PapiHack/gai-demo
Demo project of my talk for Galsen AI Dakar community on How to Deploy & Scale AI (ML or DL) Models With Kubernetes
This project helps developers and MLOps engineers deploy and scale AI models using Kubernetes. It takes an existing machine learning model, wraps it in a Flask REST API, and provides a framework to containerize and orchestrate it. The output is a highly available and scalable AI service accessible via an API endpoint, allowing seamless integration into larger systems.
No commits in the last 6 months.
Use this if you are a developer or MLOps engineer looking for a demonstration of how to deploy and manage AI models using Docker and Kubernetes.
Not ideal if you are a data scientist or business user looking for an out-of-the-box solution to run predictions without involving model deployment infrastructure.
Stars
10
Forks
3
Language
Python
License
MIT
Category
Last pushed
Jul 15, 2023
Commits (30d)
0
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