Google Coral USB ML Accelerator Edge TPU AI Machine Learning - Brand New Sealed
DJF 45682
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Add an Edge TPU coprocessor to your system for high-speed machine learning inferencing, just by connecting it via a USB port.
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What Stands Out
Product Details
| Number of Ports | 1 |
| Model | Google Coral USB ML Accelerator Edge TPU AI Machin |
| Interface Card Type | Edge TPU coprocessor |
| MPN | G950-06809-01 |
| Brand | Coral |
| Compatible Port/Slot | USB 3.0 Type-C socket |
| UPC | 842776110077 |
| Country of Origin | Japan |
| Item Weight | 0.15 lbs (70 grams) |
Who Should Buy?
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AI Developers
Perfect for AI developers looking to accelerate machine learning models at the edge with low power consumption.
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Educators and Students
Ideal for educators and students wanting to experiment with machine learning applications and embedded systems.
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IoT Enthusiasts
Great for Internet of Things enthusiasts seeking to implement advanced AI processing directly on edge devices.
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Casual Users
Not suitable for casual users looking for a simple plug-and-play device without technical knowledge.
Product Description
Customer Questions & Answers
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Question:
What systems can I connect the Coral USB Accelerator to?
Answer: It connects to any system running Debian Linux, macOS, or Windows 10. -
Question:
What is the performance capability of the Edge TPU?
Answer: It can perform 4 trillion operations per second (TOPS) with high power efficiency. -
Question:
Is there a return policy for this product?
Answer: All sales are final and there are no returns.
coral Editorial Review
The Google Coral USB ML Accelerator Edge TPU AI Machine Learning is a powerful tool designed for edge computing. With its compact design and lightweight nature, weighing only 0.15 lbs, this device integrates seamlessly via a USB 3.0 Type-C socket, making it an ideal choice for developers looking to enhance their AI applications. The accelerator's Edge TPU coprocessor ensures that complex machine learning models can be processed efficiently, providing significant performance improvements. Its single port design simplifies connectivity while maintaining a robust performance in a variety of tasks. Users appreciate its capability to handle demanding AI workloads, making it a favorite among tech enthusiasts and developers alike.
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Pros
- Compact and lightweight design for easy portability
- Compatible with USB 3.0 Type-C for versatile use
- Enhances AI application performance significantly
- Ideal for edge computing solutions
- User-friendly for developers and tech enthusiasts
Cons
- Limited to a single USB port for connectivity
Platform Trust & Buyer Confidence
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DJF 45682
Order now and get it around Monday, October 19
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
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Features & Benefits
- Brand New and Sealed Google Coral USB ML Accelerator.
- Ships same business day if ordered before 11 AM PST.
- Enables high-speed machine learning inferencing with Edge TPU coprocessor.
- Performs 4 trillion operations per second using low power.
- Supports TensorFlow Lite and AutoML Vision Edge for easy model deployment.
- Fits any system running Debian Linux, macOS, or Windows 10.
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