Price: $77.25
(as of Jan 03,2025 10:44:07 UTC – Details)
A USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems.
A USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems
Performs high-speed ML inferencing: the on-board edge TPU Coprocessor is capable of performing 4 trillion operations (tera-operations) per second (tops), using 0.5 watts for each tops (2 tops per watt). For example, it can execute state-of-the-art mobile vision models such as mobilenet V2 AT 400 FPS, in a power efficient manner
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 the ground up. Tensorflow Lite models can be compiled to run on the edge TPE
Supports automl vision edge: easily build and deploy fast, high-accuracy custom image classification models to your device with automl vision edge
Ml Accelerator: Google edge TPU Coprocessor
Connector: USB 3.0 Type-C (data/power)
Dimensions: 65 millimeter x 30 millimeter
Customers say
Customers find the single board computer functional and good for its intended use. They say it works well as a plug-and-play device with security cameras and NVRs. Many of them appreciate that it allows them to reduce main CPU usage and process more video streams. However, some feel the price is too high and the performance is not worth the cost. There are mixed opinions on the overall performance.
AI-generated from the text of customer reviews
Introducing the Coral USB Accelerator: Boosting AI Performance on-the-go
The Coral USB Accelerator is a compact and powerful device designed to enhance AI performance on a wide range of edge devices. Whether you’re working on a Raspberry Pi, a laptop, or a desktop computer, this USB accelerator can help speed up AI inference tasks significantly.
With the Coral USB Accelerator, you can easily run machine learning models on your device without needing to rely on cloud services. This means faster response times and improved privacy for your AI applications.
The Coral USB Accelerator is compatible with TensorFlow Lite and TensorFlow models, making it a versatile tool for developers working on AI projects. It’s also easy to set up and use, making it suitable for both beginners and experienced developers.
If you’re looking to take your AI projects to the next level, consider adding the Coral USB Accelerator to your toolkit. With its speed and efficiency, you’ll be able to tackle more complex AI tasks with ease.
#Coral #USB #Accelerator,google coral usb edge tpu ml accelerator coprocessor for raspberry pi and
other embedded single board computers
Leave a Reply