Research

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.

Systalyze is open-sourcing Utilyze, a free, production-ready monitoring and debugging tool that accurately shows how efficiently your GPUs are actually doing useful work, and how close you are to the realistic maximum for your specific workload. Utilyze runs alongside any AI workload in real time with negligible overhead. In production deployments, Utilyze revealed orders-of-magnitude performance headroom in settings that standard tools declared fully saturated.