NVIDIA Jetson

The NVIDIA Jetson platform delivers exceptional AI performance for edge computing applications. With dedicated GPU acceleration and comprehensive software support, Jetson devices are ideal for computer vision, robotics, autonomous systems, and AI inference at the edge.

NVIDIA Jetson Orin Nano

The latest and most capable entry-level Jetson for edge AI development:

  • CPU: 6-core Arm Cortex-A78AE v8.2 64-bit CPU
  • GPU: 1024-core NVIDIA Ampere architecture GPU
  • AI Performance: 40 TOPS (Tera Operations Per Second)
  • Memory: 8GB 128-bit LPDDR5 (68 GB/s)
  • Storage: microSD card slot + M.2 Key M slot
  • Connectivity: Gigabit Ethernet, USB 3.2, USB 2.0, MIPI CSI-2
  • Power: 7W - 15W configurable TDP

Legacy Option: Jetson Nano 4GB

Note: The original Jetson Nano 4GB will work for basic edge applications, but it has been discontinued by NVIDIA. We recommend the Jetson Orin Nano for new projects due to significantly improved performance and ongoing support.


Where to Purchase

Amazon

NVIDIA Jetson Orin Nano Developer Kit on Amazon

Seeed Studio

NVIDIA Jetson Orin Nano Developer Kit - Seeed Studio

SparkFun

NVIDIA Jetson Orin Nano Developer Kit - SparkFun

Arrow Electronics

NVIDIA Jetson Orin Nano - Arrow Electronics


What's Included

The Jetson Orin Nano Developer Kit includes:

In the Box

  • Jetson Orin Nano Module: Pre-mounted on carrier board
  • Reference Carrier Board: With all essential I/O connectors
  • WiFi Module: 802.11ac dual-band wireless
  • Thermal Solution: Heat sink and fan for cooling
  • Quick Start Guide: Getting started documentation

Additional Requirements

You'll need these components to get started:

  • MicroSD Card: 64GB+ Class 10/UHS-I (128GB recommended)
  • USB-C Power Supply: 5V/3A (15W) power adapter
  • HDMI Cable: For display connection
  • USB Keyboard and Mouse: For initial setup
  • Ethernet Cable: For network connectivity (optional with WiFi)

Key Features for Edge Computing

AI and Machine Learning

  • CUDA Cores: Full CUDA support for GPU acceleration
  • TensorRT: Optimized inference engine for production deployment
  • cuDNN: Deep learning primitives library
  • JetPack SDK: Complete development environment

Computer Vision

  • OpenCV: Optimized computer vision library
  • VisionWorks: NVIDIA's computer vision and image processing library
  • Multiple Camera Support: Up to 4 cameras via MIPI CSI-2
  • Hardware Acceleration: Dedicated video encode/decode engines

Connectivity and I/O

  • GPIO: 40-pin expansion header compatible with Raspberry Pi
  • USB: Multiple USB 3.2 and USB 2.0 ports
  • Ethernet: Gigabit Ethernet for reliable networking
  • WiFi/Bluetooth: Integrated wireless connectivity
  • M.2 Slot: For NVMe SSD storage expansion

Getting Started

Once you have your Jetson Orin Nano:

  1. Flash JetPack: Download and install the latest JetPack SDK
  2. Initial Setup: Complete the Ubuntu setup wizard
  3. Update System: Install latest packages and updates
  4. Install Development Tools: Set up your AI/ML development environment
  5. Test GPU: Verify CUDA installation and GPU functionality

Ready to start building AI applications at the edge? Check out our setup guides for detailed installation and configuration instructions.

Was this page helpful?