Changes between Version 18 and Version 19 of TPU


Ignore:
Timestamp:
06/26/2020 04:04:03 PM (4 years ago)
Author:
Ron Eisworth
Comment:

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  • TPU

    v18 v19  
    33[[Image(AI.jpg, width=500)]]
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    5 This demo features a Gateworks Newport GW6903 SBC running the Google Coral Edge TPU Mini-PCIe card. The Coral TPU provides a means to perform advanced ML tasks in a low power, small form factor, Mini-PCIe card. The TPU Accelerator is based on a custom "Application Specific Integrated Circuit" (ASIC) that Google designed for hardware accelerated AI calculations. The TPU is capable of performing 4 trillion operation per second (TOPS) and runs at approximately 2 Watts.
     5This demo features a Gateworks Newport GW6903 SBC running the Google Coral Edge TPU Mini-PCIe card.
     6
     7The Coral TPU provides a means to perform advanced ML tasks in a low power, small form factor, Mini-PCIe card. The TPU Accelerator is based on a custom "Application Specific Integrated Circuit" (ASIC) that Google designed for hardware accelerated AI calculations. The TPU features the following:
     8
     9 * Performance: 4 TOPS (Trillion Operations Per Second)
     10 * Power: 2 Watts Typ, 4 Watts Max
     11 * Half-size Mini-PCIe Form Factor (PCIe Gen2 x1)
     12 * Supported Framework:[https://www.tensorflow.org/lite TensorFlow Lite]
     13 * Works with [https://cloud.google.com/vision/automl/docs/edge-quickstart AutoML Vision Edge]
     14 * -20 to +70C Operating Temperature
     15 * [https://coral.ai/products/pcie-accelerator/ Buy Here]
    616
    717This TPU is appropriate for an application where identifying an object or pattern is required.  This could be, but is not limited to: