The Google Edge TPU coprocessor is an ASIC that adds fast ML inferencing to systems to reduce latency, increase data privacy, and remove the need for constant high-bandwidth connectivity. The Edge TPU can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS in a power efficient manner. It can perform 4 trillion operations (tera-operations) per second (TOPS) using 0.5 watts for each TOPS (2 TOPS per watt). The Accelerator delivers 4 TOPS at 2 Watts of power consumption.

Coral, a division of Google, helps build intelligent ideas with their platform for local AI.

Features

• Small 30mm x 26.8mm x 2.5mm footprint
• Dual A+E keyed
• Google Edge TPU ML accelerator coprocessor
• Power efficiency at .5 watts for each TOPS of performance
• High speed TensorFlow Lite inferencing
• Supports Debian Linux on host CPU

Specifications

• PCIe Gen2 x1 serial interface
• 3.3V ± 10% DC supply
• -40°C to 85ºC (storage) temperature
• -20ºC to 70ºC (operating) temperature
• ESD³ compliance - 1kV HBM, 250V CDM
• 11ºC/W thermal resistance (junction to top of shield can)
• 100ºC maximum Edge TPU junction temperature

Applications

• Embedded platforms
• Mini-PCs
• Industrial gateways
• IoT devices
• Workstations

View Datasheet

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