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🚀 Turbocharge your AI edge with dual TPU power!
The Coral M.2 Accelerator with Dual Edge TPU is a compact M.2-2230 module featuring two Google-designed Edge TPU ML accelerators. Each TPU delivers 4 TOPS at 2 watts, combining for a total peak of 8 TOPS with exceptional power efficiency (2 TOPS per watt). Designed for on-device TensorFlow Lite model acceleration, it reduces latency and enhances data privacy by eliminating cloud dependency. Ideal for desktop setups with compatible PCIe Gen2 x1 E-key slots, it enables parallel or pipelined ML workloads in a sleek, energy-efficient package.
| ASIN | B08KTSGN7F |
| Best Sellers Rank | #3,262 in Single Board Computers (Computers & Accessories) |
| Customer Reviews | 4.0 4.0 out of 5 stars (32) |
| Date First Available | January 2, 2020 |
| Item Weight | 0.634 ounces |
| Item model number | G650-06076-01 |
| Manufacturer | Google Coral |
| Product Dimensions | 2 x 2 x 1 inches |
A**Y
Works
This is the one that fits in the pciex1 slot that normally contains your wireless NIC (if you have one installed). Great for a desktop board with the empty slot. Not great for a laptop, which is probably using the slot for wireless nic.
K**Y
Know exactly what this device is for before purchasing
Very limited use case digit my HA setup. This can only do simple object/person/vehicle identification. Not a replacement for true AI task. FYI. It does its job well and better then a cpu can.
L**I
2nd time was the charm
The first TPU that was sent was defective. I tried for about 3 hours, could not get it to function. Requested a replacement from Amazon. Received a replacement, and all is working. Sent the original unit back.
A**D
This device will not work with off the shelf consumer hardware.
This device is being sold on the consumer market despite consumer hardware typically not being able to support it. To make full use of this board you need industrial hardware. Don't buy this and think it will work in any off the shelf computers without buying a third-party adapter board. At most you will only get a single TPU working. At this point I can't even recommend a TPU when better NPU options are available at this scale.
J**J
Hardware/ drivers working win 10
First tpu I've purchased. After install Win10 device manager could see it( no default microsoft drivers), instructions provided on the Coral site were accurate and made the driver installation easy. Still learning about tensor units and training but the hardware seems good.
C**E
I can't make it work as dual TPU.
I installed the TPU into a OrangePi5+ for using with dockers and frigate. ist has been a couple of weeks, I tested on ubuntu and debian and can't mate OS recognise both TPU. I thinks it is a drivers problem, I can neither confirm nor deny it..
C**E
Most of your M2 E slots are going to have a single PCIE lane so won't leverage both TPUs.
Ordering and I'll update later, but be aware that if your M2 E slot only has 1 PCIe lane, you won't be using both coprocessors. I miss when you could reply to reviews, they were saying it may be a drivers issue but looking up the OrangePi5+ they mentioned, that device looks to be a single PCIE lane on the M2 e-key slot.
C**P
Linux Build for Proof of Concept
Paired this with Ableconn PCIe Adapter Card. Inserted into ASUS Rog Strix B550-f MOBO with AMD 5700G CPU. MOBO Bios and Chip Set and drivers at latest version. Connected one SATA drive where the OS and GRUB landed and one bootable USB flash drive with the ISO file. This would not work with Debian 12 because of Python 3.11 so I found ISO of Debian 11 with Python 3.9, added CURL and GIT-All, and added some USERID's to Groups, waited for the stars to align, and everything worked. I was going to try to make this work with Windows 11 but I think it would be easier to part the Red Sea.
Trustpilot
2 months ago
3 weeks ago