Run Your Own AI Assistant: Deploying Open WebUI on Raspberry Pi 5 with Balena
Imagine having a powerful AI assistant readily available on your Raspberry Pi 5, answering your questions, generating creative text formats, and assisting with various tasks. This is now possible Open WebUI. Open WebUI is an extensible, feature-rich, and user-friendly self-hosted WebUI designed to operate entirely offline. It supports various LLM runners, including Ollama and OpenAI-compatible APIs. And deploying it is surprisingly easy thanks to Balena Cloud.
This article guides you through deploying Ollama’s WebUI on your Raspberry Pi 5 with a single click, turning it into a local Large Language Model (LLM) playground.
Prerequisite
- Raspberry Pi 5 8Gb (buy from seeed or your preferred vendor)
- High quality 32Gb micro SD card
- BalenaCloud account
- balenaEtcher
Deploy
Head over to the Github repo and click on “Deploy with balena” button and follow the on-screen instruction.
Benefits of Running LLMs on Raspberry Pi:
- Privacy: Keep your data and interactions local, away from cloud servers.
- Customization: Experiment with different LLM models suited for your needs.
- Offline Access: Use your AI assistant even without an internet connection.
- Cost-Effective: Utilize the processing power of your Raspberry Pi for a low-cost solution.