Metadata-Version: 2.1
Name: gom
Version: 0.3.0
Summary: Live GPU utilization monitor, inspired by nvidia-smi. Shows per-container GPU usage as well as total GPU usage.
Author: Ben Gubler
Author-email: nebrelbug@gmail.com
Requires-Python: >=3.8,<4.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: click (>=8.0.0,<9.0.0)
Requires-Dist: pynvml (>=11.0.0,<12.0.0)
Requires-Dist: tabulate (>=0.9.0,<0.10.0)
Description-Content-Type: text/markdown

# gom

`gom` 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.

## Troubleshooting

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