NVIDIA showcases the Jetson platform for edge AI and robotics, highlighting the compact yet powerful Jetson Orin Nano Super developer kit that enables building AI agents and robots anywhere.
<div id="bsf_rt_marker"></div><p><span style="font-weight: 400">As a discerning AI investor who values style </span><i><span style="font-weight: 400">and</span></i><span style="font-weight: 400"> substance, Sarah Guo knows this season’s standout accessory isn’t the latest designer purse — but what’s inside it. </span></p>
<p><span style="font-weight: 400">In a recent video, Guo, founder of AI-native venture capital firm Conviction and co-host of the AI podcast </span><i><span style="font-weight: 400">No Priors</span></i><span style="font-weight: 400">, highlighted how the </span><a target="_blank" href="https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/"><span style="font-weight: 400">NVIDIA Jetson</span></a><span style="font-weight: 400"> platform for edge AI and robotics gives busy developers both power and portability in one </span><a target="_blank" href="https://www.nvidia.com/en-us/glossary/ai-agents/"><span style="font-weight: 400">agentic-ready AI</span></a><span style="font-weight: 400"> platform built for the physical world — and every industry. The best part? It all fits in one handbag.</span></p>
<div style="width: 1200px;" class="wp-video"><video class="wp-video-shortcode" id="video-96921-1" width="1200" height="675" preload="auto" controls="controls"><source type="video/mp4" src="https://blogs.nvidia.com/wp-content/uploads/2026/07/SarahGuo_Jetson01_captions.mp4?_=1" /><a href="https://blogs.nvidia.com/wp-content/uploads/2026/07/SarahGuo_Jetson01_captions.mp4">https://blogs.nvidia.com/wp-content/uploads/2026/07/SarahGuo_Jetson01_captions.mp4</a></video></div>
<p><span style="font-weight: 400">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 </span><span style="font-weight: 400">developers to build using </span><a target="_blank" href="https://x.com/JensenHuang/status/2080643682408321103"><span style="font-weight: 400">industry-transforming frontier open models</span></a><span style="font-weight: 400"> at the highest standard of </span><a target="_blank" href="https://x.com/JensenHuang/status/2081698060330250294"><span style="font-weight: 400">safety and security</span></a><span style="font-weight: 400">.</span></p>
<p><span style="font-weight: 400">Whether for a student running their first robotics project on </span><a target="_blank" href="https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/nano-super-developer-kit/"><span style="font-weight: 400">Jetson Orin Nano Super</span></a><span style="font-weight: 400">, a professor bringing cutting-edge AI to their curriculum on </span><a target="_blank" href="https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/"><span style="font-weight: 400">Jetson AGX Orin</span></a><span style="font-weight: 400"> or a researcher pushing the limits of autonomous systems with </span><a target="_blank" href="https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-thor/"><span style="font-weight: 400">Jetson AGX Thor</span></a><span style="font-weight: 400">, the platform enables building, learning and launching the next generation of intelligent robots — in every classroom, every lab and every country. </span></p>
<p><span style="font-weight: 400">As Guo shows: bring the bag, Jetson brings the robot brain. </span></p>
<p><span style="font-weight: 400">Check back here throughout the week for a series of examples — beginning with the Jetson Orin Nano Super below — to help developers navigate the </span><a target="_blank" href="https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/"><span style="font-weight: 400">NVIDIA Jetson platform</span></a><span style="font-weight: 400"> and get started on their next robotics breakthroughs.</span></p>
<h2>NVIDIA Jetson Orin Nano Super: Ideal for Building a First AI Robot</h2>
<p><span style="font-weight: 400">Robots deserve a real brain and, apparently, an incredibly chic commute. When Guo popped the </span><a target="_blank" href="https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/nano-super-developer-kit/"><span style="font-weight: 400">Jetson Orin Nano Super</span></a><span style="font-weight: 400"> into her Jacquemus Mini, she gained the entire AI stack right at her fingertips — now with a cute handle: clutch!</span></p>
<p><span style="font-weight: 400">Jetson Orin Nano Super brings desktop-class </span><a target="_blank" href="https://www.nvidia.com/en-us/glossary/generative-ai/"><span style="font-weight: 400">generative AI</span></a><span style="font-weight: 400"> to a handbag-friendly developer kit, offering first-time builders a practical path to learning computer vision, building </span><a target="_blank" href="https://www.nvidia.com/en-us/glossary/ai-agents/"><span style="font-weight: 400">AI agents</span></a><span style="font-weight: 400">, 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’ve always wanted to solve.</span><span style="font-weight: 400"><br />
