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.
Recommended Model
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:
- Flash JetPack: Download and install the latest JetPack SDK
- Initial Setup: Complete the Ubuntu setup wizard
- Update System: Install latest packages and updates
- Install Development Tools: Set up your AI/ML development environment
- 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.