Galleon 2026Download our mobile shopping application for faster and easy transaction.

Download on the App Store
Get it on Google Play
Welcome back!

Login your account for faster transaction.

Email
Password
Don't have an account?
or
Email
Sign up!

Create account for faster transaction.

Full Name
Email
Mobile
Password
Confirm Password

Google Coral USB Accelerator: ML Accelerator, USB 3.0 Type-C, Debian Linux Compatible

4.5 / 5

Product ID:

287703

Identifier:

B07S214S5Y

Brand:

Google

Model:

G950-06809-01

Shipping Weight:

0.22 lbs

Manufacturer:

Google LLC

Shipping Dimension:

5.39 x 4.06 x 1.26 inches

Share on Social Media

₱10,665

+ ₱ 150

International Shipping

Shipping Cost from USA to Philippines inclusive of custom fees.

Cost too high? Check weight and dimension on product details and click "I think this is wrong?" link.

Get it between 2026-06-04 to 2026-06-11.

Additional 3 business days for provincial shipping.

- Price and Stocks may change without prior notice

- Packaging of actual item may differ from photo shown

  • Electrical items MAY be 110 volts.
  • 7 Day Return Policy
  • Cash On Delivery/Cash Upon Pickup Available

    Cash upon Pick-up - orders grand total must not exceed ₱5,000.00. Order will be pickup at Galleon's Office.

    Cash on Delivery - orders grand total must not exceed of ₱10,000.00 and must not exceed ₱5,000.00 for provincial areas. See all payment methods

FEATURES

»

A USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems

»

Performs high-speed ML inferencing: the on-board edge TPU Coprocessor is capable of performing 4 trillion operations (tera-operations) per second (tops), using 0.5 watts for each tops (2 tops per watt). For example, it can execute state-of-the-art mobile vision models such as mobilenet V2 AT 400 FPS, in a power efficient manner

»

Works with Debian Linux: connects to any debian-based Linux system with an included USB 3.0 Type-C cable

»

Supports tensorflow Lite: no need to build models from the ground up. Tensorflow Lite models can be compiled to run on the edge TPE

»

Supports automl vision edge: easily build and deploy fast, high-accuracy custom image classification models to your device with automl vision edge

»

Ml Accelerator: Google edge TPU Coprocessor

»

Connector: USB 3.0 Type-C (data/power)

»

Dimensions: 65 millimeter x 30 millimeter

DESCRIPTIONS

A USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems.

RELATED PRODUCTS

Confirm your age

You must be at least 18 years old to view this content. Please confirm your age.

Chat Support

Buy products not available in the Philippines.