NVIDIA highlights its compact yet powerful Jetson platform for edge AI and robotics, showcasing how the Jetson Orin Nano

Sarah Guo, founder of AI-native venture capital firm Conviction and co-host of the AI podcast No Priors, recently featured NVIDIA's Jetson platform in a video, emphasizing how the edge AI and robotics platform delivers both power and portability in a single agentic-ready system. Remarkably portable—small enough to fit in a handbag—yet capable of handling complex problems, Jetson modules and developer kits power robots, autonomous machines and AI projects across classrooms, labs and makerspaces, enabling developers to build using industry-leading open models with strong safety and security standards.

The platform serves users at every level: students using the Jetson Orin Nano Super for their first robotics projects, professors integrating cutting-edge AI into their curricula with Jetson AGX Orin, and researchers advancing autonomous systems with Jetson AGX Thor. All are enabled to build, learn and launch the next generation of intelligent robots across every setting.

Jetson Orin Nano Super brings desktop-class generative AI to a handbag-friendly developer kit, offering first-time builders a practical entry point for learning computer vision, building AI agents and prototyping edge AI applications. With 67 trillion operations per second of AI performance, it helps developers tackle problems they have long wanted to solve. To streamline the journey from inspiration to implementation, NVIDIA offers Jetson Device Skills and Jetson BSP Skills, which give students, researchers and developers easier access to coding AI agents for creating, optimizing and deploying real-world edge AI.

Concrete examples demonstrate the platform's versatility: a custom SidewalkPilot AI model autonomously executes maneuvers in a toy electric vehicle; the Reachy Mini Jetson Assistant provides low-latency on-device voice and vision assistance without requiring cloud connections or API keys; Coding with Lewis showcases first-time robotics developers building with open-weight models like Mistral; and Asier Arnaz created a Yocto-powered robotics AI podcast with two models discussing topics in real time. NVIDIA is launching a livestream series across three modules to teach developers how to run generative AI, build claw agents and deploy vision-language models for physical AI applications on Jetson.