Dual Edge TPU: Double Power, Same Slot

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Full Tutorial Blog Post 👉 / how-to-setup-the-coral...
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Webcam 👉 amzn.to/49RgZw9
Coral AI Dual Edge TPU 👉 amzn.to/3TwHUaY
Zima Board 👉 amzn.to/3VhFdeK
Dual Edge TPU Adapter Low Profile 👉 www.makerfabs.com/dual-edge-t...
Discover the revolutionary Coral AI Dual Edge Accelerator, a game-changer in the realm of artificial intelligence and machine learning. This compact yet powerful device integrates not one, but two Tensor Processing Units (TPUs) into a single PCIe M.2 chip, offering unmatched efficiency and performance for your AI projects. Designed for enthusiasts and professionals alike, the Coral Dual Edge Accelerator shines with its cost-effectiveness and low power consumption, making it an investment that pays for itself over time.
Unlike traditional USB accelerators or solo PCIe solutions, this cutting-edge device doubles your machine learning capabilities without occupying extra space, thanks to its innovative use within the same M2 slot. Its exceptional performance is why Google incorporates it into their enterprise conferencing products, achieving lightning-fast local AI processing speeds. Surprisingly, this $25 Coral TPU can outperform a $2,000 CPU, making it a favorite among the Home Assistant community for powering Frigate's NVR surveillance. Capable of processing tensorflow lite models at an astonishing rate of 800 frames per second, it's an ideal solution for real-time image analysis for security and monitoring purposes, effectively serving as a more versatile and powerful alternative to commercial products like Amazon Ring.
Expanding your surveillance capabilities is straightforward with more TPUs allowing for additional camera connections. However, setting up this system comes with its challenges, particularly in navigating dual bus PCIe requirements and motherboard compatibility for optimal performance. But worry not, as this guide will walk you through the intricacies of making the most out of the Dual Edge TPU, from selecting the right adapters to configuring your motherboard for bifurcation, ensuring you unlock the full potential of this technology.
In this comprehensive walkthrough, you'll learn about the Coral AI Dual Edge Accelerator's setup, from installing it on compatible motherboards to the final steps of configuring your Frigate NVR surveillance system. Discover how to overcome common setup obstacles, choose the right adapters with proven track records, and streamline your installation with handy tips and resources. Whether you're upgrading your home lab or building a state-of-the-art surveillance system, the Coral AI Dual Edge Accelerator offers an unparalleled opportunity to enhance your AI capabilities with ease and efficiency.

[@marioalejandrox]

Is there an adapter for the Coral Dual TPU to run on the Pi 5? Thanks for your videos, they are great!

[@granatapfel6661]

Yes it's possible search for it in the web, I guess it was a polish manufacturer, which offers different HAT's

[@DataSlayerMedia]

Yes! Pine Boards has a new Dual TPU Hat 👉pineboards.io/products/hat-ai-dual-for-raspberry-pi-5
Tutorial 👉 th-cam.com/video/QmUJOFHr-No/w-d-xo.html

[@mihirmakwana9326]

Love you brother. My GCP load balancer is working using terraform. Your gpc load balancer video was amazing. Thanks a lot

[@iblackfeathers]

what cpu do you have on the zimablade in all your tests? j3455? they switched the cpu to n3450. do all these projects still work out of the box with the slower cpu?

[@Dvalin21]

Hey is the higher level of FPS for the cameras a new feature? Before anytime I would go higher than 10, it would break!

[@_____alyptic]

Wait, did you show both TPU's working over a x1 link!?
I'm hoping i can have it in a USB4 adapter/case 🤞🏽

[@DonMacKenzie1]

Getting error that kernel 6.8.0 is not supported. Driver is not being installed. Is there a workaround for this error?

[@rezcan]

Appreciate the detailed video and blog post but I am having difficulty installing the TPU drivers (ls /dev/apex_* finds nothing) on CasaOS v0.4.9 with kernel version 5.10.0-10-amd64. Have you been able to set this up on this version? lspci -nn | grep 089a shows the correct TPUs, only the driver doesnt get installed

[@GROW_YT_VIEWS_137]

I love the creativity in your videos. Always entertaining!

[@ssstars2.0]

really want to use this concep with a 360 camera to stream car cruises and races!! if i can add the Lora v32, i could also track/communicate the cars during cruises or keep track of my own cars

[@DataSlayerMedia]

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[@amdintelxsniperx]

and now with chromes ai search engine soon being able to make use of the client side ai accelerators instead of just cloud these will get even better

[@giosterr44]

Thanks!🔥🔥🔥

[@AndyTanguay]

Hey, can I ask you what screen app utility you’re using? Super smooth.

[@NunoRibeiro1975]

Screen studio

[@unkillablespirits8582]

link for the power monitor thing or should i run an Ai on a still frame of the vid to find out lol ?

[@DataSlayerMedia]

amzn.to/3PDmkzf

[@galdakaMusic]

How to plug in Rpi?

[@granatapfel6661]

look at the comment above.

[@Base612]

Does this only work with tensorflow?

[@billlodhia5640]

Coral only works with TFLite

[@ahmetttt10]

can u test advanced local LLM models ?

[@HamguyBacon]

it uses tensorflow lite...

[@ronaldwhite8227]

Promo sm ✔️

[@AdrianoKrauthein-yu5gx]

U joking when you measure the power consumption from the power supply?! Sure I don't believe you did that.

[@zxcaaq]

docker is horrible

[@sIXXIsDesigns]

seen enough... you're pushing insane claims on everything and you're not even being realistic about the claims.... complete and utter BS.

[@PablloArruda]

not working, sucks tutorial