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Coral Accelerator Module (Surface Mount, with Edge TPU)

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Coral Surface Mount Accelerator Module with Edge TPU is a multi-chip module (MCM) designed to perform high-speed inferencing for machine learning (ML) models. It includes the Edge TPU ML accelerator with integrated power control and it can be connected over a PCIe Gen2 x1 or USB2 interface.

The Edge TPU is a small ASIC design that accelerates TensorFlow Lite models in a power efficient manner. It can perform 4 trillion operations per second (4 TOPS), using 2 watts of power (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. This on-device ML processing reduces latency, increases data privacy, and removes the need for a constant internet connection.

  • Google Edge TPU ML accelerator
    • 4 TOPS peak performance (int8)
    • 2 TOPS per watt
  • Integrated power management
  • PCIe Gen2 x1 or USB 2.0 interface
  • Surface-mounted (LGA) module
  • 15.0mm x 10.0mm x 1.5mm
  • 0.67g Weight
  • -40 to +85°C Operating temperature
  • RoHS compliant


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