KeepGPU
KeepGPU is a small, polite GPU keeper for shared machines. It allocates only when utilization backoff permits, keeps the requested VRAM signal lightweight, and releases cleanly when you are done.
Quick Start
pip install keep-gpu
keep-gpu --gpu-ids 0 --vram 1GiB --interval 60
Press Ctrl+C to release. CUDA, ROCm/HIP, and Apple Silicon MPS are supported
when PyTorch can see the target device.
Documentation
- Documentation is the full guide hub.
- Getting Started covers install options and the first hardware check.
- Citation has the BibTeX entry.
1 maintainer
Metadata
1 maintainer
Release files for keep-gpu 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| keep_gpu-1.0.0.tar.gz | 105.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| keep_gpu-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 221.3 kB
Release files / keep_gpu-1.0.0.tar.gz
| Download URL | keep_gpu-1.0.0.tar.gz |
|---|---|
| Size | 105.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Release files / keep_gpu-1.0.0-py3-none-any.whl
| Download URL | keep_gpu-1.0.0-py3-none-any.whl |
|---|---|
| Size | 115.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Security for keep-gpu 1.0.0
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