NVIDIA highlights the portability and computational power of its Jetson edge AI platform through investor Sarah Guo, dem

As an AI investor who values style and substance, Sarah Guo, founder of the AI-native venture capital firm Conviction and co-host of the AI podcast No Priors, recently highlighted that the season’s standout accessory is not a designer purse but the technology inside it. In a recent video, Guo explained how the NVIDIA Jetson platform for edge AI and robotics delivers power and portability in one agentic-ready AI platform built for the physical world and every industry, all compact enough to fit in a handbag. These modules and developer kits power robots, autonomous machines, and real-world AI projects in classrooms, labs, and makerspaces, 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 demonstrates: bring the bag, Jetson brings the robot brain.

Readers can check back throughout the week for a series of examples beginning with the Jetson Orin Nano Super to help developers navigate the NVIDIA Jetson platform and get started on their next robotics breakthroughs. 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. With 67 trillion operations per second (TOPS) of AI performance, Jetson Orin Nano Super helps developers get started on the problems they have always wanted to solve. 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. Robot builders can get inspired to start their first or next dream project with these innovative examples of Jetson Orin Nano Super in action: a custom SidewalkPilot AI model autonomously executes maneuvers in a toy electric vehicle using Jetson Orin Nano Super; a Reachy Mini Jetson Assistant serves as a low-latency, fully on-device voice and vision assistant for Reachy Mini Lite powered by NVIDIA Jetson Orin Nano Super, running everything locally with GPU acceleration without cloud, API keys, or internet at runtime; 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; and using Jetson Orin Nano Super, Asier Arnaz built a Yocto-powered Robotics AI video podcast featuring two AI models discussing topics in real-time and highlighting what makers are creating at the edge. Inspired yet? Get started by joining our livestream series. Across three modules, developers can learn to run generative AI, build claw agents, and bring vision-language and vision-language-action models to power real-world physical AI applications, all on NVIDIA Jetson.

With 275 TOPS of AI performance, Jetson AGX Orin is there when workloads get more complex. For Guo, it is simple: more TOPS, more tote. For more advanced makers, Jetson AGX Orin brings the full power of AI into coursework, capstone projects, and applied research, powering advanced robots, autonomous machines, and AI at the edge, proving serious AI no longer has to live in a server room or be reserved for those who can afford one. Jetson AGX Orin lets builders test real ideas in real environments, then carry the whole thing to class, the lab, the demo table, or that first investor meeting. With versatility for advanced robotics curriculum and serious startup projects, Jetson AGX Orin can support computer vision, generative AI, autonomous navigation, and more, making it ideal for transforming virtually every industry, whether creating delivery bots, smart vision capabilities, or industrial automation. Go next-level with these innovative examples of Jetson AGX Orin in action: a browser-based interface streams live vision language model inference on Jetson AGX Orin, letting users interact with a VLM in real time through their camera feed; and a Carnegie Mellon University robotics team’s autonomous system builds a 3D map of an environment while simultaneously searching for survivors in time-critical rescue scenarios.

School’s out and robotics builders mean business. The largest workloads deserve the biggest brain and Jetson AGX Thor lives up to its name, delivering up to 2070 FP4 teraflops of AI compute and 128GB of memory. Take it from the expert: Guo big or go back to class. Of course, a bigger brain begets a bigger bag. As the ultimate platform for next-generation humanoid robots and autonomous systems that require sophisticated real-time reasoning at the edge, this is the brain every robot has been waiting for. Jetson AGX Thor delivers server-class compute and AI agent capabilities for the most challenging workloads in labs, factories, and the field, across every industry, in every corner of the world. With Jetson AGX Thor, the future is officially in the bag. Go big with these innovative examples of Jetson AGX Thor in action: a first-place hackathon entry from University of Illinois Urbana-Champaign’s SIGRobotics team uses two robotic arms running the NVIDIA Isaac GR00T N1.5 model on Jetson AGX Thor to autonomously pour, prepare, and whisk matcha; and a creative development environment on Jetson AGX Thor combines vision, audio, and language inputs to enable rich multimodal AI experimentation at the edge. Anyone can make a robot move. Jetson makes it think, putting frontier AI in the hands of every builder, everywhere. So, which NVIDIA Jetson module fits best? Start with one that’s right and then upgrade when ready. Isn’t that right, Guo?