Anyone can make a robot move; NVIDIA Jetson makes it think.
As a discerning AI investor who values style and substance, Sarah Guo knows this season’s standout accessory isn’t the latest designer purse — but what’s inside it.
In a recent video, Guo, founder of AI-native venture capital firm Conviction and co-host of the AI podcast No Priors, highlighted how the NVIDIA Jetson platform for edge AI and robotics gives busy developers both power and portability in one agentic-ready AI platform built for the physical world — and every industry. The best part? It all fits in one handbag.
Compact enough to carry in a bag, yet powerful enough to take on the toughest problems, NVIDIA Jetson modules and developer kits power robots, autonomous machines and real-world AI projects in classrooms, labs and makerspaces — wherever inspiration strikes — enabling developers to build using industry-transforming frontier open models at the highest standard of safety and security.
Whether for a student running their first robotics project on Jetson Orin Nano Super, a professor bringing cutting-edge AI to their curriculum on Jetson AGX Orin or a researcher pushing the limits of autonomous systems with Jetson AGX Thor, the platform enables building, learning and launching the next generation of intelligent robots — in every classroom, every lab and every country.
As Guo shows: you bring the bag, Jetson brings the robot brain.
Check back here throughout the week for a series of examples — beginning with the Jetson Orin Nano Super — slated to help developers navigate the NVIDIA Jetson platform and get started on their next robotics breakthroughs.
NVIDIA Jetson Orin Nano Super: Ideal for Building a First AI Robot #
Robots deserve a real brain and, apparently, an incredibly chic commute. When Guo popped the Jetson Orin Nano Super into her Jacquemus Mini, she gained the entire AI stack right at her fingertips — now with a cute handle: clutch!
Jetson Orin Nano Super brings desktop-class generative AI to a handbag-friendly developer kit, offering first-time builders a practical path to learning computer vision, building AI agents, prototyping edge AI and more.
To help builders move from inspiration to implementation, NVIDIA Jetson Device Skills and Jetson BSP Skills give students, researchers and developers an easier way to harness coding AI agents to create, optimize and deploy real-world AI at the edge.
With 67 trillion operations per second (TOPS) of AI performance, Jetson Orin Nano Super helps developers get started on the problems they’ve always wanted to solve.
Robot builders can get inspired to start their first — or next — dream project with these innovative examples of Jetson Orin Nano Super in action:
[Self Driving My EV Car | Model SidewalkPilot](https://www.youtube.com/watch?v=Lnz4uRvEhbM)
[Self Driving My EV Car | Model SidewalkPilot](https://www.youtube.com/watch?v=Lnz4uRvEhbM)
A custom SidewalkPilot AI model autonomously navigates a right-hand and left-hand turn in a toy electric vehicle using Jetson Orin Nano Super.
[Reachy Mini Jetson Assistant](https://www.jetson-ai-lab.com/tutorials/reachy-mini-jetson-assistant/)
[Reachy Mini Jetson Assistant](https://www.jetson-ai-lab.com/tutorials/reachy-mini-jetson-assistant/)
A low-latency, fully on-device voice and vision assistant for Reachy Mini Lite powered by NVIDIA Jetson Orin Nano Super. Everything runs locally with GPU acceleration — no cloud, no API keys, no internet required at runtime. Get started here.
Building My First AI Robot From Scratch
Coding with Lewis constructed an AI-powered robot using Mistral — an open-weight model — showing that first time robotics developers can build from the ground up using Jetson Orin Nano Super.
Get started by joining our livestream series. Across three modules, developers can learn to run generative AI, build Claw agents, and bring VLM/VLA models to power real-world physical AI applications — all on NVIDIA Jetson.