Accelerator Module datasheet
■The Coral Accelerator Module 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 designed by Google that accelerates TensorFlow Lite models in a power efficient manner: it's capable of performing 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. This on-device ML processing reduces latency, increases data privacy, and removes the need for a constant internet connection.
●Features
■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
■Size: 15.0 x 10.0 x 1.5 mm
■Weight: 0.67 g
■Operating temp: -40 to +85 °C
■RoHS compliant
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Datasheet |
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Please see the document for details |
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English Chinese Chinese and English Japanese |
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January 2021 |
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Version 1.4 |
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2.1 MB |
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