Utilyze: Accurate GPU monitoring tool with better metrics than nvtop

What it does

Utilyze is a GPU monitoring tool that measures actual compute throughput rather than the misleading utilization metric reported by standard tools like nvidia-smi, nvtop, and cloud monitoring platforms. The standard metric shows whether a GPU is doing anything at all, not whether it is working efficiently. Utilyze runs alongside AI workloads in real time with negligible overhead and provides accurate measurement of how hard GPUs are actually working and how close they are to realistic maximum throughput for specific workloads.

Who it is for

The tool targets teams running AI deployments at scale who rely on GPU utilization metrics for capacity planning, optimization decisions, and hardware procurement. This includes enterprises, research organizations, and infrastructure teams dealing with GPU clusters where measurement accuracy directly impacts spending and energy consumption decisions.

Pricing

The site does not show prices. Utilyze is open-source and free, available through a command-line installer. Systalyze, the parent company, appears to offer a separate optimization platform built on top of the measurement tool, but pricing for that service is not visible on the homepage.

How it stands out

The core insight differentiates Utilyze from incumbents: standard tools declare GPUs fully saturated while actual compute throughput can be as low as 1 percent. The tool's authors claim production deployments revealed orders-of-magnitude performance headroom in settings that standard monitoring declared fully utilized. By making the gap visible, Utilyze addresses a foundational measurement problem rather than competing on features within the existing framework.

What a founder should check

First, verify how entrenched the standard metrics are. GPU utilization by the existing definition appears in Weights & Biases, Amazon CloudWatch, Google Cloud Monitoring, Azure Monitor, and NVIDIA's own tools—a formidable installed base. Second, examine switching costs. Teams have already built dashboards, alerts, and decision-making processes around existing metrics. Replacing them requires not just a better tool but retraining teams and rebuilding workflows. Third, assess the moat around the optimization platform that Systalyze is building on top of Utilyze. If the measurement tool is open-source and free, the defensibility lies in the paid optimization layer above it, which remains undefined on the homepage.

Thinking of building something like this?

Every launch here is a competitor to somebody's idea. If yours is close, check it against the market before you build: the Full Check names the rivals, the prices and the gaps.