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Item #:
20016057
NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)
90% of respondents would recommend this to a friend
Item #:
20016057
€ 500
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The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost.
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What Stands Out
Powerful AI Processing
The Jetson Nano delivers powerful AI computing performance, enabling developers to create complex machine learning applications with enhanced processing capabilities in compact hardware.
Robust Ecosystem
Access to a comprehensive ecosystem, including software tools, tutorials, and community support, which drastically reduces development time and accelerates project deployment for AI applications.
Affordable Innovation
Affordable price point allows hobbyists and professionals alike to experiment with advanced AI technologies, fostering innovation in robotics, computer vision, and IoT devices without breaking the bank.
Product Details
- Delivers high compute performance for AI workloads at a small size and low cost
- Ideal for image classification, object detection, segmentation, and speech processing applications
- Power-efficient, consuming as little as 5 watts, and powered by micro-USB
- Supported by NVIDIA JetPack with board support package, Linux OS, CUDA, cuDNN, and TensorRT software libraries for deep learning and GPU computing
- Features extensive I/Os such as GPIO and CSI for connecting new sensors
- Layout includes USB 3.0 ports, MIPI CSI-2 camera connector, HDMI 2.0, DisplayPort 1.3, Gigabit Ethernet, M.2 Key-E module, microSD card slot, and 40-pin GPIO header
| RAM Memory Installed | 2048 MB |
| Memory Storage Capacity | 4 GB |
| Connectivity Technology | GPIO, USB |
| Operating System | Linux |
| Processor Brand | NVIDIA |
| Wireless Compability | Bluetooth |
| Compatible Devices | Desktop |
| RAM Memory Technology | LPDDR4 |
| Processor Count | 4 |
| Total Usb Ports | 1 |
| Item Dimensions L x W x H | 2.72"L x 1.77"W x 1.77"H (6.9 x 4.5 x 4.5 cm) |
| Brand | NVIDIA |
| Model Name | 945-13450-0000-100 |
| UPC | 812674024356 |
| Global Trade Identification Number | 00812674024356 |
| Manufacturer | NVIDIA Corporation |
| Model Number | 945-13450-0000-100 |
| Mfr Part Number | 945-13450-0000-100 |
| Ram Memory Installed Size | 2048 MB |
| Package Weight | 1 Pound |
Who Should Buy?
-
AI Enthusiasts
Perfect for hobbyists wanting to explore AI and machine learning in small-scale projects and experiments.
-
Robotics Developers
Ideal for building and programming robots, providing sufficient power for complex algorithms in a compact form factor.
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Educational Institutions
Great for universities and schools focusing on teaching AI, robotics, and computer vision with practical hands-on experience.
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High-End Gamers
Not suitable for gaming as it lacks the high-performance graphics capabilities required for intensive gaming applications.
Product Description
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NVIDIA Internal Components 945-13450-0000-100 Editorial Review
The Jetson Nano B01 is a single board computer that runs full-sized Ubuntu Linux on ARM and can run Python code, including TensorFlow/PyTorch. It has 4GB of RAM soldered on, but other Jetson development boards have between 8GB and 32GB of RAM. Prices have recently come down to the suggested retail price of $99, and Nvidia provides numerous online resources and forums for learning about AI. However, some customers have had difficulty making the device work and have experienced problems with the board not booting, and one user reported that their board stopped working 13 months after purchase.
Customer Reviews & Ratings
633 customers ratings
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Pros
- Runs full-sized Ubuntu Linux on ARM
- Can run Python code, including TensorFlow/PyTorch
- Nvidia provides numerous online resources and forums for learning about AI
Cons
- Some customers have experienced problems with board not booting and with the device not working
Top selling Jetson Nano in {{COUNTRY_NAME}}
Last Updated on August 11, 2026
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Features & Benefits
- Run AI frameworks and models for image classification, object detection, segmentation, and speech processing.
- Easy-to-connect I/Os and power-efficient design.
- Supported by NVIDIA JetPack with deep learning, computer vision, and multimedia processing software libraries.
- Compatible with NVIDIA's AI platform for training and deploying AI software.
- Proven software stack reduces complexity and effort for developers.
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