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实时 22:01:52
(CA) Is RX 6800 + 6800 XT a sensible upgrade from 2x RTX 2060 OC 12GB for llama.cpp?

本地LLM用户权衡AMD GPU升级以提升llama.cpp性能

一位用户正在寻求关于升级GPU配置的建议,以便使用llama.cpp在本地运行大型语言模型。他们正在考虑用一块RX 6800 16GB和一块RX 6800 XT 16GB(总计32GB显存)替换掉两块RTX 2060 12GB显卡(总计24GB显存)。用户担心在llama.cpp中,这种混合AMD配置在ROCm或Vulkan支持以及与当前CUDA配置相比的整体令牌生成速度方面会产生性能影响。 AI

影响 优化本地LLM推理性能的潜在硬件选择。

排序理由 用户关于在本地运行LLM硬件的咨询。

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 →

本地LLM用户权衡AMD GPU升级以提升llama.cpp性能

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Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Tool
用户关于在本地运行LLM硬件的咨询。
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报道来源 [1]

  1. r/LocalLLaMA TIER_1 (CA) · /u/BarberIcy366 ·

    RX 6800 + 6800 XT 从 2x RTX 2060 OC 12GB 升级到 llama.cpp 是否明智?

    <!-- SC_OFF --><div class="md"><p>I’m currently running llama.cpp on two RTX 2060 12GB cards, so 24GB total VRAM. With Qwen3.8 27B IQ4_XS at 131k context I’m getting around 45 tok/s, which is actually pretty good for this setup.</p> <p>I found a deal on an RX 6800 16GB and an RX …