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M.2 Accelerator with Dual Edge TPU M.2-2230 (E-key)
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M.2 Accelerator with Dual Edge TPU M.2-2230 Features
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Connector: M.2 E-key (with two PCIe Gen2 x1 lanes)*
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Google Edge DUAL TPU coprocessor
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22.00 x 30.00 mm
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Supports TensorFlow Lite
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Works with Debian Linux
About M.2 Accelerator With Dual Edge TPU M.2-2230
Description: The Coral M.2 Accelerator with Dual Edge TPU is an M.2 module that brings two Edge TPU coprocessors to existing systems and products with a compatible M.2 E-key slot.* Performs high-speed ML inferencing Each Edge TPU coprocessor is capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power. For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power efficient manner. 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. See more Edge TPU performance benchmarks. Works with Debian Linux and Windows Integrates with Debian-based Linux or Windows 10 systems with a compatible card module slot. Supports TensorFlow Lite No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU. Supports AutoML Vision Edge Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge. Tech specs ML accelerator2x Google Edge TPU coprocessor: 8 TOPS (int8); 2 TOPS per watt Connector: M.2 E-key (with two PCIe Gen2 x1 lanes)* Dimensions:22 mm x 30 mm (M.2-2230-D3-E) * Although the M.2 Specification (section 5.1.2) declares E-key sockets provide two instances of PCIe x1, most manufacturers provide only one. To use both Edge TPUs, be sure your socket connects both instances to the host.
