

🚀 Supercharge your edge AI with power, speed, and seamless integration!
The SOM Edge TPU ML Compute Accelerator by Google Coral is a compact, energy-efficient module delivering 4 TOPS inferencing power at 2 TOPS per watt. Compatible with Debian and Windows 10 on x86-64 and ARMv8 architectures, it integrates via a standard half-mini PCIe slot. Designed for rapid deployment of TensorFlow Lite and AutoML Vision Edge models, it transforms legacy and new systems into AI-powered workhorses.
| ASIN | B0844WRL58 |
| Best Sellers Rank | #112,210 in Computers ( See Top 100 in Computers ) #78 in Barebone PCs |
| Item model number | G650-04528-01 |
| Manufacturer | Google Coral |
| Product Dimensions | 5.08 x 5.08 x 2.54 cm; 9 g |
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.
N**T
Working well for person detection / recognition.
H**G
Works, not very reliable. You will have issues with drivers.
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
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