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Coral Mini PCIe M.2 Accelerator A/E Key

by Coral
475 kr 380 kr

The Coral M.2 Accelerator from Google includes the Edge TPU coprocessor in systems and products. This module assimilates x86 platforms and ARM. The Coral Mini PCIe M.2 Accelerator can incorporate local Machine Learning (ML) acceleration to the industrial gateway, SBCs, and embedded platforms, etc. This Mini accelerator weighs only 3.1 grams and it is an A/E dual-key M.2 card. 

What is Google Edge TPU? 

The Edge TPU has been created by Google for boosting up the TensorFlow Lite models. This small ASIC is a $TOPS ASIC and uses power very efficiently. Out of the total 2Watts used, each Watt is consumed for 2 Trillion Operations. TPU can be helpful in many applications like the application for execution of mobile vision models e.g., MobileNet v2. The Edge TPU cuts down the complacency and enhances data privacy. It is the on-device ML processing that cuts down the need for a steady internet connection. 

Features of Coral Mini PCIe M.2 Accelerator 

  • Brand: Coral 
  • Features: Dual-Key M.2 Card (A + E) 
  • Compatible with
      • Debian
      • Linux
      • Variants on the HOST processor 
  • High Bandwidth connection 
  • Designed to work with M.2 slot 
  • Google Edge TPU Machine Learning Accelerator Support 

Specifications of Coral Mini PCIe M.2 Accelerator 

  • Dimensions: 3cm x 2.2cm x 0.235cm | 30mm x 22mm x 2.35mm 
  • Weight: 3.1 Grams 
  • Operating Voltage: 3.3V DC Supply (+/- 10%) 
  • Storage Temperature: From -40oC to 85o
  • Operating temp: From -20oC to 70oC
  • Host Hardware Interface: A+E Key M.2-2230-A-E-S3 
  • Host Serial Interface: Gen2 x 1 PCIe  Relative Humidity (Non-Condensing): From 0% to 100% 

Requirements for Coral Mini PCIe M.2 Accelerator 

Following computer specifications show compatibility with Coral Mini PCIe M.2 Accelerator: 

  • Linux Computer 
  • M.2 Module Slot 
  • Debian 6.0 or latest version | A higher alternative like Ubuntu 10.0+ 
  • ARM32/64 or x86-64 system architecture with ARMv8 instructions