Use Rack Mate T1 Build My Own RPi Cluster and RPi5 AI Agent.

by yoyojacky in Workshop > Home Improvement

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Use Rack Mate T1 Build My Own RPi Cluster and RPi5 AI Agent.

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DeskPi Rack Mate T1

DeskPi Rack Mate T1 is Aluminum Alloy and Acrylic Frame Mini Chassis which you can setup your own cluster or home assistant server farm into the Mini Chassis. 

This chassis is made of high-strength aluminum alloy and transparent acrylic materials, providing a stable and durable structure. It can be used to support and protect various small-sized devices or mechanical components. The chassis features a frame structure composed of multiple aluminum alloy beams and columns. The acrylic side panels and cover parts offer transparency and an aesthetically pleasing appearance.

Supplies

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you may need some screw drivers and Raspberry Pi, jetson nano development boards

here is my list:

  • 4 x Raspberry Pi 4B
  • 2 x Raspberry Pi 5
  • 1 x Jetson nano
  • 1 x 12 port switch
  • 1 x DeskPi pro
  • 1 x Super6c with (6 Raspberry Pi CM4 module)
  • 6 x M.2 NVMe SSD (256GB)
  • 1 x M2.5 screw driver
  • 1 x Hexgon wranch
  • 1 x 12 inch Fan
  • 1 x Rack Mate T1 mini chassis
  • 1 x Mini tower kit

Purchse URL:

Assemble Mini Chassis

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It is very esay to assemble it, only one part you need to pay attension. the expansion board need to be insert into Raspberry Pi 4's HDMI ports and USB-C port, please insert it gentelly, and the copper pillar's size you may need to pay attention, it is different on expansion board and Raspberry Pi.

Put Everything Into Chassis

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Finally, I have build my own cluster on desktop, and I have alreay configured my raspberry Pi 5 as an AI agent for my cluster by installing ollama framework.

Downloads

Intall Ollama Framework

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open a terminal on my Raspberry Pi 5 and typing following command :

curl -fsSL https://ollama.ai/install.sh | sh
ollama run phi3 --verbose

Downloads

Pull Down the Models

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if you want , you can pull down the models if you like :

for model in llama3 llama2 phi3 mistral qwen qwen2 qwen:4b qwen:7b
do
ollama pull $model
done

and it may take a while and about 40GB disk space at least.


Chat With Ollama

just chat with your AI model in the command line and you can install a webUI for your ollama.