Utilyze measures how efficiently your GPU is doing useful work

2026-04-30 | original

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Why This Matters

Utilyze offers a more accurate way to measure GPU efficiency by analyzing actual useful work rather than just activity levels, helping users optimize performance and avoid misleading metrics from traditional tools. This can lead to better hardware utilization, cost savings, and improved performance tuning for AI and high-performance computing workloads.

Key Takeaways

Utilyze directly reads GPU performance counters for precise utilization metrics.
It provides estimates on how much further workload capacity can be pushed.
Supports NVIDIA Ampere or newer GPUs on Linux with CUDA Toolkit 11.0+

Utilyze

Utilyze measures how efficiently your GPU is doing useful work, not just whether it's busy. It runs live against your workload with negligible overhead.

Standard tools like nvidia-smi and nvtop only check whether a kernel is running on the GPU. They can show 100% while your workload is using a tiny fraction of the hardware's real capacity.

Utilyze reads GPU performance counters directly to show what's actually being used, and provides an estimate of how far you can push utilization given a workload, model, and hardware. To learn more, read our blog post.

Utilyze is created by Systalyze.

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Requirements

Linux amd64 (arm64 support coming soon)

NVIDIA Ampere or newer GPU (A100, H100, H200, B200, RTX 3000+)

CUDA Toolkit 11.0+

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