🚀 Accelerate your AI edge with Coral’s powerhouse M.2 module!
The Coral M.2 Accelerator A+E Key integrates Google’s Edge TPU to deliver up to 4 TOPS of machine learning inference performance with exceptional power efficiency (2 TOPS/W). Designed for easy installation via the M.2 A+E key interface, it supports major OS platforms including Linux and Windows 10. Its industrial-grade temperature tolerance (-20°C to +85°C) ensures reliable operation in demanding environments, making it the go-to solution for professionals seeking cutting-edge embedded AI acceleration.
| Asin | B0844RJNR2 |
| Best Sellers Rank | 191,996 in Computers & Accessories (See Top 100 in Computers & Accessories) 4,641 in Single-Board Computers & Accessories |
| Box Contents | M.2 module |
| Brand Name | Google Coral |
| Compatible Devices | Laptops and desktops with M.2 (A+E key) slot |
| Cpu Model | Google Tensor |
| Customer Reviews | 4.1 4.1 out of 5 stars (29) 4.1 out of 5 stars |
| Item Weight | 3.1 Grams |
| Manufacturer | Google Coral |
| Manufacturer Part Number | G650-04527-01 |
| Model Name | Google Coral System-On-Modules |
| Model Number | G650-04527-01 |
| Network Connectivity Technology | PCIe |
| Number Of Items | 1 |
| Operating System | Debian |
| Processor Brand | |
| Processor Count | 1 |
| Ram Memory Technology | LPDDR4 |
| Upc | 608614202768 |
| Wireless Compability | Bluetooth |
User
ليسه لها دعم
لا يتوفر لها تحديثات من قوقل ولان تستطيع الاستفاده منها في مشاريعك ان عروضها عليك ببلاش لا تاخذها من النهايه ضايع وقت واموا على الفاضي منتج مهمل من قبل صانعها حتى لو عمل معك سيتوقف باسرع وقت عند تحديث كرينل في مشروعك يجب استخدم كل شي قديم حتى يعمل معك ويرتفع حرارته بشكل جنوني
User
Home Assistant / Frigate capable.
Used for a Frigate project. Seemed to plug in with no issues.
User
Works fantastic in Ubuntu 22 and with Frigate NVR
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.
User
How to contact support
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 089anothing found: ls /dev/apex*Thanks
User
Working perfectly
Used this for a Coral AI project and it’s still doing great!
Trustpilot
3 days ago
1 week ago