--- product_id: 594198730 title: "WayPonDEV Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning" brand: "waypondev" price: "NT$184" currency: TWD in_stock: false url: https://www.desertcart.tw/products/594198730-waypondev-jetson-nano-developer-kit-16g-emmc-onboard-for-ai store_origin: TW region: Taiwan --- # 5W ultra-low power draw 16GB onboard eMMC storage 4x USB 3.0 ports for fast expansion WayPonDEV Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning **Brand:** waypondev **Price:** NT$184 **Availability:** ❌ Out of Stock ## Summary > 🤖 Power your AI dreams with the Jetson Nano SUB Kit—small board, giant impact! ## Quick Answers - **What is this?** WayPonDEV Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning by waypondev - **How much does it cost?** NT$184 with free shipping - **Is it available?** Currently out of stock - **Where can I buy it?** [www.desertcart.tw](https://www.desertcart.tw/products/594198730-waypondev-jetson-nano-developer-kit-16g-emmc-onboard-for-ai) ## 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 - • **Plug & Play AI Powerhouse:** Boot instantly with 16GB eMMC—no TF card needed, jumpstart your AI projects faster than ever. - • **Compact Yet Mighty Compute:** Quad-core ARM A57 CPU + 128-core Maxwell GPU deliver desktop-grade AI performance in a palm-sized board. - • **Energy-Efficient Innovation:** Consumes as little as 5 watts—perfect for always-on AI applications without the power guilt. - • **Versatile Connectivity Suite:** Gigabit Ethernet, HDMI 2.0, MIPI CSI-2 cameras, and GPIO pins let you build anything from smart robots to IoT gateways. - • **Seamless Developer Experience:** Supported by JetPack SDK with CUDA, cuDNN & TensorRT—industry-standard AI tools ready out-of-the-box. ## Overview The WayPonDEV Jetson Nano SUB Kit Nano is a compact AI developer board featuring a 4-core ARM Cortex A57 CPU, 128-core Maxwell GPU, 4GB LPDDR4 RAM, and 16GB eMMC storage for instant boot. It supports multiple AI workloads including image classification and speech processing, with extensive I/O options like USB 3.0, HDMI 2.0, and MIPI CSI-2 cameras. Powered efficiently at just 5 watts and backed by NVIDIA’s JetPack SDK, it’s designed for professionals and makers aiming to build cutting-edge embedded AI systems. ## Description Buy WayPonDEV Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning online on desertcart.ae at best prices. ✓ Fast and free shipping ✓ free returns ✓ cash on delivery available on eligible purchase. ## Technical Specifications | Specification | Value | |---------------|-------| | ASIN | B09Y94MGRZ | | Brand | WayPonDEV | | Built-In Media | 1 x Jetson Nano Module with Cooling Fan and Reference Carrier Board | | CPU Model | ARMv7 | | CPU model | ARMv7 | | CPU speed | 1.43 GHz | | 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) | | Connectivity Technology | Ethernet | | Customer Reviews | 3.4 out of 5 stars 18 Reviews | | Installed RAM memory size | 4 GB | | Item Dimensions L x W x H | 10L x 8W x 2.9H centimeters | | Manufacturer | WayPonDEV | | Memory Storage Capacity | 16 GB | | Memory storage capacity | 16 GB | | Mfr Part Number | Jetson Nano 4GB SUB Kit Nano | | Model Name | Jetson Nano SUB Kit Nano Developer Kit (Not Official N-VI-DA Version) | | Model Number | Jetson Nano 4GB SUB Kit Nano | | Model name | Jetson Nano SUB Kit Nano Developer Kit (Not Official N-VI-DA Version) | | Operating System | Linux, Ubuntu | | Processor Brand | Arm Cortex A57 | | Processor Count | 4 | | Processor Speed | 1.43 GHz | | RAM Memory Installed | 4 GB | | RAM Memory Technology | LPDDR4 | | Total Usb Ports | 4 | | Wireless Compability | 802.11b | ## Product Details - **Brand:** WayPonDEV - **CPU model:** ARMv7 - **Installed RAM memory size:** 4 GB - **Memory storage capacity:** 16 GB - **Model name:** Jetson Nano SUB Kit Nano Developer Kit (Not Official N-VI-DA Version) ## Images ![WayPonDEV Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning - Image 1](https://m.media-amazon.com/images/I/71M3l+fDvVL.jpg) ![WayPonDEV Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning - Image 2](https://m.media-amazon.com/images/I/81lw5bK5h4L.jpg) ![WayPonDEV Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning - Image 3](https://m.media-amazon.com/images/I/71lbXUm22LL.jpg) ![WayPonDEV Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning - Image 4](https://m.media-amazon.com/images/I/71WA4FU+MyL.jpg) ![WayPonDEV Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning - Image 5](https://m.media-amazon.com/images/I/61hiGnBCTyL.jpg) ## Frequently Bought Together - Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning - Waveshare Aluminum Alloy Case for Jetson Orin, with Camera Holder, Mini-Computer Case, Compatible with Jetson Orin Nano Super Developer Kit/Orin Nano and Jetson Orin NX Kits - Compatible with NVIDIA Jetson Nano Camera IMX219-160 8-Megapixels Camera Module 3280 × 2464 Resolution 160 Degree Wide Angle of View with IMX219 Sensor --- ## 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.tw/products/594198730-waypondev-jetson-nano-developer-kit-16g-emmc-onboard-for-ai](https://www.desertcart.tw/products/594198730-waypondev-jetson-nano-developer-kit-16g-emmc-onboard-for-ai) --- *Product available on Desertcart Taiwan* *Store origin: TW* *Last updated: 2026-08-19*