When monitoring a GPU-based workload, what is GPU utilization?

The correct answer is C. The percentage of time the GPU is actively processing data. 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…

Performance, Troubleshooting and Security

Question

Options

AThe maximum amount of time a GPU will be used for a workload.
BThe GPU memory in use compared to available GPU memory.
CThe percentage of time the GPU is actively processing data.
DThe number of GPU cores available to the workload.

How the community answered

(28 responses)

A
4% (1)
B
4% (1)
C
86% (24)
D
7% (2)

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.

Topics

#GPU utilization#Performance monitoring#GPU metrics#Workload monitoring

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