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Waveshare Jetson Nano Development Kit, Alternative Solution of B01 Kit B Includes Jetson-IO-Base-A, Nano Module, and Other Accessories (8 Items)
78% of respondents would recommend this to a friend
€ 432
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Based on AI computers Jetson Nano and Jetson Xavier NX, providing almost the same IOs, size and thickness as the Jetson Nano Developer Kit (B01), more convenient for upgrading the core module.
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What Stands Out
Produkto Aprašymas
| RAM Memory Installed | 4 GB |
| Processor Speed | 1.43 GHz |
| Connectivity Technology | Ethernet, USB |
| Operating System | Ios |
| Processor Brand | NVIDIA |
| Wireless Compability | Bluetooth |
| Compatible Devices | Personal Computer |
| RAM Memory Technology | LPDDR4 |
| Brand | waveshare |
| Model Name | Jetson Nano |
| Built-In Media | Jetson-IO-Base-A, Jetson Nano module, Official heatsink, 8 accessories |
| Manufacturer | Waveshare |
| Model Number | JETSON-NANO-DEV-KIT-B |
| Mfr Part Number | JETSON-NANO-DEV-KIT-B |
| Ram Memory Installed Size | 4 GB |
| CPU Speed | 1.43 GHz |
| Item Weight | 2.2 lbs (1 kg) |
Who Should Buy?
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AI Developers
Ideal for AI developers building and testing machine learning models on a powerful, compact platform.
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Educational Institutions
Perfect for schools and universities for teaching AI concepts and robotics through hands-on experience.
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Hobbyist Builders
Great for hobbyists who want to experiment with robotics and computer vision projects using Jetson Nano's capabilities.
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Casual Users
Not suitable for casual users seeking simple plug-and-play devices without technical involvement.
PRODUKTO APRAŠYMAS
Waveshare Jetson Nano Development Kit, Alternative Solution of B01 Kit B Includes Jetson-IO-Base-A, Nano Module, and Other Accessories (8 Items)
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waveshare Single Board Computers JETSON-NANO-DEV-KIT-B Editorial Review
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€ 432
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Savybės ir privalumai
- Alternative solution to the Jetson Nano Developer Kit (B01).
- Includes Jetson-IO-Base-A, Nano Module, and other essential accessories.
- Features powerful 128-core Maxwell GPU and Quad-core ARM A57 CPU.
- Ideal for AI projects like image classification and object detection.
- Convenient hardware upgrade capabilities.
- 4 GB memory and 16 GB eMMC storage ensure efficient performance.
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