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Coral G950-06809-01 USB Accelerator: ML Accelerator, USB 3.0 Type-C, Debian Linux Compatible
- 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
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Overview
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Unleash AI Power on Your Device with the Google Coral USB Accelerator Accelerate machine learning tasks on your existing Linux system with the Google Coral USB Accelerator. This compact device features a built-in Edge TPU chip, delivering powerful performance at low power consumption. Run TensorFlow Lite models for real-time image recognition, object detection, and more, all on your device.
Features: High-Performance
Edge TPU: Google-designed ASIC delivers 4 trillion operations per second (TOPS) for efficient machine learning inference.
USB Connectivity: Easily connect to your device using the included USB 3.0 cable (Type-C to Type-A).
Compact Design: Small and lightweight for convenient desktop or mobile use.
Broad Compatibility: Works with various Linux systems, including Raspberry Pi.
TensorFlow Lite Support: Leverage pre-trained models or develop your custom applications.
Applications: Image
Recognition: Quickly identify objects and scenes in images and videos.
Object Detection: Track and classify objects in real-time for applications like security or robotics. Machine Learning on
Edge Devices: Run AI models directly on your device without relying on the cloud.
Features: High-Performance
Edge TPU: Google-designed ASIC delivers 4 trillion operations per second (TOPS) for efficient machine learning inference.
USB Connectivity: Easily connect to your device using the included USB 3.0 cable (Type-C to Type-A).
Compact Design: Small and lightweight for convenient desktop or mobile use.
Broad Compatibility: Works with various Linux systems, including Raspberry Pi.
TensorFlow Lite Support: Leverage pre-trained models or develop your custom applications.
Applications: Image
Recognition: Quickly identify objects and scenes in images and videos.
Object Detection: Track and classify objects in real-time for applications like security or robotics. Machine Learning on
Edge Devices: Run AI models directly on your device without relying on the cloud.
Warranty & Returns
Warranty, Returns, And Additional Information
Warranty
- Please contact the Seller directly for warranty information. Warranty information may also be found on the Manufacturer's website.
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Return Policies
- Return for refund within: 30 days
- Return for replacement within: 30 days
- This item is covered by CloudBeast Return Policy
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