Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers

4.2 / 5

Product ID:

385714

Identifier:

B07R53D12W

Brand:

Google Coral

Model:

Coral-USB-Accelerator

Shipping Weight:

0.2 lbs

Manufacturer:

Google Coral

Shipping Dimension:

5.39 x 4.02 x 1.34 inches

Share on Social Media

Share on Facebook

Share on X

Share on Instagram

Share on Tiktok

SAVE 9%

₱8,929

₱8,198

+ ₱ 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 2026-05-28 to 2026-06-04.

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.

See more details
7 Day Return Policy

See more details
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

Specifications: Arm 32-bit Cortex-M0+ microprocessor (MCU): up to 32 MHz max 16 KB flash memory with ECC 2 KB RAM connections: USB 3.1 (Gen 1) port and cable (SuperSpeed, 5Gb/s transfer speed)

Features: Google Edge TPU ML acceleration coprocessor, USB 3.0 Type-C female, supports Debian Linux to host CPU, models are built with TensorFlow Supports MobileNet and Inception architectures through custom architectures are possible. Compatible with Google Cloud

Specifications: Arm 32-bit Cortex-M0+ Microprocessor (MCU): Up to 32 MHz max 16 KB Flash memory with ECC 2 KB RAM Connections: USB 3.1 (gen 1) port and cable (SuperSpeed, 5Gb/s transfer speed)

Features: Google Edge TPU ML accelerator coprocessor, USB 3.0 Type-C socket, Supports Debian Linux on host CPU, Models are built using TensorFlow. Fully supports MobileNet and Inception architectures through custom architectures are possible. Compatible with Google Cloud.

Features: Google Edge TPU ML accelerator coprocessor, USB 3.0 Type-C socket, Supports Debian Linux on host CPU, Models are built using TensorFlow. Full supports MobileNet and Inception architectures through custom architectures are possible. Compatible with Google Cloud.

DESCRIPTIONS

Coral USB Accelerator brings powerful ML (machine learning) inferencing capabilities to existing Linux systems. Featuring the Edge TPU, a small ASIC designed and built by Google, the USB Accelerator provides high performance ML inferencing with a low power cost over a USB 3.0 interface. For example, it can execute state-of-the-art mobile vision models, such as MobileNet v2 at 100+ fps, in a power-efficient manner. This allows fast ML inferencing to embedded AI devices in a power-efficient and privacy-preserving way. Models are developed in TensorFlow Lite and then compiled to run on the USB Accelerator. Edge TPU key benefits: High speed TensorFlow Lite inferencing Low power Small footprint Features Google Edge TPU ML accelerator coprocessor USB 3.0 Type-C socket Supports Debian Linux on host CPU Models are built using TensorFlow. Fully supports MobileNet and Inception architectures though custom architectures are possible Compatible with Google Cloud Specifications Arm 32-bit Cortex-M0+ Microprocessor (MCU): Up to 32 MHz max 16 KB Flash memory with ECC 2 KB RAM Connections: USB 3.1 (gen 1) port and cable (SuperSpeed, 5Gb/s transfer speed) Included cable is USB Type-C to Type-A Coral, a division of Google, helps build intelligent ideas with a platform for local AI.