GPU Utilization: Are You Wasting Your Most Expensive Resource?
GPU utilization isn't just a percentage; it's a measure of your return on investment. It tells you if your expensive hardware is computing or just waiting for data. Use it to diagnose slow training jobs and right-size cloud instances for ML workloads.
GPU utilization isn't just a percentage; it's a measure of your return on investment. It tells you if your expensive hardware is actually computing or just waiting for data, a common bottleneck MLOps observability aims to solve. Use it to diagnose slow training jobs, optimize inference costs, and right-size resources. The footgun: high utilization can be misleading; a GPU can be 100% "busy" but stalled on data I/O, doing no useful work.
Read the original → aws.amazon.com
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