A Reddit user shared a cost-effective method for multi-node GPU setups, demonstrating that expensive networking hardware is not necessary. By using a standard Ethernet cable and a USB-to-Ethernet adapter, they achieved 30 tokens/second inference speed with the `laguna Q2_K_XL` model on two 4060 GPUs and one additional 4060 GPU. The setup leverages NCCL and RPC for inter-GPU communication, with the user noting that split-mode tensor operations were not viable in this configuration. AI
IMPACT Demonstrates that affordable networking can be sufficient for multi-GPU LLM inference, potentially lowering hardware barriers.
RANK_REASON User-shared tip on optimizing hardware for LLM inference.
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