Illustration by Undraw

The Google Edge TPU

The combination of custom hardware, open software, and state-of-the-art AI algorithms

In the recent days I have begun writing about artificial intelligence and hardware.

Google’s Edge TPU does according to the company deliver high performance in a small physical and power footprint, enabling the deployment of high-accuracy AI at the edge.
Picture of a tensor processing unit by Zinskauf.
  • High performance in a small physical and power footprint. Thanks to its performance, small footprint, and low power, Edge TPU enables the broad deployment of high-quality AI at the edge.
  • Co-design of AI hardware, software and algorithms. Edge TPU isn’t just a hardware solution, it combines custom hardware, open software, and state-of-the-art AI algorithms to provide high-quality, easy to deploy AI solutions for the edge.
  • A broad range of applications. Edge TPU can be used for a growing number of industrial use-cases such as predictive maintenance, anomaly detection, machine vision, robotics, voice recognition, and many more. It can be used in manufacturing, on-premise, healthcare, retail, smart spaces, transportation, etc.”

AI Policy and Ethics at www.nora.ai. Student at University of Copenhagen MSc in Social Data Science. All views are my own. twitter.com/AlexMoltzau

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