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Description Coral USB Accelerator with Google Edge TPU
🧠 The Coral USB Accelerator is a compact USB-based AI accelerator developed by Google, designed to dramatically speed up machine learning inference on edge devices with excellent power efficiency.
🔹 Key Features
⚡ Google Edge TPU ASIC Built-in
Delivers up to 4 TOPS of ML inference performance with outstanding energy efficiency (up to 2 TOPS/W).
🚀 High-Speed ML Inference
Capable of running models such as MobileNet v2 at approximately 400 FPS (reference benchmark).
🔌 USB Plug-and-Play Connectivity
Connects directly to host systems via USB, no external power supply required.
💻 Wide Platform Compatibility
Supports Debian-based Linux, macOS, and Windows environments.
🧩 TensorFlow Lite Support
Designed for TensorFlow Lite models optimized for Edge TPU execution.
🤖 Ideal for Edge AI Projects
Perfect for Raspberry Pi, single-board computers, and low-power AI applications.
🎯 Typical Use Cases
Edge AI and computer vision
Object detection and image classification
Embedded ML and prototyping
🎧 Brand: Coral (by Google)
📌 Model: G950-01456-01
🧠 ASIC: Google Edge TPU
🎮 Type: USB AI Accelerator
🔌 Connector: USB 3.0 Type-C (bus-powered)
⚡ Power Supply: USB 5 V
⚡ Current: Rated 500 mA / Max 900 mA
🚀 AI Performance: Up to 4 TOPS
⚖ Power Efficiency: Approx. 2 TOPS/W
🧩 Supported Framework: TensorFlow Lite
💻 Supported OS: Debian-based Linux, macOS, Windows
📐 Dimensions: Approx. 65 × 30 × 8 mm (2.56 × 1.18 × 0.31 in)
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