</span><span style="font-weight: 400"><br />
</span><span style="font-weight: 400">To help builders move from inspiration to implementation, </span><a target="_blank" href="https://github.com/NVIDIA-AI-IOT/jetson-device-skills"><span style="font-weight: 400">NVIDIA Jetson Device Skills</span></a><span style="font-weight: 400"> and </span><a target="_blank" href="https://github.com/NVIDIA-AI-IOT/jetson-bsp-skills"><span style="font-weight: 400">Jetson BSP Skills</span></a><span style="font-weight: 400"> give students, researchers and developers an easier way to harness coding AI agents to create, optimize and deploy real-world AI at the edge.</span><span style="font-weight: 400"><br />
</span><span style="font-weight: 400"><br />
</span><span style="font-weight: 400">Robot builders can get inspired to start their first — or next — dream project with these innovative examples of Jetson Orin Nano Super in action:</span></p>
<h2><strong>Self Driving My EV Car | Model SidewalkPilot</strong></h2>
<p><iframe title="SidewalkPilot-v4.1a In Action (Demo Video)" width="1200" height="675" src="https://www.youtube.com/embed/Lnz4uRvEhbM?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></p>
<p><span style="font-weight: 400">A custom SidewalkPilot AI model autonomously executes maneuvers in a toy electric vehicle using Jetson Orin Nano Super.</span></p>
<h2><strong>Reachy Mini Jetson Assistant</strong></h2>
<div style="width: 1200px;" class="wp-video"><video class="wp-video-shortcode" id="video-96921-2" width="1200" height="675" preload="auto" controls="controls"><source type="video/mp4" src="https://blogs.nvidia.com/wp-content/uploads/2026/07/Reachy-Mini-Jetson-Assistant.mp4?_=2" /><a href="https://blogs.nvidia.com/wp-content/uploads/2026/07/Reachy-Mini-Jetson-Assistant.mp4">https://blogs.nvidia.com/wp-content/uploads/2026/07/Reachy-Mini-Jetson-Assistant.mp4</a></video></div>
<p dir="auto"><a target="_blank" href="https://www.jetson-ai-lab.com/tutorials/reachy-mini-jetson-assistant/">Reachy Mini Jetson Assistant</a> is a low-latency, fully on-device voice and vision assistant for <a target="_blank" href="https://www.pollen-robotics.com/reachy-mini/" rel="nofollow">Reachy Mini Lite</a> powered by NVIDIA <span style="font-weight: 400">Jetson Orin Nano Super</span>. Everything runs locally with GPU acceleration — no cloud, no API keys, no internet required at runtime. Get started <a target="_blank" href="https://github.com/NVIDIA-AI-IOT/reachy-mini-jetson-assistant">here</a>.</p>
<h2><strong>Building My First AI Robot From Scratch</strong></h2>
<p><iframe title="I Built My First AI Robot" width="1200" height="675" src="https://www.youtube.com/embed/Sf-nklw0ljQ?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></p>
<p><span style="font-weight: 400">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.</span></p>
<h2><strong>Robotics AI Podcast</strong></h2>
<div style="width: 1200px;" class="wp-video"><video class="wp-video-shortcode" id="video-96921-3" width="1200" height="675" preload="auto" controls="controls"><source type="video/mp4" src="https://blogs.nvidia.com/wp-content/uploads/2026/07/JONS_robotic-ai-podcast.mp4?_=3" /><a href="https://blogs.nvidia.com/wp-content/uploads/2026/07/JONS_robotic-ai-podcast.mp4">https://blogs.nvidia.com/wp-content/uploads/2026/07/JONS_robotic-ai-podcast.mp4</a></video></div>
<p>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>
<p><span style="font-weight: 400">Inspired yet? Get started by joining </span><a target="_blank" href="https://www.youtube.com/playlist?list=PLZrTAEPLeXfo"><span style="font-weight: 400">our livestream series</span></a><span style="font-weight: 400">. Across three modules, developers can learn to run generative AI, build claw agents and bring <a target="_blank" href="https://www.nvidia.com/en-us/glossary/vision-language-models/">vision-language</a> and <a target="_blank" href="https://www.nvidia.com/en-us/glossary/reasoning-vision-language-action/">vision-language-action</a> models to power real-world physical AI applications — all on NVIDIA Jetson. </span></p>
<p><span style="font-weight: 400">Tomorrow, learn how Jetson AGX Orin helps b</span>ring powerful AI to real-world machines.</p>
# Powerful Compute So Compact, It’s Clutch — Build AI Anywhere With NVIDIA Jetson
Source: [https://blogs.nvidia.com/blog/build-ai-with-nvidia-jetson/](https://blogs.nvidia.com/blog/build-ai-with-nvidia-jetson/)
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](https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/)platform for edge AI and robotics gives busy developers both power and portability in one[agentic\-ready AI](https://www.nvidia.com/en-us/glossary/ai-agents/)platform built for the physical world — and every industry\. The best part? It all fits in one handbag\.
