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Item #:
191964199
Jetson Nano 4GB RAM 16G eMMC onboard for AI Robotics Machine Learning Heatsink Version
Item #:
191964199
XAF 245766
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Jetson Nano 4GB SUB Kit Nano delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost.
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What Stands Out
High RAM Capacity
With 4GB of RAM, the Jetson Nano ensures smooth performance for AI robotics and machine learning applications, enabling users to handle more complex tasks efficiently.
Onboard storage
The 16GB eMMC storage provides ample space for applications and data, streamlining the development process for robotics and machine learning projects without the need for additional storage solutions.
Cooling Solution
The included heatsink version preserves optimal temperature during operation, ensuring reliable performance and longevity, making it ideal for intensive workloads in AI and robotics applications.
Product Details
- Jetson Nano 4GB SUB Kit comes with 16G eMMC memory and can boot the board without a TF card
- Offers multiple AI framework support for running modern AI workloads
- Power-efficient, consuming as little as 5 watts and can be powered by micro-USB
- Supported by JetPack, which includes a board support package (BSP), Linux OS, N-VI-DI-A CUDA, cuDNN, and TensorRT
- Uses the same JetPack SDK across the entire Jetson family of products and is fully compatible with world-leading AI platform
- Comes with 1 x Jetson Nano Module with Heat Sink, 1 x Reference Carrier Board, and a 5V-4A Power Supply
| RAM Memory Installed | 4 GB |
| Memory Storage Capacity | 16 GB |
| Processor Speed | 1.43 GHz |
| Connectivity Technology | Ethernet |
| Operating system | Linux |
| Processor Brand | ARM |
| Wireless Compability | 802.11b |
| Compatible Devices | PC |
| RAM Memory Technology | LPDDR4 |
| Processor Count | 4 |
| Total Usb Ports | 5 |
| Item Dimensions L x W x H | 10L x 8W x 2.9H cm |
| Brand | WayPonDEV |
| Model Name | Jetson Nano 4GB SUB Developer Kit (Heat Sink Version) |
| Built-In Media | 1 x Jetson Nano Module (SUB Kit Nano ) with Cooling Fan and Reference Carrier Board and 1 x 5V 4A Power Supply |
| Manufacturer | WayPonDEV |
| Model Number | Jetson Nano 4GB Developer Kit |
| Mfr Part Number | Jetson Nano 4GB Developer Kit |
| Ram Memory Installed Size | 4 GB |
| CPU Speed | 1.43 GHz |
| Country of Origin | This item will be imported from JP |
| Date First Available | August 20, 2025 |
| What is in the box | Jetson Nano 4GB RAM... For more details, please check description/product details |
Who Should Buy?
-
AI Enthusiasts
Perfect for hobbyists looking to experiment with AI algorithms and robotics at an affordable price.
-
Students Learning
Ideal for students in robotics or AI courses needing a practical platform for hands-on projects and experimentation.
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Developers Prototype
Great for developers creating prototypes of AI applications, providing powerful features in a compact form.
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High-end gaming
Not suitable for high-performance gaming due to limited graphics capabilities and processing power.
Product Description
Jetson Nano 4GB RAM 16G eMMC onboard for AI Robotics Machine Learning Heatsink Version
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
What memory does the kit come with?
Answer: The Jetson Nano 4GB SUB Kit comes with 16G-eMMC memory. -
Question:
What AI frameworks are supported?
Answer: The kit supports multiple AI frameworks for image classification, object detection, segmentation, and speech processing. -
Question:
What software does it come with?
Answer: The kit is supported by JetPack software, which includes Linux OS, CUDA, cuDNN, TensorRT, and more.
WayPonDEV Jetson Nano 4GB Developer Kit Editorial Review
The Jetson Nano 4GB RAM with 16G eMMC onboard has drawn significant criticism from customers, particularly due to a range of technical issues and support deficiencies. Many users expressed frustration over the product's performance and its limitations. A primary complaint highlighted was the product's compatibility, as it was reported that it only effectively worked with Ubuntu 18.04, with no clear instructions or support for other versions, leaving users struggling to set it up with newer software like Ubuntu 20.04 or 22.04. Customers also noted that the onboard eMMC storage was insufficient for practical applications, with reported difficulties in expanding it to utilize external storage like a 512GB SD card. Several experiences in reflashing and recovery led to an inability to get the product functioning after updates, resulting in corrupted storage and unsuccessful attempts at troubleshooting, exacerbated by a lack of vendor support. Overall, the sentiment surrounding this product indicates it may be a poor investment, especially when compared to the more reliable options available directly from Nvidia that come with better online documentation and support. **
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Pros
- Capable of functioning with Ubuntu 18.04 for those who can manage the setup.
- Performant in specific environments when configured correctly.
Cons
- Limited compatibility with newer software versions (only supports Ubuntu 18.04 effectively).
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Features & Benefits
- Highly consistent developer kit
- 16G-eMMC memory for booting without a TF card
- Multiple AI frameworks supported
- Extensive I/Os for connecting various sensors
- JetPack software support for easy setup
- Proven software stack for reduced complexity
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