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Operations · Intermediate

# GPU Cluster Job Resource Optimizer

Right-size cluster compute allocations and catch resource crashes before batch jobs run

[Use with BotBento ](https://app.botbento.com/?ref=usecases&utm_source=botbento.com&utm_medium=usecases&utm_campaign=gpu-cluster-job-resource-optimizer)Copy promptShare[Markdown](/text/usecases/gpu-cluster-job-resource-optimizer/index.md)

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

- When something happensJob script submitted to branch
- ThenAnalyze code and telemetry metrics
- ResultAsk approval to post tuned config

Analyze training scripts and cluster job manifests alongside recent telemetry to right-size GPU memory, core counts, and walltimes. The bot detects potential out-of-memory bottlenecks, highlights idle capacity waste, and prepares calibrated scheduler configurations to improve throughput across shared infrastructure.

## Prompt to start with

BotBentoRecommended

```
Review job manifests and repository scripts when new compute workloads are scheduled. Query cluster usage metrics to compare past runs with requested resources. Flag likely out-of-memory risks or excessive allocations, then draft revised scheduler flags. Never submit changes or broadcast recommendations to Slack without explicit user approval.
```

Copy

## Tools it uses

GitHubTerminalSlackDatadog

## Works with

BotBento

## Tags

- hpc
- gpu
- infrastructure
- optimization
- slurm

## Source

[Launch HN: Expanse (YC P26) – Unlock Wasted GPU Capacity](https://news.ycombinator.com/item?id=48356312)
Hacker News · checked 2026-10-15

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

By BotBento Editorial · Added 2026-10-15 · Updated 2026-10-15 · [Suggest a correction](/contact/)

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