Coral M.2 Accelerator with Dual Edge TPU - ML accelerator module
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  • Coral M.2 Accelerator with Dual Edge TPU - ML accelerator module
  • Coral M.2 Accelerator with Dual Edge TPU - ML accelerator module
  • Coral M.2 Accelerator with Dual Edge TPU - ML accelerator module
ID: 584452
zł273.70
Tax included

zł222.52 tax excl.

ML accelerator module that allows the use of the Edge TPU coprocessor in existing systems. It will be used in projects using machine learning and artificial intelligence. Coral M.2 Accelerator with Dual Edge TPU

24h
Available
Available quantity: 17
 

Free shipping

free shipping in Poland for all orders over 500 PLN

 

Same day shipping

If your payment will be credited to our account by 11:00

 

14 days for return

Each consumer can return the purchased goods within 14 days

Description

Coral M.2 Accelerator with Dual Edge TPU is an ML accelerator module that allows the Edge TPU coprocessor to be used in existing systems. Edge TPU is a small ASIC designed by Google that provides high-performance ML (Machine Learning) inference with low power requirement. Built-in two Edge TPU coprocessors, each capable of 4 trillion operations per second (TOPS), consuming 0.5 watts per TOPS (2 TOPS per watt). It can realize the most modern mobile vision models such as MobileNet v2, at almost 400 fps, with low power consumption.

The M.2 Accelerator with Dual Edge TPU is a card designed to fit into any standard Mini PCIe slot. It allows easy integration with ARM and x86 platforms, so you can add ML accelerator to products such as embedded platforms or mini computers. Works with computers running Debian Linux and Windows 10. The kit supports TensorFlow Lite models, so the user does not have to build ML models from scratch, and AutoML Vision Edge, which allows you to create accurate classification models of non-standard images. For the kit, the manufacturer provides full documentation with a quick start guide and numerous examples.

Features

  • 2 x Google Edge TPU ML accelerator
    • 8 TOPS total peak performance (int8)
    • 2 TOPS per watt
  • Integrated energy management
  • 2 x PCIe Gen2 x1 interface (one per Edge TPU)
  • M.2-2230-D3-E module
  • Dimensions: 22 x 30 x 2.8 mm
  • Working temperature: -40 to 85°C
584452

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