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nvidia-smi shows 30 percent utilization on our serving fleet. Is that a problem, and what would you look at instead?

Thirty percent GPU utilization means kernels ran during about thirty percent of the sampled time. Find out what limits those kernels, what happens between them, and whether requests are meeting their latency targets.

Updated Oct 2026 · Learn how AI infrastructure works through explanations, worked examples and diagrams, then practise applying it to interview questions.

Thirty percent GPU utilization means kernels ran during about thirty percent of the sampled time. Find out what limits those kernels, what happens between them, and whether requests are meeting their latency targets.

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Work through the numbers

Change the assumptions in a free calculator, then explain what the result establishes and what still needs measurement.

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FEDITOR'S NOTE

Distinguish kernel duty cycle from resource activity, align measurement windows, and use request latency and queue evidence to decide whether 30% utilization represents spare capacity.

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