A user on Reddit's r/LocalLLaMA subreddit is inquiring about the feasibility of using a repurposed 13-GPU ASRock mining motherboard for running local large language models (LLMs). The user plans to equip the board with multiple RTX 3090 GPUs for inference tasks with models like Qwen and DeepSeek. They are seeking advice on potential performance bottlenecks due to PCIe x1 slots and whether this setup is a viable alternative to more traditional workstation platforms like EPYC or Threadripper. AI
IMPACT Explores potential for using repurposed mining hardware for local LLM inference, impacting cost-effectiveness for hobbyists.
RANK_REASON User inquiry about repurposing hardware for AI tasks.
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