Google, Murata Integrate Coral Edge TPU in Tiny AI Module

Google and Murata have partnered to create the Coral Accelerator Module based on Google’s Edge TPU ASIC. The custom-designed module measures a tiny 10 mm x 15 mm x 1.5 mm while delivering up to 4 TOPS of performance at the expense of only 2 TOPS per watt of power consumption. This is thanks in part to a PMIC integrated into the Edge TPU chipset.

The 120-pin LGA surface-mount module offers advanced noise suppression and a simplified PCB design that can be soldered easily. Supported interfaces include PCIe Gen 2, USB 2.0, and I2C (optional).

The Coral Accelerator Module supports the TensorFlow Lite deep learning framework and AutoML Vision Edge computer vision modeling software.

The Coral Accelerator Module will be available for sale in early 2020.

For more information, visit www.coral.ai. To view performance benchmarks, visit coral.ai/docs/edgetpu/benchmarks.

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Brandon Lewis, Editor-in-Chief of Embedded Computing Design, is responsible for guiding the property's content strategy, editorial direction, and engineering community engagement, which includes IoT Design, Automotive Embedded Systems, the Power Page, Industrial AI & Machine Learning, and other publications. As an experienced technical journalist, editor, and reporter with an aptitude for identifying key technologies, products, and market trends in the embedded technology sector, he enjoys covering topics that range from development kits and tools to cyber security and technology business models. Brandon received a BA in English Literature from Arizona State University, where he graduated cum laude. He can be reached by email at brandon.lewis@opensysmedia.com.

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