Utilyze – an open source GPU monitoring tool more accurate than nvtop

In plain words

Utilyze is an open-source GPU monitoring tool that measures actual compute and memory throughput instead of relying on standard metrics like those from nvidia-smi or nvtop. It samples hardware performance counters and reports utilization as a percentage of theoretical hardware limits, giving a more accurate picture of GPU capacity. The tool is designed for teams making capacity planning and optimization decisions who need to distinguish between GPUs that appear fully utilized on traditional dashboards but are actually underperforming.

written from the facts on this page · September 2026

From the sources

Systalyze

The standard GPU utilization metric doesn't measure what it claims to. Here's what accurate measurement actually looks like, and an open-source tool to bring it to every AI deployment. The standard GPU utilization metric, the one reported by nvidia-smi , nvtop , rocm-smi , Weights & Biases , Amazon CloudWatch , Google Cloud Monitoring , and Azure Monitor , does not measure how hard your GPU is actually working. It only tells you whether the GPU is doing anything at all. Real compute throughput can be as low as 1% while dashboards read 100%. That single misleading number drives enormous amounts of wasted spend, wasted energy, and unnecessary hardware purchases across the AI industry.…from systalyze.com

In the maker’s words, at launch

The standard GPU utilization metric reported by nvidia-smi, nvtop, Weights & Biases, Amazon CloudWatch, Google Cloud Monitoring, and Azure Monitor is highly misleading. It reports the fraction of time that any kernel is running on the GPU, which means a GPU can report 100% utilization even if only a small portion of…

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