https://github.com/jacenkow/gpu-sentry

Flask-based package for monitoring utilisation of nVidia GPUs.
https://github.com/jacenkow/gpu-sentry

flask gpu nvidia-smi

Last synced: 6 days ago
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Flask-based package for monitoring utilisation of nVidia GPUs.

• Host: GitHub
• URL: https://github.com/jacenkow/gpu-sentry
• Owner: jacenkow
• License: mit
• Created: 2019-02-03T18:32:44.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-02-08T11:58:08.000Z (almost 6 years ago)
• Last Synced: 2024-08-02T06:03:39.454Z (4 months ago)
• Topics: flask, gpu, nvidia-smi
• Language: Python
• Homepage:
• Size: 79.1 KB
• Stars: 155
• Watchers: 12
• Forks: 10
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# gpu-sentry

Flask-based package for monitoring utilisation of nVidia GPUs.

![Monitor](img/monitor.png)

## Motivation

Instead of checking each of your machines with `nvidia-smi` command, a client

running on the machines is sending periodically statistics about GPU memory

utilisation. The central server is collecting the requests and displays them on

a single website.

## Installation

Run `pip install -e .` to install all the dependencies and the package itself.

## Configuration

Most of the settings can be found in `config.py`.

`CLIENT_TIMEOUT` allows to set how often a client, i.e. the GPU machine sends

statistics to the central server. You can alter the value with the amount of

seconds you wish to set.

`PERMIT_CLIENTS` has two fold purpose, first the keys are used to filter out

machines which will be displayed on the website, i.e. we permit only machines

with the specified `hostname`s, and the corresponding values point to display

names.

## Running

Currently the package does not work as a background process so please use

`screen`, `tmux` or `wsgi`.

To run the package as client, i.e. on a GPU machine run

```

python cli.py -m client

```

or on the central server execute

```

python cli.py -m server

```