M.2 Accelerator with Dual Edge TPU datasheet Version 1.4 Features 2x Google Edge TPU ML accelerator 8 TOPS total peak performance (int8) 2 TOPS per watt Integrated power management 2x PCIe Gen2 x1 interface (one per Edge TPU) M.2-2230-D3-E module Size: 22.0 x 30.0 x 2.8 mm Operating temp: -40 to +85 C Description The Coral M.2 Accelerator with Dual Edge TPU is an M.2 module (E-key) that includes two Edge TPU ML accelerators, each with their own PCIe Gen2 x1 interface. The Edge TPU is a small ASIC designed by Google that accelerates TensorFlow Lite models in a power ecient manner: each one is capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of powerthat 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. With the two Edge TPUs in this module, you can double the inferences per second (8 TOPS) in several ways, such as by running two models in parallel or pipelining one model across both Edge TPUs. Notice: Because this module uses two PCIe x1 connections, it is not compatible with all M.2 E-key card slots. The dual Edge TPUs also result in special power requirements that you must carefully review. Ordering information Part number Description G650-06076-01 Coral M.2 Accelerator with Dual Edge TPU See M.2 Accelerator with Dual Edge TPU datasheet v1.4 G650-06076-01 Table of contents Features 1 Description 1 Ordering information 1 Table of contents 2 1 Specications 3 2 Dimensions 4 3 Electrical characteristics 4 3.1 Absolute maximum ratings 4 3.2 Power consumption 5 3.3 Peak performance 5 4 Connector pinout 6 5 Application details 7 5.1 Software requirements 7 5.2 Power delivery and management 7 5.3 Thermal management 7 5.3.1 Thermal limits 8 5.3.2 Top-side cooling options 8 5.3.3 Bottom-side cooling options 9 5.3.4 Temperature warnings and frequency scaling 9 6 Document revisions 10 Coral.ai Copyright 2020 Google LLC. 2