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# GPU compute efficiency auditor

Evaluate true hardware throughput and detect underutilized accelerator clusters

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Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- On a scheduleEvery six hours
- ThenSample throughput and memory metrics
- ResultReview efficiency summary in Slack

Standard GPU metrics often show full utilization while actual compute cores remain idle. This bot inspects hardware performance counters across compute instances, contrasts active kernel runtime with real throughput metrics, and compiles diagnostic efficiency digests to prevent overprovisioning.

## Prompt to start with

BotBentoRecommended

```
Run diagnostic profiling commands on target accelerator nodes via the terminal. Query hardware performance metrics to compare memory bandwidth and arithmetic throughput against reported kernel active times. Format findings into a cluster efficiency digest highlighting bottlenecks or idle capacity. Before posting any report to engineering channels or making infrastructure alert modifications, prompt the engineer for explicit confirmation.
```

Copy

## Tools it uses

TerminalDatadogSlack

## Works with

BotBento

## Tags

- gpu
- infrastructure
- profiling
- monitoring
- cost

## Source

[Show HN: Utilyze – an open source GPU monitoring tool more accurate than nvtop](https://news.ycombinator.com/item?id=47921626)
Hacker News · checked 2026-10-16

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-16 · Updated 2026-10-16 · [Suggest a correction](/contact/)

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