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Google's Edge TPU breaks model inferencing out of the cloud

July 31, 2018 / Nicole Laskowski

Google's Edge TPU is a force multiplier to compete against the likes of Amazon, IBM and Microsoft, and to attract next-gen app developers. Google is bringing tensor processing units to the edge. At the Google Cloud Next conference in San Francisco, the company introduced Edge TPU, an application-specific integrated circuit designed to run TensorFlow Lite machine learning models on mobile and embedded devices. The announcement is indicative of both the red-hot AI hardware market, as well as the growing influence machine learning is having on the internet of things and wireless devices. But the Edge TPU also gives Google a more comprehensive edge-to-cloud AI stack to compete against the likes of Microsoft, Amazon and IBM as it looks to attract a new generation of application developers. Analysts called the move a good one. "This fills in a big gap that Google had," said Forrester's Mike Gualtieri. Spotlight on model inferencing. Google's cloud environment is a ferti...