Jetson Nano Specs

The NVIDIA Jetson Nano remains a cornerstone for entry-level Edge AI, though the market is shifting toward higher-performance alternatives like the Jetson Orin Nano. NvidiaNvidia

Technical Specifications Overview

The Jetson Nano is built on the Maxwell architecture, providing 472 GFLOPS of AI performance suitable for basic computer vision tasks. Nvidia

• GPU: 128-core NVIDIA Maxwell™ architecture
• CPU: Quad-core ARM® Cortex®-A57
• Memory: 4 GB 64-bit LPDDR4 (25.6 GB/s)
• Power: 5W/10W modes for energy efficiency NvidiaSparkfun

2026 Market Trends & Insights

• Intensifying Competition: Qualcomm has launched direct competitors like the Dragonwing 1Q10 at CES 2026, targeting the robotics ecosystem previously dominated by Jetson. Automate
• Generative AI at the Edge: The trend is shifting from simple object detection to Compact Generative AI, with smaller models running real-time speech and vision processing directly on-device. Gminsights
• Cloud-Edge Orchestration: Approximately 60% of edge deployments in 2026 use cloud-enabled platforms (e.g., AWS IoT Greengrass) to manage distributed fleets of devices like the Jetson Nano. Gminsights

Supplier Landscape

I have identified over 80 suppliers specializing in Jetson Nano components, including modules, developer kits, and compatible carrier boards. Key sourcing locations include:

• Shenzhen/Guangzhou: The primary hub for compatible carrier boards and AI development kits.
• Verified Options: Several suppliers offer 100% quality control and specific customization for robotic and industrial applications. AlibabaAlibaba

Detailed supplier lists and technical data are provided in the files below.