Google Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface

Google Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface

Google Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface

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£71.48
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Google Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface

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Google Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface - Details

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We have found 2 prices for Google Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface. Our price list is completely transparent with the cheapest listed first. Additional delivery costs may apply.

Google Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface - Price Information

  • Cheapest price: £71.48
  • The cheapest price is offered by Amazon-marketplace.co.uk . You can order the product there.
  • The price range for the product Google Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface is €£71.48to €£103.66 with a total of 2 offers.
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Google Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface

Cheapest offer

High-Performance ML Accelerator: Integrates Google Edge TPU, delivering 4 TOPS (int8) peak performance for machine learning inference tasks. Strong Compatibility: Supports M.2 A+E key interface for easy integration into existing systems. Low Power Design: Provides 2 TOPS per watt, ideal for embedded and energy-efficient applications. Wide OS Support: Compatible with Linux (Debian 10/Ubuntu 16.04+) and Windows 10 (64-bit). Industrial-Grade Reliability: Operating temperature range of -20°C to +85°C, suitable for harsh environments.
£71.48
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