Coral USB Accelerator
SHOP FOR
https://www.tenettech.com
# 2514/U, 7th 'A' Main Road, Opp. to BBMP Swimming Pool, Hampinagar, Vijayanagar 2nd Stage. 560104 Bangalore IN
Tenettech E-Store
# 2514/U, 7th 'A' Main Road, Opp. to BBMP Swimming Pool, Hampinagar, Vijayanagar 2nd Stage. Bangalore, IN
+918023404924 https://cdn1.storehippo.com/s/59c9e4669bd3e7c70c5f5e6c/ms.settings/5256837ccc4abf1d39000001/webp/59dafe26aef6e1d20402c4c3-480x480.png" info@tenettech.com
5e0ad499f62c894e53e00ace Coral USB Accelerator https://cdn1.storehippo.com/s/59c9e4669bd3e7c70c5f5e6c/ms.products/5e0ad499f62c894e53e00ace/images/5e22b5563cb3d24fa46d6d40/5e22b5452e78f94fe6867070/webp/5e22b5452e78f94fe6867070.jpg

Description

The Coral USB Accelerator brings powerful ML 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 you to add fast ML inferencing to your 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

Coral is a division of Google, that helps you build intelligent ideas with our platform for local AI.

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

Edge TPU ML accelerator

ASIC designed by Google that provides high performance ML inferencing for TensorFlow Lite models

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-AU

Local inferencing

Run on-device ML inferencing on the Edge TPU designed by Google.

Works with Debian Linux

Connect to any Linux-based system with an included USB Type-C cable.

Requirements

The Coral USB Accelerator must be connected to a host computer with the following specifications:

Any Linux computer with a USB port

  • Debian 6.0 or higher, or any derivative thereof (such as Ubuntu 10.0+)
  • System architecture of either x86_64 or ARM64 with ARMv8 instruction set

Raspberry Pi is supported

  • Only Raspberry pi <2/3 Model B/B+> 
  • While USB 3.0 provides the fastest performance Raspberry Pi only supports USB 2.0

Supported Operating Systems

  • Debian Linux
Supported Frameworks 
  • TensorFlow Lite

TT-FLK-3645
in stockINR 11977
SEEEDSTUDIO
1 1
XYZ Blog title
ABC Blog title here
Coral USB Accelerator

Description of product

Description

The Coral USB Accelerator brings powerful ML 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 you to add fast ML inferencing to your 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

Coral is a division of Google, that helps you build intelligent ideas with our platform for local AI.

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

Edge TPU ML accelerator

ASIC designed by Google that provides high performance ML inferencing for TensorFlow Lite models

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-AU

Local inferencing

Run on-device ML inferencing on the Edge TPU designed by Google.

Works with Debian Linux

Connect to any Linux-based system with an included USB Type-C cable.

Requirements

The Coral USB Accelerator must be connected to a host computer with the following specifications:

Any Linux computer with a USB port

  • Debian 6.0 or higher, or any derivative thereof (such as Ubuntu 10.0+)
  • System architecture of either x86_64 or ARM64 with ARMv8 instruction set

Raspberry Pi is supported

  • Only Raspberry pi <2/3 Model B/B+> 
  • While USB 3.0 provides the fastest performance Raspberry Pi only supports USB 2.0

Supported Operating Systems

  • Debian Linux
Supported Frameworks 
  • TensorFlow Lite