Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC)
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*Price sourced from Amazon.com. Last updated 2026-04-23. Price and availability subject to change.
Bottom line: The Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC) is a specs-and-price decision rather than a crowd-consensus one in the single-board computers category, priced around $219.99. Check the specification table above against one or two close alternatives — on price and spec fit, not on star ratings.
About this item [Note] Jetson Nano 4GB SUB Kit Nano is a highly consistent developer kit based on official Jetson nano 4GB core module, the only difference is that WayPonDEV Jetson Nano 4GB SUB Kit Nano comes with 16G-eMMC memory,which can boot the board without a TF card. And it also has a TF card slot, you can use USB3.0 U disk to expand the memory. This is the "Jetson Nano 4GB SUB Kit Nano", this is not the "Jetson Orin Nano Super Developer Kit" ! The WayPonDev Jetson Nano SUB Kit Nano delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost…
SpecPicks Verdict
SpecPicks scored Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning… using a rating × review-volume × price-fit model applied to our editorial and benchmark analysis across the single-board computers category. WayPonDEV's single-board computers lineup sits within the broader category mid-tier; price and specs are the deciding factors over brand loyalty here. Judge it on the specification table and the price rather than on sentiment: check the figures that decide your use case, then put it side-by-side with two or three close alternatives in the Compare tool before clicking through.
Common buyer scenarios for single-board computers of this kind: matching it to an existing build, replacing a failing part, or upgrading from a previous-generation equivalent. Check the spec table below against your current setup — particularly socket / form-factor / power-rating fields — and confirm compatibility on the Amazon listing before purchase. Prices, stock, and Prime eligibility update directly from Amazon's catalog and may have moved since this page was last verified.
Pros & Cons
Pros
- ✓ Backed by WayPonDEV's warranty and support channels
- ✓ Ships via Amazon with Prime eligibility and the standard returns policy
Cons
- ✗ Confirm socket / form-factor / power-rating compatibility against your build before ordering
- ✗ Price, stock, and Prime eligibility update from Amazon and may have changed since this page was last verified
Key Features
- [Note] Jetson Nano 4GB SUB Kit Nano is a highly consistent developer kit based on official Jetson nano 4GB core module, the only difference is that WayPonDEV Jetson Nano 4GB SUB Kit Nano comes with 16G-eMMC memory,which can boot the board without a TF card. And it also has a TF card slot, you can use USB3.0 U disk to expand the memory. This is the "Jetson Nano 4GB SUB Kit Nano", this is not the "Jetson Orin Nano Super Developer Kit" !
- The WayPonDev Jetson Nano SUB Kit Nano delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.
- The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. It’s incredibly power-efficient, consuming as little as 5 watts.
- Jetson Nano Sub Kit Nano is also supported by JetPack, which includes a board support package (BSP), Linux OS, N-VI-DI-A CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.The software is even available using an easy-to-flash SD card image, making it fast and easy to get started.
- The same JetPack SDK is used across the entire Jetson family of products and is fully compatible with world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.
- Out of the box The factory eMMC has built-in jetpack466 dtb; it is supported right out of the box. Please note The current Jetson Nano 4GB Sub kit nano Developer Kit latest dtb is jetpack466, which is also the final version of the dtb it will work with. It does not support the latest dtb SDK from N-vi-dia official.
Full Specifications
| ASIN | B09Y94MGRZ |
|---|---|
| Brand | WayPonDEV |
| CPU Speed | 143 GHz |
| Model Name | Jetson Nano SUB Kit Nano Developer Kit (Not Official N-VI-DA Version) |
| Unit Count | 1.0 Count |
| Manufacturer | WayPonDEV |
| Model Number | Jetson Nano 4GB SUB Kit Nano |
| Built-In Media | 1 x Jetson Nano Module with Cooling Fan and Reference Carrier Board (SUB Kit Nano) |
| Mfr Part Number | Jetson Nano 4GB SUB Kit Nano |
| Processor Brand | Arm Cortex A57 |
| Processor Count | 4 |
| Processor Speed | 143 GHz |
| Total Usb Ports | 4 |
| Compatible Devices | Cameras (MIPI CSI-2 DPHY interface), USB devices (keyboards, mice, external storage), HDMI and eDP displays, microcontrollers and sensors (via GPIO, I2C, I2S, SPI, UART) |
| RAM Memory Installed | 4 GB |
| Warranty Description | WayPonDEV Tech Return PolicyYou may return any new computer purchased from Amazon.com that is "dead on arrival," arrives in damaged condition, or is still in unopened boxes, for the refund within 30 days of purchase. Amazon.com reserves the right to test "dead on arrival" returns and impose a customer fee equal to 15 percent of the product sales price if the customer misrepresents the condition of the product. Any returned computer that is damaged through customer misuse, is missing parts, or is in unsellable condition due to customer tampering will result in the customer being charged a higher restocking fee based on the condition of the product. WayPonDEV Tech will not accept returns of any desktop or notebook computer more than 30 days after you receive the shipment. New, used, and refurbished products purchased from Marketplace vendors are subject to the returns policy of the individual vendor. |
| Wireless Compability | 802.11b |
| RAM Memory Technology | LPDDR4 |
| Connectivity Technology | Ethernet |
| Memory Storage Capacity | 16 GB |
Ready to buy?
Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC) is available on Amazon with Prime shipping and the full Amazon returns policy. SpecPicks earns a small commission on qualifying purchases — thank you for supporting independent review work.
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*Price sourced from Amazon.com. Last updated 2026-04-23. Price and availability subject to change.
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