When monitoring a GPU-based workload, what is GPU utilization?
A.
The maximum amount of time a GPU will be used for a workload.
B.
The GPU memory in use compared to available GPU memory.
C.
The percentage of time the GPU is actively processing data.
D.
The number of GPU cores available to the workload.
The Answer Is:
C
This question includes an explanation.
Explanation:
GPU utilization is defined as the percentage of time the GPU’s compute engines are actively processing data, reflecting its workload intensity over a period (e.g., via nvidia-smi). It’s distinct from memory usage (a separate metric), core counts, or maximum runtime, providing a direct measure of compute activity.
(Reference: NVIDIA AI Infrastructure and Operations Study Guide, Section on GPU Monitoring)
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