--- product_id: 724661008 title: "Jetson Nano 4GB RAM 16G eMMC onboard for AI Robotics Machine Learning (Heat Sink Version)" brand: "waypondev" price: "117.73 DT" currency: TND in_stock: false reviews_count: 4 url: https://www.desertcart.tn/products/724661008-jetson-nano-4gb-ram-16g-emmc-onboard-for-ai-robotics store_origin: TN region: Tunisia --- # 128-core NVIDIA Maxwell GPU 16GB eMMC onboard storage Ultra low 5W power consumption Jetson Nano 4GB RAM 16G eMMC onboard for AI Robotics Machine Learning (Heat Sink Version) **Brand:** waypondev **Price:** 117.73 DT **Availability:** ❌ Out of Stock ## Summary > 🤖 Unlock Next-Gen AI Innovation with Jetson Nano SUB Kit – Power, Speed & Simplicity in One! ## Quick Answers - **What is this?** Jetson Nano 4GB RAM 16G eMMC onboard for AI Robotics Machine Learning (Heat Sink Version) by waypondev - **How much does it cost?** 117.73 DT with free shipping - **Is it available?** Currently out of stock - **Where can I buy it?** [www.desertcart.tn](https://www.desertcart.tn/products/724661008-jetson-nano-4gb-ram-16g-emmc-onboard-for-ai-robotics) ## Best For - waypondev enthusiasts ## Why This Product - Trusted waypondev brand quality - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Key Features - • **Power-Smart Innovation:** Consumes as little as 5 watts, perfect for energy-conscious developers building scalable embedded AI solutions. - • **Plug & Play Versatility:** Multiple I/O options including USB 3.0, Gigabit Ethernet, GPIO, and MIPI CSI-2 for diverse sensor and device connectivity. - • **Effortless AI Development:** Supported by JetPack SDK with CUDA, cuDNN & TensorRT for seamless AI framework integration and rapid prototyping. - • **AI Powerhouse in Your Hands:** Harness the 128-core NVIDIA Maxwell GPU for blazing-fast AI inferencing and multimedia processing. - • **Boot Instantly, No TF Card Needed:** 16GB eMMC onboard storage means zero hassle—start your projects immediately without external cards. ## Overview The WayPonDEV Jetson Nano 4GB SUB Kit is a compact, energy-efficient AI developer board featuring a 128-core NVIDIA Maxwell GPU, quad-core ARM CPU, and 16GB onboard eMMC storage for instant boot-up without a TF card. It supports multiple AI frameworks via JetPack SDK, offers extensive I/O options, and consumes just 5 watts, making it ideal for embedded AI, robotics, and IoT projects. ## Description -Overview-The Jetson Nano 4GB Developer Kit (Official Demo) and theJetson Nano 4GB Developer Kit (SUB) have the same computing performance, on board resources, size, andinterface layout.The only difference is that the sUB versioncomes with 16GEMMC storage, and it can be easily and quicklystarted without a TF card.Jetson Nano SUB Kit Nano enables the development of millions of new small, low-power AI systems. It opens new worlds of embedded IoT applications, including entry-level Network Video Recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.-Specification-GPU: 128-core NVIDIA MaxwellCPU: Quad-core ARM A57 @ 1.43 GHzMemory: 4 GB 64-bit LPDDR4 25.6 GB/sStorage: 16GB eMMCVideo Encode: 4Kp @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)Video Decode: 4Kp @ 60 | 2x 4Kp @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265)Camera: 2x MIPI CSI-2 DPHY lanesConnectivity: Gigabit Ethernet, M.2 Key EDisplay: HDMI 2.0 and eDP 1.4USB: 4x USB 3.0, USB 2.0 Micro-BOthers: GPIO, I2C, I2S, SPI, UARTPower Options: >Micro-USB 5V 2A, DC Power Adapter 5V 4ADimensions: 100 mm x 80 mm x 29 mm-In the Box-1 x Jetson Nano Module with Cooling Fan and Reference Carrier Board (SUB Kit Nano)1 x 5V 4A Power Supply-Tech-support--Tech-Team- monica#smartfire.cn (#----->@) Review: Tons of problem. A giant waste of time! - Tons of problems. A giant waste of time! Icould not find a REAL B01 from Nvidia, so I bought this one, a clone. It's a mistake! I am not a novice and can find my way around, but this product is totally hopeless! It only can use Ubuntu 18.04! I started out with Ubuntu 22.04, then 20.04, but had to go back all the way to 18.04 (had to buy 2 500GB SSD to do this! ) Then there is not enough storage on the eMMc to do anything! Can't get it to expand to the 512GB SD card I use! During all this struggle, the eMMc got corrupted and I spent tons of time trying to get inside the eMMc to debug/flash it! No luck! The Nvidia SDK cannot see the Nano board! Don't even try what I did. The vendor has zero support. All wiki/on line suggestions are worthless. I was lucky I could return it just before running out of time. Review: Buy the name brand for this - Bought a Chinese knock off first and had problems. Must have some understanding of how to update to JetPack 6 to make this operate. So buy the NVIDA as there is good online documentation. No support given from the Chinese company. ## 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 from the official version is that WayPonDEV Jetson Nano 4GB SUB Kit comes with 16G-eMMC memory，which can boot the board without a TF card. And it also has a TF card slot, as well as you can use USB 3.0 U disk to expand the memory. - [Multiple AI framework]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. - [Low-Consumption]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. - [JetPack Supported]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. - [Easy to Use N-V-I-DIA Official AI Software]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. - [In the Box]1 x Jetson Nano