GPU Hoarder

Description

GPU Hoarder is a Python project designed to monitor the availability of GPUs across multiple cloud platforms. It notifies users when a GPU becomes available, helping to streamline the process of acquiring computing resources.

Installation

Prerequisites

• Python 3.x
• pip

Steps

1. Clone the repository:

   git clone git@github.com:stackadoc/gpu-hoarder.git

2. Navigate to the project directory:

   cd gpu-hoarder

3. Install the required packages:

   pip install -r requirements.txt

Configuration

Environment Variables

To configure GPU Hoarder, set the following environment variables:

• SCALEWAY_SECRET_KEY: Your Scaleway API secret key.
• SCALEWAY_ENABLED: Set to true to enable monitoring on Scaleway.
• SCALEWAY_ZONES: Comma-separated list of zones to monitor in Scaleway.
• SCALEWAY_INSTANCES_TYPES: Comma-separated list of instance types to monitor in Scaleway.
• SLACK_ENABLED: Set to true to enable Slack notifications.
• SLACK_TOKEN: Your Slack API token.
• SLACK_CHANNEL: The Slack channel where notifications will be sent.
• SLEEP: Time in seconds between checks.
• NOTIFY_NEW_INSTANCES: Set to true to receive notifications for new instances.
• NOTIFY_LOST_INSTANCES: Set to true to receive notifications for lost instances.

Setting up the .env file

Create a .env file in the root directory and populate it with the necessary environment variables:

SCALEWAY_SECRET_KEY=your_scaleway_api_key
SCALEWAY_ENABLED=true
SCALEWAY_ZONES=fr-par-1,fr-par-2
SCALEWAY_INSTANCES_TYPES=GP1-S,GP1-M
SLACK_ENABLED=true
SLACK_TOKEN=your_slack_token
SLACK_CHANNEL=your_slack_channel
SLEEP=300
NOTIFY_NEW_INSTANCES=true
NOTIFY_LOST_INSTANCES=true

Contributions to improve the project are welcome. Please ensure to follow the best practices and coding standards.