Tag: M.22230AES3

Price: $48.88
(as of Dec 24,2024 23:41:57 UTC – Details)

Integrate the Edge TPU into legacy and new systems using an M.2 A+E key interface.
Connector: M.2 (A+E key)
Google Edge TPU coprocessor
22 mm x 30 mm (M.2-2230-A-E-S3)
Supports TensorFlow Lite
Works with Debian Linux

Are you looking to integrate Google’s Edge TPU machine learning accelerator into your legacy or new systems? Look no further than the SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key).

This System-On-Module (SOM) is designed to seamlessly integrate the Edge TPU into a wide range of applications, providing fast and efficient machine learning inferencing capabilities. The M.2-2230 form factor with A/E Key interface allows for easy integration into existing systems, making it ideal for upgrading legacy systems or designing new ones with AI capabilities.

With the SOM Edge TPU ML Compute Accelerator, you can take advantage of Google’s powerful Edge TPU for tasks such as image recognition, object detection, and more. Whether you are developing a new product or looking to enhance the capabilities of an existing one, this module provides a flexible and cost-effective solution for integrating machine learning into your systems.

Don’t wait any longer to bring the power of Edge TPU to your applications. Contact us today to learn more about the SOM Edge TPU ML Compute Accelerator and how it can help you achieve your machine learning goals.
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