A user is reporting positive results running the Qwen3.6-35B-A3B-UD-Q4_K_M large language model on a solar-powered, self-hosted server. The setup, utilizing older DDR3 hardware with three 2080 Ti GPUs, achieved approximately 63 tokens per second with no per-token cost. This demonstrates a budget-friendly and efficient approach to running advanced AI models locally. AI
IMPACT Demonstrates cost-effective local LLM deployment on older hardware.
RANK_REASON User report on running an LLM on self-hosted hardware.
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