






🚀 Double the TPU, double the speed—accelerate your AI edge game now!
The Coral M.2 Accelerator with Dual Edge TPU is a compact M.2 module featuring two Google-designed Edge TPU coprocessors, delivering a combined 8 TOPS of power-efficient machine learning inferencing at just 4 watts total. Compatible with Debian Linux and Windows 10, it supports TensorFlow Lite and AutoML Vision Edge models, enabling ultra-fast, low-latency on-device AI processing that enhances privacy and removes cloud reliance.


| ASIN | B0CY231Q61 |
| Batteries Required | No |
| Best Sellers Rank | #609,842 in Electronics ( See Top 100 in Electronics ) #12,505 in Components |
| Brand | seeed studio |
| Compatible Devices | Devices with a compatible card module slot and support for Debian Linux or Windows 10 |
| Connector Type | Bluetooth |
| Customer Reviews | 4.0 4.0 out of 5 stars (62) |
| Date First Available | 22 April 2024 |
| Item Weight | 50 g |
| Item model number | Coral M.2 |
| Manufacturer | seeed studio |
| Model | Coral M.2 |
| Model Name | Coral M.2 Accelerator with Dual Edge TPU |
| Mounting Hardware | Edge TPU ML accelerators |
| Operating System | Debian, Linux |
| Package Dimensions | 13.28 x 6.5 x 0.05 cm; 50 g |
| Processor Brand | Intel |
| Processor Count | 2 |
| Ram Memory Technology | DDR4 |
| Total USB ports | 1 |
| Wireless Type | Bluetooth |
T**I
not working at all
E**A
Viene sin caja, metido en una bolsa de plástico de burbujas, y esta a su vez en otra. Un producto muy pequeño, delicado y sin caja del fabricante. Parece de segunda mano o de baja calidad. Aún no la he instalado. Espero funcione. Muy mala presentación para ser tan cara.
W**T
I use this with the free/open source Frigate NVR software that is connected to my Home Assistant. I have an HP EliteDesk 705 that I took out the wifi/bluetooth card because I use a hardwired LAN connection and put this Coral in instead. Sadly it only detects one of the TPUs, but that's not the Coral's fault, it's a limitation on my computer.
S**O
This Coral M.2 Accelerator works flawlessly. I added it to my server specifically for AI object detection with Frigate, and the performance jump is incredible. The dual Edge TPU handles real-time detection smoothly, runs cool, and stays completely stable. Setup was quick, and it integrated with my system without any issues. If you’re using Frigate or need solid hardware acceleration for machine learning tasks, this is absolutely worth it.
J**G
Shoved this in my qnap to speed up the QuMagie AI. Works great shows up as 2 TPU's but had to buy a special multiplexing adapter to an m.2 slot and then also get a m.2 to pci slot card. But that's as much to do with the qnap as the card itself.
Trustpilot
3 days ago
3 weeks ago