The Coral Accelerator Module is designed to perform high-speed inferencing for machine learning (ML) models. The Coral module is a multi-chip module (MCM) that includes the Edge TPU ML accelerator with integrated power control, which can be connected over a PCIe Gen2 x1 or USB2 interface. The on-device ML processing reduces latency, increases data privacy, and removes the need for a constant internet connection.
MoreThe Coral Accelerator Module is designed to perform high-speed inferencing for machine learning (ML) models. The Coral module is a multi-chip module (MCM) that includes the Edge TPU ML accelerator with integrated power control, which can be connected over a PCIe Gen2 x1 or USB2 interface. The on-device ML processing reduces latency, increases data privacy, and removes the need for a constant internet connection.
The Edge TPU accelerator is a small ASIC designed by Google that accelerates TensorFlow Lite models in a power-efficient way. It is designed to perform 4 trillion operations per second (4 TOPS), using 2 watts of power—that’s 2 TOPS per watt.
For example, one Edge TPU can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 frames per second.
The Coral module supports TensorFlow Lite
The Coral Accelerator Module is a surface-mounted module that includes the Edge TPU and its own power control. It provides accelerated inferencing for TensorFlow Lite models on your custom PCB hardware.
There is no need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.
The Accelerator Module is:
Technical Specifications |
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Dimensions: | 15.0 x 10.0 x 1.5 mm |
Weight: | 0.67 g |
Operating temperature: | -40 to +85 °C |
Chipset: | Google Edge TPU and PMIC |
Mounting type: | SMT, 120-pin LGA |
Serial interface: | PCIe Gen 2 or USB 2.0
Note: USB 3.0 is also available but requires special design considerations and support |
SKU | 2154732 |
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mpn | G313-06329-00 |
brand | Coral |
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