https://github.com/priyabug/building-ai-powered-applications-with-the-podman-ai-lab
Podman AI Lab is an open-source extension for Podman Desktop that allows you to work with LLMs ( Large Language Models ) in a local environment. From getting started with AI and experimenting with models and prompts to model serving and playgrounds for common generative AI use cases, Podman AI Lab enables you integration AI into your application
https://github.com/priyabug/building-ai-powered-applications-with-the-podman-ai-lab
ai-environments ai-lab-container ai-lab-extension cloud containerized-applications deep-learning jupyter-notebook lightweight machine-learning native-cloud-technologies podman-desktop python3 tensor-flow testing
Last synced: 4 months ago
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Podman AI Lab is an open-source extension for Podman Desktop that allows you to work with LLMs ( Large Language Models ) in a local environment. From getting started with AI and experimenting with models and prompts to model serving and playgrounds for common generative AI use cases, Podman AI Lab enables you integration AI into your application
- Host: GitHub
- URL: https://github.com/priyabug/building-ai-powered-applications-with-the-podman-ai-lab
- Owner: Priyabug
- Created: 2025-03-01T01:19:21.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-03-01T01:27:19.000Z (4 months ago)
- Last Synced: 2025-03-01T02:25:03.969Z (4 months ago)
- Topics: ai-environments, ai-lab-container, ai-lab-extension, cloud, containerized-applications, deep-learning, jupyter-notebook, lightweight, machine-learning, native-cloud-technologies, podman-desktop, python3, tensor-flow, testing
- Language: Python
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Build Your AI Application with AI Lab Extension in Podman Desktop
## Overview
This project demonstrates how to develop AI applications using the **AI Lab extension in Podman Desktop**. It leverages **containerized environments** for seamless AI model development, testing, and deployment.
## Features
✅ Containerized AI development using **Podman Desktop**
✅ Pre-built AI environments for **machine learning & deep learning**
✅ Integration with **AI Lab extension** for streamlined model training
✅ **Efficient deployment** of AI applications in isolated environments
✅ **Lightweight and secure** alternative to traditional virtualization
## Tech Stack
- **Podman Desktop** – Container management
- **AI Lab Extension** – AI model development
- **Python** – Programming language for AI models
- **TensorFlow / PyTorch** – Deep learning frameworks
- **Jupyter Notebook** – Interactive coding environment
## Installation & Setup
### 1. Install Podman Desktop
Download and install **Podman Desktop** from the [official website](https://podman.io/).
### 2. Enable AI Lab Extension
- Open **Podman Desktop**
- Navigate to **Extensions** and install **AI Lab**
### 3. Clone this Repository
### 4. Run AI Lab Container
### 5. Access AI Lab
## Prerequisites
- ✨ **Basic understanding** of Python programming language
- ✨ **Familiarity with containerization concepts**
- ✨ **Awareness of cloud-native technologies**
- 📥 **Download and install** the latest version of **Podman Desktop** on your laptop
- [**Download Podman Desktop here**](https://podman.io/), if not already installed
- 🚀 **Start Podman Machine** once **Podman Desktop** is installed