Uploaded January 2026 | Updated September 2026, 2 weeks ago
Can you really run a Large Language Model (LLM) on a Raspberry Pi? In this video, I’m pushing the limits of this tiny SBC to see if local AI is actually practical and if we could setup Ollama Raspberry Pi. I’m sharing my full hands-on experience—the crashes, the overheating, and the fixes that finally made it work.
I’ll walk you through the complete installation of Ollama and Open WebUI using Docker, and why I chose TinyLlama as the go-to model for the Pi 4 and Pi 5. We’ll also tackle the 3 biggest roadblocks I faced:
Storage limits (Don't make my 16GB mistake!)
Memory crashes (Fixing "Signal: Killed" with Swap)
Thermal throttling (Why cooling is mandatory)
This video provides step-by-step instructions to run an artificial intelligence model directly on a Raspberry Pi. We'll cover setting up the necessary OS and configuring the system to execute commands for models like 'tinyllama' using Ollama, which enables local AI. This guide will help you get a local LLM up and running, showcasing how to use Open WebUI for a complete setup.
[Resources & Links]
🔗 RootSaid Guide: Troubleshooting AI in Raspberry Pi: rootsaid.com/run-ai-on-raspberry-pi-locally
🔗 Official Pi Guide I started with: projects.raspberrypi.org/en/projects/llm-rpi/2
#RaspberryPi #LocalAI #Ollama #DIYTech
Can you really run a Large Language Model (LLM) on a Raspberry Pi? In this video, I’m pushing the limits of this tiny SBC to see if local AI is actually practical and if we could setup Ollama Raspberry Pi. I’m sharing my full hands-on experience—the crashes, the overheating, and the fixes that finally made it work.
I’ll walk you through the complete installation of Ollama and Open WebUI using Docker, and why I chose TinyLlama as the go-to model for the Pi 4 and Pi 5. We’ll also tackle the 3 biggest roadblocks I faced:
Storage limits (Don't make my 16GB mistake!)
Memory crashes (Fixing "Signal: Killed" with Swap)
Thermal throttling (Why cooling is mandatory)
This video provides step-by-step instructions to run an artificial intelligence model directly on a Raspberry Pi. We'll cover setting up the necessary OS and configuring the system to execute commands for models like 'tinyllama' using Ollama, which enables local AI. This guide will help you get a local LLM up and running, showcasing how to use Open WebUI for a complete setup.
[Resources & Links]
🔗 RootSaid Guide: Troubleshooting AI in Raspberry Pi: rootsaid.com/run-ai-on-raspberry-pi-locally
🔗 Official Pi Guide I started with: projects.raspberrypi.org/en/projects/llm-rpi/2
#RaspberryPi #LocalAI #Ollama #DIYTech
