Build your own edge AI applications from sketch to reality

Why Coral

Internet of Things (IoT) and artificial intelligence (AI) applications are typically resource-constrained in terms of power, memory and computation. This triggers the development of more efficient algorithms and computational methods. For lightweight models with small datasets, and inference applications that require low power consumption and low latency compute resource, Google’s Coral Edge TPU is simply the best.

About Edge TPU

ASUS IoT is dedicated to providing ideal solutions for our age of IoT and AI (or AIoT, for short). We relentlessly seek solutions to solve business challenges. Today, more and more customers demand AI on the edge, for high-performance, energy-efficient compute power that runs locally. Together with Google technology, the Coral Edge TPU empowers you to build products that are efficient, private, fast and offline.

Efficient

Balance power and performance with local, embedded applications.

Fast

Run lightning-fast AI at industry-leading inference speeds for embedded devices.

Private

Keep user data private by performing all inferences locally.

Offline

Deploy in the field where connectivity is limited.

Want to integrate the Coral Edge TPU into your product?

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