





🚀 Double the TPU, double the AI power — accelerate your edge computing game!
The seeed studio Coral M.2 Accelerator with Dual Edge TPU is a compact M.2 module featuring two Google-designed Edge TPU coprocessors. Each TPU delivers 4 TOPS at just 2 watts, enabling ultra-fast, power-efficient ML inferencing. Compatible with Debian Linux and Windows 10, it supports TensorFlow Lite and AutoML Vision Edge for easy deployment of custom AI models. Ideal for professionals seeking high-speed, on-device AI acceleration with minimal latency and enhanced data privacy.










| ASIN | B0CY231Q61 |
| Best Sellers Rank | 59,407 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 4,362 in Single-Board Computers & Accessories |
| Box Contents | M.2 module, heatsink, manual |
| Brand | seeed studio |
| Brand Name | seeed studio |
| CPU Model | MediaTek MT8125 |
| CPU model | MediaTek MT8125 |
| Compatible Devices | Devices with a compatible card module slot and support for Debian Linux or Windows 10 |
| Connectivity technology | PCIe Gen2 x1 |
| Customer Reviews | 3.9 out of 5 stars 258 Reviews |
| Included components | M.2 module, heatsink, manual |
| Manufacturer | seeed studio |
| Model Name | Acceleratore Coral M.2 con TPU Dual Edge |
| Model name | Acceleratore Coral M.2 con TPU Dual Edge |
| Network Connectivity Technology | PCIe Gen2 x1 |
| Operating System | Debian Linux o Windows 10 |
| Operating system | Debian Linux o Windows 10 |
| Processor Brand | ARM |
| Processor Count | 2 |
| RAM Memory Technology | DDR4 |
| Total USB Ports | 1 |
| Wireless Compability | Bluetooth |
M**L
Perfect for frigate
Hard to get one now, works perfectly with proxmox inside lxc running frigate.
J**G
Bit of a faff
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
Hace 1 mes
Hace 4 días