Coral M.2 Accelerator with Dual Edge TPU …

Compare price from $39.99 ~ $101.99

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SeeEdStudio Google Coral M.2 Accelerator	$39.99	Delivery date & cost shown at checkout

OKdo Google Coral M2 Accelerator	$43.95	$19.99 delivery Nov 27 – Dec 228-day returns Free $1,000.01+

Amazon Coral M.2 Accelerator with Dual Edge TPU …	$49.99	FREE delivery Monday, November 11. Order within 16 hrs 38 mins

Amazon Google Coral M2 Accelerator	$61.97	Free delivery

eBay Google Coral M.2 Accelerator with Dual Edge TPU M.2-2230	$59.99	Delivery date & cost shown at checkout

eBay Google Coral M.2 Accelerator with Dual Edge TPU	$63.90	Delivery date & cost shown at checkout

eBay Google Coral G650-06076-01 M.2 E-key Accelerator with Dual Edge TPU Free Ship	$64.50	Delivery date & cost shown at checkout

eBay Google Coral M2 Accelerator	$69.99	$5 delivery by Dec 4Not eligible for returns

Sears Google Coral M2 Accelerator	$79.68	Free delivery

Newegg Google Coral M2 Accelerator	$89.99	30-day returns

Newegg Google Coral M2 Accelerator	$101.99	30-day returns

39.99
SeeEdStudio
Google Coral M.2 Accelerator
Delivery date & cost shown at checkout
43.95
OKdo
Google Coral M2 Accelerator
$19.99 delivery Nov 27 – Dec 228-day returns Free $1,000.01+
49.99
Amazon
Coral M.2 Accelerator with Dual Edge TPU …
FREE delivery Monday, November 11. Order within 16 hrs 38 mins
61.97
Amazon
Google Coral M2 Accelerator
Free delivery
59.99
eBay
Google Coral M.2 Accelerator with Dual Edge TPU M.2-2230
Delivery date & cost shown at checkout
63.90
eBay
Google Coral M.2 Accelerator with Dual Edge TPU
Delivery date & cost shown at checkout
64.50
eBay
Google Coral G650-06076-01 M.2 E-key Accelerator with Dual Edge TPU *Free Ship*
Delivery date & cost shown at checkout
69.99
eBay
Google Coral M2 Accelerator
$5 delivery by Dec 4Not eligible for returns
79.68
Sears
Google Coral M2 Accelerator
Free delivery
89.99
Newegg
Google Coral M2 Accelerator
30-day returns
101.99
Newegg
Google Coral M2 Accelerator
30-day returns

Product Details

Performs high-speed ML inferencing: Each Edge TPU coprocessor is capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power. For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power-efficient manner. With the two Edge TPUs in this module, you can double the inferences per second (8 TOPS) in several ways, such as by running two models in parallel or pipelining one model across both Edge TPUs. Works with Debian Linux and Windows: Integrates with Debian-based Linux or Windows 10 systems with a compatible card module slot. Supports TensorFlow Lite: No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU. Supports AutoML Vision Edge: Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge. Description