




🚀 Edge TPU Powerhouse: Accelerate your AI at the speed of now!
The SOM Edge TPU ML Compute Accelerator is a compact, high-performance module integrating Google's Edge TPU, delivering up to 4 TOPS peak ML inference power. Designed for easy M.2 A+E key interface integration, it supports Linux and Windows OS, operates efficiently at 2 TOPS per watt, and withstands industrial temperature ranges from -20°C to +85°C, making it ideal for embedding AI acceleration into legacy and new systems alike.
| ASIN | B0844RJNR2 |
| Best Sellers Rank | 160,772 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 3,827 in Single-Board Computers & Accessories |
| Guaranteed software updates until | unknown |
| Item model number | G650-04527-01 |
| Manufacturer | Google Coral |
| Product Dimensions | 5.08 x 5.08 x 2.54 cm; 3.1 g |
S**K
Used for a Frigate project. Seemed to plug in with no issues.
T**Y
Installed this in place of a Wifi adapter in a N100 based NAS from china. need to use an old linux Ubuntu 22.04 works as Google refuses to update the drivers for this. Followed the documentation on googles coral.ai website to install the drivers, then followed Frigate's integration steps and it works first time. Went from 280% processor load to 20% for 8 1080p cameras.
R**O
Used this for a Coral AI project and it’s still doing great!
M**R
Hello, How do I get support for this device? I'm using it on latest Proxmox linux with a Hilitland PCI E to M.2 Expansion Card. Unable to discover Coral with: lspci -nn | grep 089a nothing found: ls /dev/apex* Thanks
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