Coral Accelerator Module (Surface Mount, with Edge TPU)
The Edge TPU is a small ASIC design that accelerates TensorFlow Lite models in a power efficient manner.
Product Overview
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.
Features & Specs
- 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
Documentation
Customer Reviews

Stock and Customer Discounts
Available Discounts
- $21.80 | 25+ units
- $20.66 | 100+ units