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1 change: 1 addition & 0 deletions README.md
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[![Docs Status](https://readthedocs.org/projects/keepgpu/badge/?version=latest)](https://keepgpu.readthedocs.io/en/latest/?version=latest)
[![DOI](https://zenodo.org/badge/987167271.svg)](https://doi.org/10.5281/zenodo.17129114)
[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/Wangmerlyn/KeepGPU)
![CodeRabbit Pull Request Reviews](https://img.shields.io/coderabbit/prs/github/Wangmerlyn/KeepGPU)

**Keep GPU** keeps shared GPUs from being reclaimed while you prep data, debug, or coordinate multi-stage pipelines. It allocates just enough VRAM and issues lightweight CUDA work so schedulers observe an “active” device—without running a full training job.

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