NVIDIA Jetson Nano Developer Kit B01
HKD 2132
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Join the revolution and bring AI power to millions of devices with the Jetson Nano Developer Kit - small size, low power, and low cost, yet incredibly powerful with only 5W power consumption.
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產品詳情
- ■Product Specifications GPU: 128Core Maxwell GPU CPU: 4Core ARM A57 Memory: 4GB 64Bit LPDDR4 | 25.6GB/s Storage: microSDnot included
| RAM Memory Installed | 4 GB |
| CPU Model | ARMv7 |
| Operating System | Android 6 Marshmallow |
| Processor Brand | ARM |
| Compatible Devices | Camera, Computer, Keyboard, Mouse, Display |
| RAM Memory Technology | LPDDR4 |
| Processor Count | 4 |
| Brand | NVIDIA |
| Model Name | Jetson Nano |
| Built-In Media | Quick Start Guide |
| UPC | 822361292746 |
| Mfr Part Number | NVIDIA Jetson Nano開発キット |
| Manufacturer | NVIDIA |
| Item Type Name | Single Board Computer Kit |
| Ram Memory Installed Size | 4 GB |
| Included Components | Quick Start Guide |
| Item Weight | 1 lbs (450 grams) |
Who Should Buy?
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AI Enthusiasts
Ideal for hobbyists exploring AI implementation, providing powerful capabilities in a low-cost, efficient module.
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Educational Use
Perfect for students and educators to learn about machine learning and robotics with hands-on experience.
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Prototypers
Great for developers building prototypes and testing algorithms in real-time without breaking the budget.
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High-Performance Tasks
Not suitable for demanding AI applications requiring more processing power and memory than the Jetson Nano offers.
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Commercial Use
Less ideal for commercial applications needing robust reliability and support beyond hobby-grade development environments.
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Non-Technical Users
Not recommended for individuals without technical knowledge, as setup and programming may be challenging for beginners.
產品敘述
About This Item
Introducing the NVIDIA Jetson Nano Developer Kit B01 - Join the revolution in AI power! This developer kit allows you to tap into the incredible potential of AI and bring its capabilities to millions of devices. With its compact size, low power consumption, and affordable price, the Jetson Nano Developer Kit is the perfect solution for image classification, object detection, segmentation, and voice processing applications. Equipped with various sensors and I/Os including GPIO and CSI, this developer kit supports a wide range of sensors to meet your specific requirements.
Plus, it can be conveniently powered by a micro USB, making it super efficient with only 5W power consumption. But the power of the Jetson Nano Developer Kit doesn't stop there. It also comes with Jetpack, which includes essential software libraries such as the Board Support Package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT.
Now you can leverage the power of deep learning, computer vision, GPU computing, multimedia processing, and more, thanks to this state-of-the-art kit. Please note that the power supply and storage (microSD card) are not included. Don't miss out on the opportunity to bring AI to your projects.
Get the NVIDIA Jetson Nano Developer Kit B01 today and unlock the full potential of AI for your applications.
客戶問題&回答
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題:
What accessories are included with the Jetson Nano Developer Kit?
回答: The Jetson Nano Developer Kit includes the board only. Power supply and storage (microSD card) are not included. -
題:
What types of applications is the Jetson Nano Developer Kit suitable for?
回答: The kit is suitable for image classification, object detection, segmentation, voice processing applications, deep learning, computer vision, GPU computing, multimedia processing, and more. -
題:
What are the power requirements for the Jetson Nano Developer Kit?
回答: The kit can be powered by micro USB and has a super power efficient operation with only 5W power consumption.
Customer Reviews & Ratings
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5 星
56%
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4 星
18%
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3 星
17%
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2 星
4%
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1 星
5%
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HKD 2132
現在訂購,約可在下列時間收貨: 星期六, 七月 11
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特色和優勢
- Revolutionary AI power for millions of devices
- Small size, low power, and low cost
- Incredible performance with only 5W power consumption
- Supports various sensors and I/Os
- Instantly use Board Support Package, Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries
- GPU: 128Core Maxwell GPU, CPU: 4Core ARM A57, Memory: 4GB 64Bit LPDDR4 | 25.6GB/s, Storage: microSD (not included)
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