April 27, 2026
Is your GPU meter gaslighting you?
Show HN: Utilyze – an open source GPU monitoring tool more accurate than nvtop
New GPU “truth meter” drops, fans cheer while skeptics ask: where’s AMD and the basics
TLDR: Utilyze claims common GPU “utilization” numbers are misleading and offers a truer view of real work, promising big savings. The crowd’s split: fans want it as a full replacement, skeptics say use profilers or power metrics, and many are poking for AMD support and basic stats.
Systalyze just tossed a grenade into GPU land with Utilyze, an open-source tool claiming your go-to “utilization” number is basically a vibes meter. The pitch: dashboards that read 100% can still mean your GPU’s barely working, wasting cash, energy, and time. Cue the comment fireworks on Hacker News. Some loved the honesty; others wanted the kitchen sink. One early fan demanded it become a real nvidia-smi replacement with memory, temps, and fan speed—because without the everyday stats, it’s not replacing anyone’s routine. Another voice rolled in hot with the “just profile your app” take, saying power usage and NVIDIA’s Nsight (a profiling tool) are the real truths, and quipping that not many people even want a terminal UI. Then came the plot twist: AMD users knocked on the door, noting the blog name-drops AMD’s ROCm tools but the tool itself doesn’t support AMD GPUs yet. Meanwhile, embedded folks asked if it runs on Jetson boards, not just big servers. The memes wrote themselves: “100% busy doing nothing,” “GPU gaslighting,” and “fake hustle metrics.” Love it or side-eye it, the crowd agrees on one thing: if Utilyze really exposes hidden headroom, that’s real money saved in a compute crunch.
Key Points
- •Systalyze released Utilyze, an open-source tool that measures true GPU compute efficiency in real time with negligible overhead.
- •Common GPU utilization metrics (e.g., nvidia-smi, nvtop, rocm-smi, CloudWatch, Google Cloud Monitoring, Azure Monitor) indicate activity, not actual workload intensity.
- •Utilyze reveals performance headroom even when standard dashboards show 100% utilization, helping avoid unnecessary hardware purchases.
- •Accurate measurement is presented as foundational for optimization, enabling Systalyze’s platform to improve end-to-end AI workload performance.
- •AI compute scarcity is increasing, with NVIDIA H100 rental prices up ~40% from Oct 2025 to Mar 2026 and energy costs rising, making optimization urgent.