Introducing the USB Coral TPU, a compact and powerful device designed to accelerate AI processing for edge computing. Ideal for developers and tech enthusiasts, this USB stick-like device is powered by the Edge TPU, Google’s custom-designed ASIC (Application-Specific Integrated Circuit) built for TensorFlow Lite. The Coral TPU dramatically enhances machine learning tasks, enabling faster and more efficient processing of AI models.
Plug-and-play, the Coral TPU connects to your existing systems via USB 3.0, bringing powerful AI capabilities to a wide range of devices, from desktops to micro servers. It’s particularly effective in tasks requiring real-time data processing, such as image recognition and object detection, making it a perfect fit for security systems, smart cameras, and IoT applications. All this power is available at a payload of only 2W.
The Coral TPU’s ability to offload AI processing from the main CPU allows for improved performance, lower power consumption, and higher throughput. When integrated into systems like our Intel-based micro server, it can handle significantly more camera feeds, boosting the efficiency of AI models used for tasks like detecting people, vehicles, and animals in security footage.
Compact, efficient, and powerful, the USB Coral TPU is the ideal upgrade for anyone looking to enhance AI performance without overhauling their existing hardware setup. Whether you’re building a security system, a smart home, or an IoT project, the Coral TPU brings advanced AI capabilities to your fingertips, enabling faster and more responsive edge computing solutions. Productions tests done at the ALFA LUMINAR Labs reflect an inference time of less than 15ms on a system (with the Coral TPU) with 10 HD camera feeds connected.