Electronics > Computers & Accessories > Computer Components > Single Board Computers
Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers

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

Product ID: 108538656 Condition: New
Payflex: Pay in 4 interest-free payments of R1,470.75. Learn more
R 5,883
includes Duties & VAT
Delivery: 10-20 working days
Ships from USA warehouse.
Secure Transaction
VISA Mastercard payflex ozow

Product Description

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

  • 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.
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.

Technical Specifications

Country
USA
Brand
Google Coral
Manufacturer
Google Coral
Binding
Personal Computers
ItemPartNumber
Coral-USB-Accelerator
Model
Coral-USB-Accelerator
UPCs
608614201389
EANs
0608614201389

You might also like

Google Coral Dev Board

NVIDIA Jetson Nano Developer Kit

Intel Neural Compute Stick 2

Raspberry Pi Camera Module V2-8 Megapixel,1080p

CanaKit Raspberry Pi 4 4GB Starter Kit - 4GB RAM

Google Coral Camera

Google G950-01456-01 Coral USB Accelerator

CanaKit Raspberry Pi 4 4GB Basic Kit (4GB RAM)

Touchscreen Monitor, 7 Inch Portable USB Monitor Raspberry Pi Touch Screen IPS Display Computer Monitor 1024X600 16:9 HDMI Game Monitor for Pi 4/3 /2/ Zero/B Raspbian Ubuntu Xbox /PS4 Mac

GANA Micro HDMI to HDMI Adapter Cable, Micro HDMI to HDMI Cable (Male to Female) for Gopro Hero and Other Action Camera/Cam with 4K/3D Supported