https://github.com/nebrelbug/gom

CLI tool to monitor GPU usage across Docker processes
https://github.com/nebrelbug/gom

cli docker gpu pip python

Last synced: 3 days ago
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CLI tool to monitor GPU usage across Docker processes

• Host: GitHub
• URL: https://github.com/nebrelbug/gom
• Owner: nebrelbug
• License: mit
• Created: 2023-09-14T22:20:50.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2023-10-19T20:43:26.000Z (about 1 year ago)
• Last Synced: 2024-12-08T16:12:03.939Z (20 days ago)
• Topics: cli, docker, gpu, pip, python
• Language: Python
• Homepage: https://pypi.org/project/gom/
• Size: 37.1 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# gom

`gom` is a CLI tool that displays a human-readable table with GPU usage information. Think `nvidia-smi`, but minimalist and pretty.

It also shows per-container GPU usage information if Docker is installed.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install `gom`.

## Usage

`gom show` displays a table with GPU usage information.

`gom watch` displays a table with GPU usage information and updates it every second.

## Screenshots

Compare the output of `gom show` and `nvidia-smi`. I hope you'll agree that `gom` produces more clear and helpful output (ex. it breaks usage down across the 4 running Docker containers), while `nvidia-smi` is long and complex (I couldn't even screenshot the whole thing).

![gom show image](https://github.com/nebrelbug/gom/assets/25597854/367004c2-8729-491d-bff4-783a145fa7bb)

![nvidia-smi image](https://github.com/nebrelbug/gom/assets/25597854/80380be6-b7d2-43c0-b10c-07267b85613e)

## Troubleshooting

You may need to install a different version of `pynvml` depending on your CUDA version.