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🚀 Power your edge AI with Google Coral’s lightning-fast TPU accelerator
The SOM Google Edge TPU ML Compute Accelerator is a compact, energy-efficient module delivering 4 TOPS of machine learning inferencing power via a standard half-mini PCIe interface. Compatible with Debian-based Linux and Windows 10 systems, it supports TensorFlow Lite and AutoML Vision Edge for rapid deployment of custom AI models, making it ideal for professionals upgrading legacy systems or building cutting-edge edge AI solutions.
| ASIN | B0844WRL58 |
| Best Sellers Rank | #990,758 in Electronics ( See Top 100 in Electronics ) #19,434 in Components |
| Box Contents | SOM Google Edge TPU ML Compute Accelerator board |
| Brand | Google Coral |
| Brand Name | Google Coral |
| CPU Speed | 4 GHz |
| Compatible Devices | Debian-based Linux systems |
| Connectivity Technology | Half-size Mini PCIe |
| Customer Reviews | 4.4 out of 5 stars 19 Reviews |
| Included Components | SOM Google Edge TPU ML Compute Accelerator board |
| Item Dimensions L x W x H | 27W Millimeters |
| Manufacturer | Google Coral |
| Memory Storage Capacity | 8 GB |
| Model Name | Coral SOM |
| Network Connectivity Technology | Half-size Mini PCIe |
| Operating System | Debian-based Linux |
| Processor Brand | ARM |
| Processor Count | 1 |
| Processor Speed | 4 GHz |
| RAM Memory Technology | DDR4 |
| UPC | 608614202775 |
| Wireless Compability | Bluetooth |
B**.
Works on my Intel NUC
G**D
Doesn't work with most adaptors or computers.
N**T
Works with frigate
H**G
Works, not very reliable. You will have issues with drivers.
D**N
remember to get mini-PCI to PCI adapter
Trustpilot
3 days ago
1 month ago