--- product_id: 183493577 title: "NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)" brand: "nvidia" price: "AR$40639" currency: ARS in_stock: true reviews_count: 13 url: https://www.desertcart.com.ar/products/183493577-nvidia-jetson-nano-developer-kit-945-13450-0000-100 store_origin: AR region: Argentina --- # 5W ultra-low power draw Extensive GPIO & CSI I/O 128-core Maxwell GPU for AI NVIDIA Jetson Nano Developer Kit (945-13450-0000-100) **Brand:** nvidia **Price:** AR$40639 **Availability:** βœ… In Stock ## Summary > πŸš€ Power your AI dreams with NVIDIA Jetson Nano β€” small board, giant leaps! ## Quick Answers - **What is this?** NVIDIA Jetson Nano Developer Kit (945-13450-0000-100) by nvidia - **How much does it cost?** AR$40639 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.com.ar](https://www.desertcart.com.ar/products/183493577-nvidia-jetson-nano-developer-kit-945-13450-0000-100) ## Best For - nvidia enthusiasts ## Why This Product - Trusted nvidia brand quality - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Key Features - β€’ **Plug & Play AI Development:** Easy-to-flash SD card with NVIDIA JetPack SDK accelerates your AI software deployment and reduces setup time. - β€’ **Unmatched Power Efficiency:** Consumes as little as 5 watts, letting you build always-on AI projects without breaking the energy bank. - β€’ **Proven NVIDIA Ecosystem Support:** Leverage CUDA, cuDNN, and TensorRT libraries for optimized deep learning and computer vision workflows. - β€’ **AI Powerhouse in a Compact Board:** Run cutting-edge AI models with a 128-core GPU and 4-core ARM CPU, perfect for image, speech, and sensor processing. - β€’ **Versatile Connectivity for Makers:** Multiple GPIO pins, USB, and dual camera interfaces enable seamless integration with sensors and peripherals. ## Overview The NVIDIA Jetson Nano Developer Kit is a compact, power-efficient AI development platform featuring a 128-core Maxwell GPU and 4-core ARM CPU. It supports extensive I/O options including GPIO and dual camera interfaces, runs on as little as 5 watts, and comes preloaded with NVIDIA's JetPack SDK for seamless AI software development. Ideal for professionals and makers aiming to deploy advanced AI applications in robotics, computer vision, and edge computing. ## Description NVIDIA Jetson Nano Development Kit - Jetson Nano Developer Kit, Maxwell GPU w/128 Cores, 4-Core ARM A57 CPU, 4 GB 64-Bit LPDDR4 Review: Perfect platform for AI/ML for CUDA leaning tasks - Jetson Nano is great for not only robotics/edge AI, you can use ML for science usage such as medical imaging or environmental data to speed up your workflow. From personal experience even an underclocked dual-core power save mode on the Jetson Nano will still be faster on CUDA AI/ML tasks than a Raspberry Pi 4, however your workflow may vary. If you use AI/ML that isn't optimized for CUDA, in some cases a Pi 4 raw CPU compute can edge out the Nano. I would say if you pair a Pi 4 with any AI/ML accelerator it'll cost more than a Jetson Nano and your mileage is still going to vary. Depending upon how you use a Jetson Nano, for robotics/automation you can actually run four cameras via USB and use the camera interface. Performance wise if you do opt to run a Jetson Nano using USB power, your mileage is going to vary as not all USB power adapters provide a stable voltage which means checking the specs--I reused a Canakit USB power adapter from a retired Pi 3 and never had any voltage warnings but if you plan to run a Jetson Nano hard like a Pi 4 you'll want to use the barrel power adapter for extra power stability when using multiple USB devices+GPIO. Thermal wise I've compared a fanless vs fan equipped Jetson Nano, even under sustained load the heatsink size prevents it from thermal throttling too much. This B01 version has two camera connectors which is geared for stereo imaging however you can run two cameras at a small performance loss and also fixed the networking issue which occurred on the original Jetson Nano A01/A02. From a performance per watt/dollar ratio, if you're going to dive deeper into AI/ML a Jetson NX is more ideal. With a Jetson Nano if you're pushing four cameras and LIDAR it'll require a bit of tweaking to get optimal performance and still remain at about 3.5GB of memory usage. Review: good quality - Very good shipping, everything arrived well, and the quality of the board is very good, as well as the efficiency to process ML algorithms ## Features - The NVIDIA Jetson Nano Developer Kit 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. And it is incredibly power-efficient, consuming as little as 5 watts. - Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA 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 NVIDIA Jetson family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers. ## Technical Specifications | Specification | Value | |---------------|-------| | ASIN | B084DSDDLT | | Brand | NVIDIA | | Compatible Devices | Desktop | | Connectivity Technology | GPIO, USB | | Customer Reviews | 4.5 out of 5 stars 631 Reviews | | Global Trade Identification Number | 00812674024356 | | Item Dimensions L x W x H | 2.72"L x 1.77"W x 1.77"H | | Item Weight | 241 Grams | | Manufacturer | NVIDIA Corporation | | Memory Storage Capacity | 4 GB | | Mfr Part Number | 945-13450-0000-100 | | Model Name | 945-13450-0000-100 | | Model Number | 945-13450-0000-100 | | Operating System | Linux | | Processor Brand | NVIDIA | | Processor Count | 4 | | RAM Memory Installed | 2048 MB | | RAM Memory Technology | LPDDR4 | | Ram Memory Installed Size | 2048 MB | | Total Usb Ports | 1 | | UPC | 812674024356 | | Warranty Description | 1 year manufacturer | | Wireless Compability | Bluetooth | ## Product Details - **Brand:** NVIDIA - **Connectivity Technology:** GPIO, USB - **Memory Storage Capacity:** 4 GB - **Model Name:** 945-13450-0000-100 - **Ram Memory Installed Size:** 2048 MB ## Images ![NVIDIA Jetson Nano Developer Kit (945-13450-0000-100) - Image 1](https://m.media-amazon.com/images/I/71alMFID+vL.jpg) ![NVIDIA Jetson Nano Developer Kit (945-13450-0000-100) - Image 2](https://m.media-amazon.com/images/I/716MCyFGt6L.jpg) ![NVIDIA Jetson Nano Developer Kit (945-13450-0000-100) - Image 3](https://m.media-amazon.com/images/I/71x242l125L.jpg) ![NVIDIA Jetson Nano Developer Kit (945-13450-0000-100) - Image 4](https://m.media-amazon.com/images/I/51-ivWWee6L.jpg) ## Questions & Answers **Q: Is the way to upgrade ram to use this device for model training?** A: No. This is a single board computer. The RAM is soldered on. If you need more than 4GB (this model), then you would need to find a different Jetson development board with more RAM. The Xavier, AGX, and TX2 models have between 8GB and 32GB of RAM. Anything past that, you're looking at full sized computers. **Q: If it possible to run python code using this device?** A: Sure, it runs full sized ubuntu linux on ARM. you can run even run tf/pytorch through python since it is based on tegra and has cuda compatible gpu cores **Q: This product has the part number for B01, but the imagery of an earlier version. Which is it?** A: Yes,it's B01 version. **Q: Does this item comes with any warranty?** A: Yes, 1 year on developer kits from NVIDIA ## Customer Reviews ### ⭐⭐⭐⭐⭐ Perfect platform for AI/ML for CUDA leaning tasks *by S***E on April 12, 2021* Jetson Nano is great for not only robotics/edge AI, you can use ML for science usage such as medical imaging or environmental data to speed up your workflow. From personal experience even an underclocked dual-core power save mode on the Jetson Nano will still be faster on CUDA AI/ML tasks than a Raspberry Pi 4, however your workflow may vary. If you use AI/ML that isn't optimized for CUDA, in some cases a Pi 4 raw CPU compute can edge out the Nano. I would say if you pair a Pi 4 with any AI/ML accelerator it'll cost more than a Jetson Nano and your mileage is still going to vary. Depending upon how you use a Jetson Nano, for robotics/automation you can actually run four cameras via USB and use the camera interface. Performance wise if you do opt to run a Jetson Nano using USB power, your mileage is going to vary as not all USB power adapters provide a stable voltage which means checking the specs--I reused a Canakit USB power adapter from a retired Pi 3 and never had any voltage warnings but if you plan to run a Jetson Nano hard like a Pi 4 you'll want to use the barrel power adapter for extra power stability when using multiple USB devices+GPIO. Thermal wise I've compared a fanless vs fan equipped Jetson Nano, even under sustained load the heatsink size prevents it from thermal throttling too much. This B01 version has two camera connectors which is geared for stereo imaging however you can run two cameras at a small performance loss and also fixed the networking issue which occurred on the original Jetson Nano A01/A02. From a performance per watt/dollar ratio, if you're going to dive deeper into AI/ML a Jetson NX is more ideal. With a Jetson Nano if you're pushing four cameras and LIDAR it'll require a bit of tweaking to get optimal performance and still remain at about 3.5GB of memory usage. ### ⭐⭐⭐⭐⭐ good quality *by J***Z on October 1, 2024* Very good shipping, everything arrived well, and the quality of the board is very good, as well as the efficiency to process ML algorithms ### ⭐⭐⭐⭐⭐ Better than your Pi! *by M***D on February 22, 2021* This board wipes the floor with the best of the Raspberry Pi's. It's so responsive and performant. It does not get stuttery at medium use like the Pi does. You can actually play a YouTube video on it and forget it's an embedded computer. The built-in heat sink is sufficient for all CPU usage, but if you plan to work that GPU out with heavy ML you need a fan. ## Frequently Bought Together - NVIDIA Jetson Nano Developer Kit (945-13450-0000-100) - 5V 4A Power Supply Adapter - COOLM AC 100-240V to DC 5V/4A 20W Charger Plug DC 5.5mm x 2.5mm Universal for Atomic Pi, Jetson Nano, USB Hub, WeBoost 850012 Connect RV 65 RV65, Odroid XU4 / XU4Q - Waveshare AC8265 Wireless NIC Module for Jetson Orin Nano/NX Supports 2.4GHz / 5GHz Dual Band WiFi and Bluetoth 4.2 --- ## Why Shop on Desertcart? - πŸ›’ **Trusted by 1.3+ Million Shoppers** β€” Serving international shoppers since 2016 - 🌍 **Shop Globally** β€” Access 737+ million products across 21 categories - πŸ’° **No Hidden Fees** β€” All customs, duties, and taxes included in the price - πŸ”„ **15-Day Free Returns** β€” Hassle-free returns (30 days for PRO members) - πŸ”’ **Secure Payments** β€” Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** β€” Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.com.ar/products/183493577-nvidia-jetson-nano-developer-kit-945-13450-0000-100](https://www.desertcart.com.ar/products/183493577-nvidia-jetson-nano-developer-kit-945-13450-0000-100) --- *Product available on Desertcart Argentina* *Store origin: AR* *Last updated: 2026-05-24*