Watch the Four Signals That Make Local Models Usable
Apply latency, traffic, errors, and saturation to monitor local-LLM inference quality.
The move: monitor the service before judging the model. Local inference is still a production service when other people depend on it. The SRE golden signals give you a simple operating view: latency, traffic, errors, and saturation. For local LLMs, latency should include time to first token and tokens per second. Traffic should include request count, prompt tokens, generated tokens, and concurrent sessions. Errors should include crashes, timeouts, context truncation, malformed JSON, and failed model loads. Saturation should include GPU VRAM, CPU RAM, queue depth, disk pressure, and thermals. The mechanism matters. Model quality and service quality are easy to…
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