The Coral M.2 Accelerator is an M.2 module that brings the Edge TPU coprocessor to existing systems and products with an available card module slot.
The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS, in a power efficient manner. See more performance benchmarks.
Integrates with any Debian-based Linux or Windows 10 system with a compatible card module slot.
No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.
Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.
ML accelerator | Google Edge TPU coprocessor: 4 TOPS (int8); 2 TOPS per watt |
Connector | M.2 (B+M key) |
Dimensions | 22 mm x 80 mm (M.2-2280-B-M-S3) |
Availability | Australia, Brazil, Canada, European Union (except Czech Republic), Ghana, Hong Kong, India, Indonesia, Israel, Japan, Kenya, Malaysia, Mali, Mexico, New Zealand, Oman, Philippines, Singapore, South Korea, Taiwan, Thailand, Ukraine, United States, Vietnam |
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