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NVIDIA Jetson Nano

NVIDIA Jetson Nano

A small, powerful AI computer for makers, learners, and embedded developers.

hardwareARM Single-Board ComputersAIEdge ComputingRobotics
Our Verdict

Best for

Hobbyists and students building affordable edge AI and robotics projects.

Skip if

You need high onboard memory or guaranteed long-term device availability.

What is NVIDIA Jetson Nano?

The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads in a small, power-efficient form factor. It brings the power of modern artificial intelligence to edge devices, empowering developers to build autonomous machines and smart devices. Equipped with a 128-core Maxwell GPU and a quad-core ARM CPU, it supports high-resolution sensors and processes multiple neural networks concurrently. Backed by the comprehensive Jetson software stack, it streamlines the development and deployment of advanced robotics and IoT applications.

SpecificationsAI-estimated

msrp$99
weight140g
warranty1 year
dimensions100 mm x 80 mm x 29 mm
open sourceโŒ No
connectivityGigabit Ethernet, M.2 Key E (for wireless), USB 3.0, USB 2.0
power sourceAC Powered

Key Features of NVIDIA Jetson Nano

Delivers 47 GFLOPS of computing performance for running modern AI workloads efficiently at the edge.
Features a 128-core NVIDIA Maxwell GPU capable of parallel processing for computer vision and deep learning tasks.
Powered by a quad-core ARM Cortex-A57 processor providing reliable compute for embedded applications.
Supports multiple high-resolution camera interfaces via MIPI CSI-2 for advanced computer vision projects.
Runs the complete NVIDIA JetPack SDK, providing developers with libraries for deep learning, computer vision, and graphics.
Consumes as little as 5 watts of power, making it ideal for battery-operated autonomous robots and mobile devices.
Provides standard GPIO headers, USB 3.0, HDMI, and Gigabit Ethernet ports for flexible peripheral connectivity.

Use Cases for NVIDIA Jetson Nano

1

Autonomous Robots

Powers small mobile robots for real-time navigation, object detection, and obstacle avoidance.

2

Smart Video Analytics

Processes multiple video streams simultaneously for intelligent surveillance and object tracking.

3

AI Education

Serves as an affordable hands-on learning platform for students and educators exploring machine learning.

4

IoT Edge Gateways

Acts as a smart gateway to collect, process, and analyze sensor data locally before cloud transmission.

Pros & Cons of NVIDIA Jetson Nano

Pros

  • Affordable entry point for edge AI development
  • Comprehensive software stack via JetPack SDK
  • Compact form factor with versatile I/O interfaces
  • Active developer community with extensive tutorials

Cons

  • Limited onboard memory compared to higher-end Jetson models
  • Discontinued official production affecting long-term availability
  • Power supply requirements can be strict under heavy loads

Frequently Asked Questions

What power supply does the Jetson Nano require?

It requires a 5V 4A power supply connected via the DC barrel jack or a 5V 2A supply via the micro-USB port.

What operating system does it run?

It runs NVIDIA JetPack OS, which is a customized version of Ubuntu Linux.

Can the Jetson Nano run standard TensorFlow and PyTorch?

Yes, it supports optimized versions of popular machine learning frameworks through NVIDIA's ecosystem.

Does it include built-in Wi-Fi and Bluetooth?

The developer kit does not include built-in wireless modules, but they can be added via the M.2 Key E slot or USB.

Paid (One-time)

Detailed plans are not listed. Visit the official website for pricing information.

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Target AudienceHobbyists, students, and embedded AI developers

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AIEdge ComputingRoboticsDeveloper KitEmbedded Systems

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