Edge AI: My Journey with the NVIDIA Jetson Orin Nano Super

To experiment with AI at the edge, I purchased a Jetson Orin Nano Super Developer Kit at the NVIDIA GTC 2025 Developer Conference in San José, California.

Motivation

At NVIDIA’s GTC 2025, the concept of Physical AI emerged as a central theme, highlighting the convergence of artificial intelligence with the physical world. Physical AI refers to AI systems that can perceive, understand, and interact with the physical environment, enabling applications in robotics, autonomous vehicles, and more .​

This emphasis on Physical AI inspired a deeper exploration into Edge AI, which brings AI computation closer to data sources like sensors and devices. By processing data locally, Edge AI reduces latency, enhances privacy, and enables real-time decision-making, making it crucial for deploying intelligent systems in real-world settings .​

Blog series

So, what can you actually do with this small yet powerful device? In this two-part blog series, I’ll walk you through a brief overview and some hands-on experiments.

1. Getting Started with the NVIDIA Jetson Orin Nano Super: Overview, Setup & tips
2. AI Experiments with NVIDIA Jetson Orin Nano Super: Realtime Object Detection, Smart Driveway Monitor and Local LLMs

Resources

• https://www.nvidia.com/gtc/
• https://www.nvidia.com/en-us/glossary/generative-physical-ai/
• https://www.nvidia.com/de-de/autonomous-machines/embedded-systems/