---
product_id: 232762226
title: "NVIDIA Jetson Nano 2GB Developer Kit (945-13541-0000-000)"
brand: "nvidia"
price: "₨9443"
currency: SCR
in_stock: false
reviews_count: 13
url: https://www.desertcart.sc/products/232762226-nvidia-jetson-nano-2gb-developer-kit-945-13541-0000-000
store_origin: SC
region: Seychelles
---

# Quad-core ARM CPU @ 1.43 GHz GPU-accelerated CUDA-X software stack 2GB DDR4 RAM for smooth AI workloads NVIDIA Jetson Nano 2GB Developer Kit (945-13541-0000-000)

**Brand:** nvidia
**Price:** ₨9443
**Availability:** ❌ Out of Stock

## Summary

> 🤖 Unlock the future of AI & robotics — small device, giant leap!

## Quick Answers

- **What is this?** NVIDIA Jetson Nano 2GB Developer Kit (945-13541-0000-000) by nvidia
- **How much does it cost?** ₨9443 with free shipping
- **Is it available?** Currently out of stock
- **Where can I buy it?** [www.desertcart.sc](https://www.desertcart.sc/products/232762226-nvidia-jetson-nano-2gb-developer-kit-945-13541-0000-000)

## 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

- • **Edge AI Powerhouse:** Harness quad-core ARM and integrated GPU for real-time AI processing at the edge.
- • **Compact & Efficient:** Small form factor with low power consumption, perfect for on-the-go prototyping and deployment.
- • **Developer-Ready Ecosystem:** Access NVIDIA JetPack with CUDA-X tools and Linux environment for seamless AI & robotics development.
- • **Community-Driven Innovation:** Join thousands of developers sharing open-source projects, tutorials, and robotics platforms like JetBot.
- • **Docker-Optimized Performance:** Leverage containerization support to run complex AI models effortlessly with NVIDIA’s pre-configured ML containers.

## Overview

The NVIDIA Jetson Nano 2GB Developer Kit is a compact, affordable AI development platform featuring a quad-core ARM CPU, 2GB DDR4 RAM, and GPU-accelerated CUDA-X software stack. Designed for educators, students, and embedded engineers, it supports real-time AI and robotics projects with a rich ecosystem including NVIDIA JetPack, Linux, and Docker. Ideal for hands-on learning and professional-grade edge AI applications.

## Description

"Discover the power of AI and robotics with NVIDIA Jetson Nano 2GB Developer Kit. It's small, powerful, and priced for everyone. This means educators, students, and other enthusiasts can now easily create projects with fast and efficient AI using the entire GPU-accelerated NVIDIA software stack.Learning by doing is key for anyone new to AI and robotics, and the Jetson Nano 2GB Developer Kit is ideal for hands-on teaching and learning. Unlike online-only learning, you'll see your work on the developer kit perceive and interact with the world around you in real time.Thousands of Jetson Nano developers actively contribute videos, how-tos, and open-source projects in addition to the free and comprehensive tutorials offered by NVIDIA. These start with an introductory ""Hello AI World,"" continue to robotics projects such as the open-source NVIDIA JetBot AI robot platform, and lead to the next level of robotics development with NVIDIA Isaac.All these resources are enabled by NVIDIA JetPack, which brings to each Jetson developer the same CUDA-X software and tools used by professionals around the world. JetPack includes a familiar Linux environment and simplifies the development process with support for cloud-native technologies such as containerization and orchestration.The Jetson Nano 2GB Developer Kit delivers incredible AI performance at a low price. It makes the world of AI and robotics accessible to everyone with the exact same software and tools used to create breakthrough AI products across all industries. There's no better way to start."

Review: This is one amazing edge device for so little cost - I use this to process deep learning models at the edge. It worked out of the box with an iPod power supply. I quickly discovered that a fan was a key requirement to avoid throttling the CPU speeds as the temperature rose. I chose the Noctua NF-A 4x20 PWM fan, silent and effective. The heat sink in the Nano used to be too hot to touch, but it runs cool and fast even with the Nvidia bubble demo app. (cd /usr/src/nvidia/graphics_demos/bubble/ & make clean & make & ./x11/bubble). No throttle. Also love the docker support. I use this one: (sudo docker pull nvcr.io/nvidia/l4t-ml:r32.5.0-py3 & sudo docker run -it --rm --volume ~/nvdli-data:/nvdli-nano/data --runtime nvidia --network host nvcr.io/nvidia/l4t-ml:r32.5.0-py3 ) it has all I need and is preset to use the 100 cores to maximize performance. Truly amazing little computer.
Review: Cheap, powerful, not for the novice - This is not a competitor to the Raspberry Pi. Don't expect it to be friendly to the novice user. If you are not an embedded engineer, this is probably not the board for you. If you are, however, it offers a lot of FPU per unit dollar, and glsl/cuda just works, right out of the box, without having to do any of the weird jury-rigged routines you need to get that kind of functionality on Raspberry. If you need to do serious graphics or AI work on a small board, buy this. If you just need a small board with embedded linux, and lots of aftermarket support, buy a Raspberry.