Module with Heat Sink;1xReference Carrier Board (SUB Kit Nano); 1x 5V-4A Power Supply. Should you have questions,you can click ''WayPonDEV'' and ask a question or contact us by wpd#youyeetoo.com (#------>@) ## Technical Specifications | Specification | Value | |---------------|-------| | ASIN | B0B8DMPWJL | | Box Contents | 1 x Jetson Nano Module with Cooling Fan and Reference Carrier Board (SUB Kit Nano), 1 x 5V 4A Power Supply | | Brand | WayPonDEV | | Brand Name | WayPonDEV | | CPU speed | 1.43 GHz | | Connectivity technology | Ethernet | | Customer Reviews | 2.9 out of 5 stars 7 Reviews | | Item Dimensions L x W x H | 10L x 8W x 2.9H centimetres | | Manufacturer | WayPonDEV | | Manufacturer Part Number | Jetson Nano 4GB Developer Kit | | Memory Storage Capacity | 16 GB | | Memory storage capacity | 16 GB | | Model Name | Jetson Nano 4GB Sub Kit Nano Developer Kit (Not the Official Version) | | Model Number | Jetson Nano 4GB Developer Kit | | Model name | Jetson Nano 4GB Sub Kit Nano Developer Kit (Not the Official Version) | | Network Connectivity Technology | Ethernet | | Operating System | Linux | | Processor Brand | ARM | | Processor Count | 4 | | Processor Speed | 1.43 GHz | | RAM Memory Installed | 4 GB | | RAM Memory Technology | LPDDR4 | | RAM memory installed size | 4 GB | | Total USB Ports | 5 | | Wireless Compability | 802.11b | ## Product Details - **Brand:** WayPonDEV - **CPU speed:** 1.43 GHz - **Memory storage capacity:** 16 GB - **Model name:** Jetson Nano 4GB Sub Kit Nano Developer Kit (Not the Official Version) - **RAM memory installed size:** 4 GB ## Images ![Jetson Nano 4GB RAM 16G eMMC onboard for AI Robotics Machine Learning (Heat Sink Version) - Image 1](https://m.media-amazon.com/images/I/71Aav0GZEBL.jpg) ![Jetson Nano 4GB RAM 16G eMMC onboard for AI Robotics Machine Learning (Heat Sink Version) - Image 2](https://m.media-amazon.com/images/I/71QiN3saeFL.jpg) ![Jetson Nano 4GB RAM 16G eMMC onboard for AI Robotics Machine Learning (Heat Sink Version) - Image 3](https://m.media-amazon.com/images/I/71WA4FU+MyL.jpg) ![Jetson Nano 4GB RAM 16G eMMC onboard for AI Robotics Machine Learning (Heat Sink Version) - Image 4](https://m.media-amazon.com/images/I/81lw5bK5h4L.jpg) ![Jetson Nano 4GB RAM 16G eMMC onboard for AI Robotics Machine Learning (Heat Sink Version) - Image 5](https://m.media-amazon.com/images/I/71E1TMuuQPL.jpg) ## Customer Reviews ### ⭐ Tons of problem. A giant waste of time! *by L***I on 25 April 2025* Tons of problems. A giant waste of time! Icould not find a REAL B01 from Nvidia, so I bought this one, a clone. It's a mistake! I am not a novice and can find my way around, but this product is totally hopeless! It only can use Ubuntu 18.04! I started out with Ubuntu 22.04, then 20.04, but had to go back all the way to 18.04 (had to buy 2 500GB SSD to do this! ) Then there is not enough storage on the eMMc to do anything! Can't get it to expand to the 512GB SD card I use! During all this struggle, the eMMc got corrupted and I spent tons of time trying to get inside the eMMc to debug/flash it! No luck! The Nvidia SDK cannot see the Nano board! Don't even try what I did. The vendor has zero support. All wiki/on line suggestions are worthless. I was lucky I could return it just before running out of time. ### ⭐⭐⭐⭐⭐ Buy the name brand for this *by K***R on 16 September 2024* Bought a Chinese knock off first and had problems. Must have some understanding of how to update to JetPack 6 to make this operate. So buy the NVIDA as there is good online documentation. No support given from the Chinese company. ### ⭐⭐⭐ It does have a problem when updating and also have the problem with booting from the SD card. *by T***Z on 27 January 2025* It does have a problem when updating and also have the problem with booting from the SD card. It doesn't have any clear instruction or manual inside. I first update the system and install some packages, but then it has problem after rebooting. I'm afraid the onboard eMMC storage/filesystem is corrupted. The suggested solution I googled says the eMMC should be reflashed. But the situation is I don't have Linux host available except for vm-linux. It doesn't look working. Now the booting gets stuck at somewhere around "Bridge firewalling registered". I tried to jump in bootloader stage to change the env variable, but it doesn't provide such the capability. The experience is so bad considering it's of Nvidia product. My initial feeling is Nvidia or this vendor doesn't consider the eMMC storage running-out situation and might go through some update during or after rebooting, then it causes the problem and cannot go back to previous good base point. Ted ## Frequently Bought Together - Jetson Nano 4GB RAM 16G eMMC onboard for AI Robotics Machine Learning (Heat Sink Version) - Wireless-AC8265 Dual Mode AC8265 Wireless NIC Module for Jetson Nano Developer Kit M.2 NGFF Support 2.4GHz / 5GHz 300Mbps / 867Mbps Dual Band WiFi and Bluetooth 4.2 - Yahboom Jetson Case for Jetson Nano Orin Nano Orin NX Super Heat Metal Mini Protect Case with Cooling Fan Antenna RGB Light(OLED Needs Program Drive) --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.tn/products/724661008-jetson-nano-4gb-ram-16g-emmc-onboard-for-ai-robotics](https://www.desertcart.tn/products/724661008-jetson-nano-4gb-ram-16g-emmc-onboard-for-ai-robotics) --- *Product available on Desertcart Tunisia* *Store origin: TN* *Last updated: 2026-06-23*