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PC build advice sought for running large language models and ComfyUI

By PulseAugur Editorial · [1 sources] ·

A user on Reddit's r/LocalLLaMA subreddit is seeking advice for building a new PC optimized for running large language models like Qwen 3.8 Next and GLM 3 Flash, as well as ComfyUI for image generation. The user plans to utilize llama.cpp and potentially vLLM, with a focus on sharding models across multiple GPUs and offloading to RAM. They are considering a setup with three internal GPUs and two external GPUs via Thunderbolt 5, aiming for a total of 80GB of VRAM using RTX 5060 Ti 16GB cards and 128GB of system RAM. The user is also inquiring about the feasibility of running Linux on a second PC for this setup and whether their proposed hardware configuration has any obvious flaws. AI

RANK_REASON This is a user seeking personal technical advice on a hardware build for running LLMs, not a news event.

Read on r/LocalLLaMA →

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

PC build advice sought for running large language models and ComfyUI

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0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Meme
This is a user seeking personal technical advice on a hardware build for running LLMs, not a news event.
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Single-source cluster
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
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/OpenEvidence9680 ·

    Help for PC build

    <!-- SC_OFF --><div class="md"><p>I am in the process of buying a new PC, the excuse is that mine is really old now, even though in the years I changed so many bits and pieces that maybe just the psu is the same.<br /> Anyway.<br /> I use llama.cpp (open to vLLM in time) and comf…

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