GPU setup for running large language models locally. They plan to combine a new NVIDIA RTX 3090 with their existing RTX 3060 in a ThinkStation P520 workstation. The primary goal is to achieve 36GB of VRAM for enhanced model performance, with considerations for power supply limitations and software compatibility using Manjaro Linux and llama.cpp. AI

RANK_REASON This is a user-generated question on a specific hardware configuration for local LLM inference, not a new release, significant industry event, or research paper.

Read on r/LocalLLaMA →

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

User seeks advice on dual-GPU setup for local LLM inference

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Meme
This is a user-generated question on a specific hardware configuration for local LLM inference, not a new release, significant industry event, or research paper.
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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.
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infra, product
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High
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124 days old
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Positive-Stock6444 ·

    Dual GPUs - 3060 & 3090 on a P520

    <!-- SC_OFF --><div class="md"><p>I've got a line on a reasonably priced 3090FE and I'm wondering whether it would play nicely with the 3060 I'm already using. </p> <p>System is a ThinkStation P520 - PSU would be an issue until I can get a replacement, so would have to run both G…

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