ended5월 5일· 1 sources
The Utilization Myth: Why 100% GPU Usage Doesn't Mean High Throughput
GPU 점유율 100%의 역설, vLLM 성능 저하 뒤에 숨겨진 가짜 지표
Why it matters
Current GPU monitoring relies on duty-cycle counters that fail to reflect actual computational efficiency, leading to 'invisible' performance collapses in AI workloads. Engineers must shift toward causal observability—tracking kernel runtimes and I/O stalls—to accurately diagnose and resolve vLLM latency spikes.
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GPU Utilizationnvidia-smivLLMToken ThroughputGPU Observability