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NVIDIA NCA-AIIO Exam - Topic 2 Question 10 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam

Question #: 10
Topic #: 2

[All NCA-AIIO Questions]

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

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.

Show Suggested Answer

Suggested Answer: C

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)

by Rima at Aug 18, 2025, 09:41 AM

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Vicky

8 months ago

I always thought it was about the cores available. Interesting!

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Ciara

8 months ago

I think it's definitely option C! Makes the most sense.

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Elfrieda

9 months ago

Option B is misleading; it's not just about memory usage.

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Paris

9 months ago

Wait, is it really just about processing time? Sounds too simple.

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Ilda

9 months ago

GPU utilization is all about how much time the GPU is actually working.

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Jimmie

9 months ago

I remember learning about GPU cores, but I don't think that's what utilization means. It seems more about processing time, which makes me lean towards C as well.

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Jutta

9 months ago

I feel like I came across a similar question, and it was about the percentage of time the GPU is busy. So, C sounds right to me, but I'm a bit hesitant.

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Thurman

10 months ago

I'm not entirely sure, but I remember something about GPU memory usage from practice questions. That makes me think option B could be relevant too.

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Raul

10 months ago

I think GPU utilization refers to how much the GPU is actually doing work, so maybe it's related to option C?

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Stephaine

10 months ago

I'm pretty confident the correct answer is C. GPU utilization measures the active processing load on the GPU, which is the key performance metric we'd want to monitor for a GPU-based workload.

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Yaeko

10 months ago

Okay, I've got this. GPU utilization is the percentage of time the GPU is actively processing data, not just the maximum time it's used or the memory consumed. Option C looks like the right answer here.

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Raelene

10 months ago

Hmm, I'm a bit unsure about this one. I know GPU utilization is important, but I'm not totally clear on the exact definition. I'll have to think this through carefully.

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Glenna

11 months ago

This seems like a straightforward question about GPU performance metrics. I think the key is understanding what "utilization" refers to in this context.

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Essie

11 months ago

I think GPU utilization is related to both the time and efficiency of the GPU in processing data. So, option C sounds right to me.

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Belen

11 months ago

I believe it's not just about the time, but also about how efficiently the GPU is processing data.

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Latrice

1 year ago

I agree with Susy. It makes sense that GPU utilization is about how much time the GPU is actually working.

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Susy

1 year ago

I think GPU utilization is the percentage of time the GPU is actively processing data.

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