Q: 8
Your AI data center is experiencing increased operational costs, and you suspect that inefficient GPU
power usage is contributing to the problem. Which GPU monitoring metric would be most effective
in assessing and optimizing power efficiency?
Options
Discussion
Gotta be A here. Performance Per Watt is the only metric that directly relates work done to power used, which is what you care about for actual efficiency. D is just utilization, not efficiency per watt. Pretty sure that's right, unless I'm missing some weird NVIDIA-specific metric.
I don’t think it’s A. D.
It’s D, since core utilization seems like it would directly show how the GPU is being used for workloads.
Don’t think it’s D, A fits power efficiency best for this kind of GPU metric.
Nah, not D here. A traps people because core utilization measures workload, not efficiency. For power efficiency, it's got to be A.
A makes sense here since Performance Per Watt tells you how much output you're getting per unit of power, which is key if you're trying to lower operational costs tied to GPU energy use. Not totally sure, but fan speed and memory usage don't really reflect efficiency. Agree?
I'm picking D here because GPU Core Utilization tells you how much of the GPU is actually doing work, which I thought would help track efficiency. If your utilization is low, you're probably wasting power anyway. Not totally convinced though - maybe A does a better job with actual efficiency math. Anyone else go with D for this?
I don't think it's D. A is the right metric for efficiency since Performance Per Watt directly ties workload to power use. D just shows how busy the GPU is, which can be misleading if the power draw is high for little output. Seen similar wording in practice questions, pretty sure A is what they want here.
A tbh, seen similar on practice and D's a trap since it ignores efficiency focus.
A is the best call here. Performance Per Watt tells you exactly how much compute work you’re getting for each watt burned, so it gets to the heart of power efficiency in GPUs. Core utilization (D) just shows usage, not how effectively energy turns into output. Pretty sure NVIDIA’s DCGM docs focus on A for this reason-anyone disagree?
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