At 2 AM, an on-call engineer checks the dashboard and sees GPU utilization at 87%. No alerts are triggered, leading her to believe the system is functioning well. However, this focus on GPU metrics can be misleading.
High GPU utilization does not necessarily indicate that the AI inference system is performing optimally. Other factors, such as latency and throughput, are crucial for assessing overall system health.
By concentrating solely on GPU usage, engineers risk overlooking significant performance bottlenecks that could affect user experience and system efficiency.