[https://blogs\.nvidia\.com/wp\-content/uploads/2026/07/SarahGuo\_Jetson01\_captions\.mp4](https://blogs.nvidia.com/wp-content/uploads/2026/07/SarahGuo_Jetson01_captions.mp4)
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 — enablingdevelopers to build using[industry\-transforming frontier open models](https://x.com/JensenHuang/status/2080643682408321103)at the highest standard of[safety and security](https://x.com/JensenHuang/status/2081698060330250294)\.
Whether for a student running their first robotics project on[Jetson Orin Nano Super](https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/nano-super-developer-kit/), a professor bringing cutting\-edge AI to their curriculum on[Jetson AGX Orin](https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/)or a researcher pushing the limits of autonomous systems with[Jetson AGX Thor](https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-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: 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 below — to help developers navigate the[NVIDIA Jetson platform](https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/)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](https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/nano-super-developer-kit/)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](https://www.nvidia.com/en-us/glossary/generative-ai/)to a handbag\-friendly developer kit, offering first\-time builders a practical path to learning computer vision, building[AI agents](https://www.nvidia.com/en-us/glossary/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’ve always wanted to solve\. To help builders move from inspiration to implementation,[NVIDIA Jetson Device Skills](https://github.com/NVIDIA-AI-IOT/jetson-device-skills)and[Jetson BSP Skills](https://github.com/NVIDIA-AI-IOT/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:
## **Self Driving My EV Car \| Model SidewalkPilot**
A custom SidewalkPilot AI model autonomously executes maneuvers in a toy electric vehicle using Jetson Orin Nano Super\.
## **Reachy Mini Jetson Assistant**
[https://blogs\.nvidia\.com/wp\-content/uploads/2026/07/Reachy\-Mini\-Jetson\-Assistant\.mp4](https://blogs.nvidia.com/wp-content/uploads/2026/07/Reachy-Mini-Jetson-Assistant.mp4)
[Reachy Mini Jetson Assistant](https://www.jetson-ai-lab.com/tutorials/reachy-mini-jetson-assistant/)is a low\-latency, fully on\-device voice and vision assistant for[Reachy Mini Lite](https://www.pollen-robotics.com/reachy-mini/)powered by NVIDIAJetson Orin Nano Super\. Everything runs locally with GPU acceleration — no cloud, no API keys, no internet required at runtime\. Get started[here](https://github.com/NVIDIA-AI-IOT/reachy-mini-jetson-assistant)\.
## **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\.
## **Robotics AI Podcast**
[https://blogs\.nvidia\.com/wp\-content/uploads/2026/07/JONS\_robotic\-ai\-podcast\.mp4](https://blogs.nvidia.com/wp-content/uploads/2026/07/JONS_robotic-ai-podcast.mp4)
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](https://www.youtube.com/playlist?list=PLZrTAEPLeXfo)\. Across three modules, developers can learn to run generative AI, build claw agents and bring[vision\-language](https://www.nvidia.com/en-us/glossary/vision-language-models/)and[vision\-language\-action](https://www.nvidia.com/en-us/glossary/reasoning-vision-language-action/)models to power real\-world physical AI applications — all on NVIDIA Jetson\.
Tomorrow, learn how Jetson AGX Orin helps bring powerful AI to real\-world machines\.
NVIDIA announces JetPack 7.2 and NemoClaw support on Jetson, bringing agentic AI capabilities to edge devices like robotics and industrial automation, with performance boosts and new developer tools.
The author announces a new blog post on clustering three Jetson Nano Orin Supers for distributed training and inference, continuing a series to help people build small compute clusters with accessible hardware.
NVIDIA announces the Jetson T3000 and T2000 modules based on the Thor architecture, delivering powerful AI compute for mainstream robotics and edge AI applications, with adoption by leading robotics companies.
General Instinct launches a deployment layer that enables frontier AI models to run on constrained edge hardware like Jetsons and mobile NPUs, helping robotics and physical AI teams achieve low-latency offline inference.