Instantly Identify LLM 推理 Bottlenecks with Just 3 nvidia-smi Metrics

This article provides a brilliantly accessible and highly practical guide for anyone running local Large Language Models (LLMs) to diagnose performance issues. By boiling down complex hardware analysis into just three easy-to-read metrics—GPU utilization, VRAM usage, and power consumption—it completely demystifies the troubleshooting process. The inclusion of a clear decision flowchart empowers developers to instantly identify whether their bottleneck is compute, memory capacity, or CPU-GPU transfer limits.