A Reddit user discovered that their dual Nvidia RTX 5060 Ti setup was only reaching about 50% utilization when running the Qwen 3.6 27B model due to a layer-by-layer model splitting method. This method causes the GPUs to process sequentially rather than in parallel, limiting performance. The user found that enabling a "tensor" split mode, which allows both GPUs to work on the same layer simultaneously, significantly improved utilization and performance, though it requires careful benchmarking for optimal results without NVLink. AI
IMPACT Understanding GPU utilization bottlenecks can help users optimize local LLM inference performance.
RANK_REASON User-level technical discovery about hardware configuration for running LLMs.
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