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The Google Coral TPU USB Accelerator CPU module is a powerful solution for accelerating AI-based computations. This module available in a compact USB form provides fast and efficient processing of machine learning algorithms. The Coral TPU USB Accelerator module utilizes Google’s Tensor Processing Unit TPU technology to accelerate specific AI computations. It can be easily connected to your existing computer system by simply plugging it into a USB port. This grants you access to a significant boost in computational power for demanding tasks such as machine learning image recognition and speech processing. This module delivers high-performance capabilities with low power consumption. It allows you to execute complex AI algorithms quickly without relying on the computational resources of your main CPU. This results in improved speed and efficiency for AI applications. Moreover the Coral TPU USB Accelerator module provides a user-friendly development platform with extensive software tools and APIs. This enables developers to easily create customize and deploy AI applications. The module is compatible with various frameworks and libraries offering seamless integration into your existing development infrastructure. With the Google Coral TPU USB Accelerator CPU module you gain a powerful solution for accelerating AI computations in a compact and user-friendly design. Harness the advantages of Tensor Processing Unit technology to execute your AI applications faster and more efficiently.
- A USB accessory that brings inference machine learning to existing systems. Works with Raspberry Pi and other Linux systems.
- Works with Debian Linux: Connects to any Debian-based Linux system with an included USB 3.0 Type-C cable.
- Supports TensorFlow Lite – no need to build models from scratch. Tensorflow Lite models can be compiled to work on the TPE Edge.
- Supports Automl Vision Edge: Easily build and deploy high-precision custom image classification models on your device with Automl Vision Edge.
- ML Accelerator: Google TPE edge coprocessor.
- Connector: USB 3.0 Type-C data/power.
- Size: 65mm x 30mm.