Google in March the , a compact PC featuring a tensor processing unit (Edge TPU) AI accelerator chip, and alongside it a USB dongle designed to speed up machine learning inference on existing Raspberry Pi and Linux systems (the Coral USB Accelerator). Since then, updates to the kits’ supporting resources have arrived at a steady clip, and today, Google released a new family of classification models — EfficientNet-EdgeTPU — it says are optimized to run on the Coral boards’ system-on-modules.

Both the training code and pretrained models for EfficientNet-EdgeTPU are available on .

“As reducing transistor size becomes more and more difficult, there is a renewed focus in the industry on developing domain-specific architectures — such as hardware accelerators — to continue advancing computational power,”

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