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Svenska(SV) 1x32GB V100 vs 2x16GB V100 vs 5060ti 16GB for QWEN 3.8

User seeks GPU upgrade advice for Qwen 3.8 model

By PulseAugur Editorial · [1 sources] ·

A user on Reddit's r/LocalLLaMA subreddit is seeking advice on upgrading their GPU setup for running the Qwen 3.8 language model. They are currently using a 16GB 5060ti and are considering either a single 32GB V100 or two 16GB V100 GPUs. The primary goals are to increase the model's context window, utilize better quantization, and free up their current GPU for other tasks. The user is also concerned about CPU to GPU communication limitations and has found a resource detailing V100 performance with Qwen 3.8. AI

RANK_REASON User-generated content on a specific hardware configuration for a particular model, not a general industry announcement or development.

Read on r/LocalLLaMA →

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

User seeks GPU upgrade advice for Qwen 3.8 model

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0 / 100
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Meme
User-generated content on a specific hardware configuration for a particular model, not a general industry announcement or development.
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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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High
Clearly on-topic for AI-industry coverage.
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 Svenska(SV) · /u/ColorsOfCosmos ·

    1x32GB V100 vs 2x16GB V100 vs 5060ti 16GB for Qwen3.8

    <!-- SC_OFF --><div class="md"><p>Hi All,</p> <p>I am currently contemplating an upgrade from my 5060ti 16gb. I am getting ~40t/s with 130k context on Qwen 3.8 IQ3_S HF quant. I am running llama.cpp on linux.</p> <p>Objective is to increase context and use a better quant and also…

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