Best Hardware for AI on the Edge @paulmcwhorter
Best Hardware for AI on the Edge  @paulmcwhorter
Uploaded February 2026 | Updated September 2026, 2 weeks ago
Time to Gear Up! I promised a new AI on the Edge Class for all you guys that have been asking for one. The class will drop in March, so the time has arrived to Gear Up for it. This video describes our down select, and it will show the winner, and the hardware you will need. For the class you will need a:
AI Fusion Lab Kit, available here:

amzn.to/4cla6re

[At this time you can order the kit. The kit will ship when the units arrive at Amazon, which should be in the next few weeks. Order now, so you don't miss out on the first batch to hit Amazon]

You will also need a pi 5. Get one with as much memory as you can afford, but most pi 5's should work for the class. This is a link.
amzn.to/40Gek5n

You will also need power supply and cabling and such, but I assume at this point you have those things. You need a power supply designed for the Pi, the HDMI cable and wireless keyboard and mouse. Hopefully most of you already have those.

You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:

patreon.com/PaulMcWhorter

In this video I go through the analysis I used to select this hardware platform. Please go ahead and order your gear so we can all begin our class together in March. The tutorials are free, so you will not want to miss these valuable lessons.

[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com. This means if you visit the link and purchase the item, I will receive an affiliate commission. Regardless, I only recommend products or services I use personally and believe will add value to my readers.]
#AI
#raspberrypi
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*LEGAL DISCLAIMER:*
The code, hardware setups, circuit diagrams, mathematical calculations, and technical methods provided in this video are strictly for educational and demonstration purposes.

All math, code, and instructional content are provided "AS IS", without warranty of any kind, express or implied, including but not limited to guarantees of accuracy, completeness, or fitness for a specific purpose.

All hardware assembly, circuit wiring, and software execution are performed entirely at your own risk. The creator assumes no liability for equipment damage, component failure, data loss, or personal injury resulting from the use or implementation of any information or files presented in this content.
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Best Hardware for AI on the Edge

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