## Features

- Discover The Power Of Ai And Robotics With Nvidia Jetson Nano 2Gb Developer Kit. It’S Small, Powerful, And Priced For Everyone. This Means Educators, Students, And Other Enthusiasts Can Now Easily Create Projects With Fast And Efficient Ai Using The Entire Gpu-Accelerated Nvidia Software Stack.
- Learning By Doing Is Key For Anyone New To Ai And Robotics, And The Jetson Nano 2Gb Developer Kit Is Ideal For Hands-On Teaching And Learning. Unlike Online-Only Learning, You’Ll See Your Work On The Developer Kit Perceive And Interact With The World Around You In Real Time.
- Thousands Of Jetson Nano Developers Actively Contribute Videos, How-Tos, And Open-Source Projects In Addition To The Free And Comprehensive Tutorials Offered By Nvidia. These Start With An Introductory “Hello Ai World,” Continue To Robotics Projects Such As The Open-Source Nvidia Jetbot Ai Robot Platform, And Lead To The Next Level Of Robotics Development With Nvidia Isaac.
- All These Resources Are Enabled By Nvidia Jetpack, Which Brings To Each Jetson Developer The Same Cuda-X Software And Tools Used By Professionals Around The World. Jetpack Includes A Familiar Linux Environment And Simplifies The Development Process With Support For Cloud-Native Technologies Such As Containerization And Orchestration.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN | B08J157LHH |
| Best Sellers Rank | #12,127 in Single Board Computers (Computers & Accessories) |
| Brand | NVIDIA |
| Card Description | Integrated |
| Chipset Brand | NVIDIA |
| Computer Memory Type | DDR4 SDRAM |
| Customer Reviews | 4.3 4.3 out of 5 stars (467) |
| Date First Available | October 5, 2020 |
| Graphics Coprocessor | Integrated Graphics |
| Hard Drive | SSD |
| Hard Drive Interface | Solid State |
| Hard Drive Rotational Speed | 0.01 |
| Item Weight | 7.7 ounces |
| Item model number | 945-13541-0000-000 |
| Max Screen Resolution | 3840x2160 |
| Memory Speed | 3000 MHz |
| Number of Processors | 4 |
| Operating System | Barebones |
| Package Dimensions | 6.42 x 4.25 x 1.65 inches |
| Processor | none |
| Processor Brand | ARM |
| RAM | 2 GB DDR4 |
| Screen Resolution | 3840 x 2160 |
| Series | 945-13541-0000-000 |
| Standing screen display size | 0.01 |
| Wireless Type | Bluetooth |

## Product Details

- **Brand:** NVIDIA
- **CPU Model:** None
- **Graphics Card Description:** Integrated
- **Graphics Coprocessor:** Integrated Graphics
- **Memory Storage Capacity:** 2 GB
- **Operating System:** Barebones
- **Personal computer design type:** Mini PC
- **Ram Memory Installed Size:** 2 GB
- **Screen Size:** 0.01
- **Specific Uses For Product:** Business, Developer, Gaming

## Images

![NVIDIA Jetson Nano 2GB Developer Kit (945-13541-0000-000) - Image 1](https://m.media-amazon.com/images/I/7143lurIrJL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ This is one amazing edge device for so little cost
*by P***S on May 1, 2021*

I use this to process deep learning models at the edge. It worked out of the box with an iPod power supply. I quickly discovered that a fan was a key requirement to avoid throttling the CPU speeds as the temperature rose. I chose the Noctua NF-A 4x20 PWM fan, silent and effective. The heat sink in the Nano used to be too hot to touch, but it runs cool and fast even with the Nvidia bubble demo app. (cd /usr/src/nvidia/graphics_demos/bubble/ & make clean & make & ./x11/bubble). No throttle. Also love the docker support. I use this one: (sudo docker pull nvcr.io/nvidia/l4t-ml:r32.5.0-py3 & sudo docker run -it --rm --volume ~/nvdli-data:/nvdli-nano/data --runtime nvidia --network host nvcr.io/nvidia/l4t-ml:r32.5.0-py3 ) it has all I need and is preset to use the 100 cores to maximize performance. Truly amazing little computer.

### ⭐⭐⭐⭐⭐ Cheap, powerful, not for the novice
*by P***S on February 2, 2021*

This is not a competitor to the Raspberry Pi. Don't expect it to be friendly to the novice user. If you are not an embedded engineer, this is probably not the board for you. If you are, however, it offers a lot of FPU per unit dollar, and glsl/cuda just works, right out of the box, without having to do any of the weird jury-rigged routines you need to get that kind of functionality on Raspberry. If you need to do serious graphics or AI work on a small board, buy this. If you just need a small board with embedded linux, and lots of aftermarket support, buy a Raspberry.

### ⭐⭐⭐⭐⭐ Functional little device
*by P***. on May 31, 2021*

The 2 GB version may not be of any value for machine learning but it is great for other things. It works a direct play plex server. It can't transcode over CPU or GPU on plex, but can transcode on GPU with a very specific and modified FFMPEG version. It can also play some java edition minecraft. Not at great settings but still something. As a traditional desktop, it is not great. Most developer tools are not made ARM friendly so you'd have to make stuff from scratch. Still, better than PI and very fun. Does require a power cable and a fan or it will burn up...

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*Product available on Desertcart Seychelles*
*Store origin: SC*
*Last updated: 2026-02-18*