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🚀 Supercharge your legacy systems with cutting-edge AI power!
The SOM Google Edge TPU ML Compute Accelerator is a compact, energy-efficient module that integrates via Mini PCIe into Debian-based Linux systems, delivering ultra-fast machine learning inferencing at 4 TOPS with exceptional power efficiency. It supports TensorFlow Lite and AutoML Vision Edge, enabling seamless deployment of custom AI models on edge devices.
| ASIN | B0844WRL58 |
| Best Sellers Rank | #120,777 in Computers ( See Top 100 in Computers ) #79 in Barebone PCs |
| Brand | Google Coral |
| Built-In Media | SOM Google Edge TPU ML Compute Accelerator board |
| CPU Model | ARMv7 |
| Compatible Devices | Debian-based Linux systems |
| Connectivity Technology | Mini PCIe |
| Customer Reviews | 4.4 4.4 out of 5 stars (21) |
| Item Dimensions L x W x H | 27W millimeters |
| Manufacturer | Google Coral |
| Memory Storage Capacity | 8 GB |
| Mfr Part Number | G650-04528-01 |
| Model Name | SOM Google Edge TPU ML Compute Accelerator |
| Model Number | G650-04528-01 |
| Operating System | Linux |
| Processor Brand | ARM |
| Processor Count | 1 |
| RAM Memory Technology | DDR4 |
| UPC | 608614202775 |
| Wireless Compability | Bluetooth |
B**.
This works great on an old Intel NUC that I use to run Frigate NVR.
G**D
I eventually got it working but it cost me a small fortune buying several expensive ($80+) adaptors and in the end only one PCIe adaptor would work in a Lenovo machine I have. Nothing would work in any of the Dell computers I have. The drivers don't work with new Linux distributions. I expected so much better from Google. Google isn't what they used to be, only in it for the money now. Sad.
H**G
Works, not very reliable. You will have issues with drivers.
N**T
Working well for person detection / recognition.
D**N
This is a mini-PCIe card. Most hosts have regular PCIe slots, so you will need an adapter like this one works: https://www.amazon.com/dp/B0CDLWC3G6?psc=1&ref=ppx_yo2ov_dt_b_product_details
Trustpilot
3 days ago
1 month ago