As a discerning AI investor who values style and substance, Sarah Guo knows this season\u2019s standout accessory isn\u2019t the latest designer purse \u2014 but what\u2019s inside it.\u00a0<\/p>\n
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<\/a> platform for edge AI and robotics gives busy developers both power and portability in one agentic-ready AI<\/a> platform built for the physical world \u2014 and every industry. The best part? It all fits in one handbag.<\/p>\n 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 \u2014 wherever inspiration strikes \u2014 enabling developers to build using industry-transforming frontier open models<\/a> at the highest standard of safety and security<\/a>.<\/p>\n Whether for a student running their first robotics project on Jetson Orin Nano Super<\/a>, a professor bringing cutting-edge AI to their curriculum on Jetson AGX Orin<\/a> or a researcher pushing the limits of autonomous systems with Jetson AGX Thor<\/a>, the platform enables building, learning and launching the next generation of intelligent robots \u2014 in every classroom, every lab and every country.\u00a0<\/p>\n As Guo shows: bring the bag, Jetson brings the robot brain.\u00a0<\/p>\n Check back here throughout the week for a series of examples \u2014 beginning with the Jetson Orin Nano Super below \u2014 to help developers navigate the NVIDIA Jetson platform<\/a> and get started on their next robotics breakthroughs.<\/p>\n NVIDIA Jetson Orin Nano Super: Ideal for Building a First AI Robot<\/p>\n Robots deserve a real brain and, apparently, an incredibly chic commute. When Guo popped the Jetson Orin Nano Super<\/a> into her Jacquemus Mini, she gained the entire AI stack right at her fingertips \u2014 now with a cute handle: clutch!<\/p>\n Jetson Orin Nano Super brings desktop-class generative AI<\/a> to a handbag-friendly developer kit, offering first-time builders a practical path to learning computer vision, building AI agents<\/a>, 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\u2019ve always wanted to solve. Self Driving My EV Car\u00a0 | Model SidewalkPilot<\/p>\n A custom SidewalkPilot AI model autonomously executes maneuvers in a toy electric vehicle using Jetson Orin Nano Super.<\/p>\n Reachy Mini Jetson Assistant<\/p>\n Reachy Mini Jetson Assistant<\/a> is a low-latency, fully on-device voice and vision assistant for Reachy Mini Lite<\/a> powered by NVIDIA Jetson Orin Nano Super. Everything runs locally with GPU acceleration \u2014 no cloud, no API keys, no internet required at runtime. Get started here<\/a>.<\/p>\n Building My First AI Robot From Scratch<\/p>\n Coding with Lewis constructed an AI-powered robot using Mistral \u2014 an open-weight model \u2014 showing that first time robotics developers can build from the ground up using Jetson Orin Nano Super.<\/p>\n Robotics AI Podcast<\/p>\n 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.<\/p>\n Inspired yet? Get started by joining our livestream series<\/a>. Across three modules, developers can learn to run generative AI, build claw agents and bring vision-language<\/a> and vision-language-action<\/a> models to power real-world physical AI applications \u2014 all on NVIDIA Jetson. <\/p>\n Tomorrow, learn how Jetson AGX Orin helps bring powerful AI to real-world machines.<\/p>\n","protected":false},"excerpt":{"rendered":"As a discerning AI investor who values style and substance, Sarah Guo knows this season\u2019s standout accessory isn\u2019t…\n","protected":false},"author":2,"featured_media":564045,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[345,343,344,255507,85,46,223085,74628,125],"class_list":["post-564044","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-embedded-computing","tag-il","tag-israel","tag-jetson","tag-physical-ai","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/564044","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/comments?post=564044"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/564044\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media\/564045"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media?parent=564044"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/categories?post=564044"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/tags?post=564044"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
To help builders move from inspiration to implementation, NVIDIA Jetson Device Skills<\/a> and Jetson BSP Skills<\/a> 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 \u2014 or next \u2014 dream project with these innovative examples of Jetson Orin Nano Super in action:<\/p>\n