
NVIDIA® Jetson™ brings accelerated AI performance to the Edge in a power-efficient and compact form factor. The Jetson family of modules all use the same NVIDIA CUDA-X™ software, and support cloud-native to build, deploy, and manage machine learning & Embodied AI at the edge across all industries.
Seeed is the authorized reseller of NVIDIA Jetson Developer Kits and Elite Partner of the NVIDIA Jetson ecosystem. Based on our over 15 years of hardware expertise, we offer a one-stop experience to simplify edge AI development, including standard carrier boards and device families, ODM services of both hardware & image flashing. Together with leading AI ecosystem partners, Seeed speeds time to market for customers by handling integration, manufacturing, fulfillment, and distribution.
Explore the trending tech and newest open-source embodied AI platform here, also leveraging the full range of hardware products based on NVIDIA Jetson modules as robot brain, including carrier boards, edge AI boxes, and peripherals, to support you in every stage of robotics development, making autonomous systems perceive, understand, and perform complex actions in the real (physical) world.
With Generative AI models, you can build edge AI applications with better generalization, ease of use and higher accuracy. Access tutorials and resources to explore and experiment with large models on the NVIDIA Jetson platform. Delve into the vast possibilities of Generative AI and bridge their potential with applications in the physical world.
Upgrade any Camera with the powerful Edge AI device, supercharged by NVIDIA Jetson Platform. We’re here to help streamline operations and responding efficiency by providing video analytics solutions. From one model to multiple model, we support up to 20+ real-time streams running at single edge AI devices, delivering real-time AI insights and automated alerts to build the AI NVR for a more secure space.
Get started faster with developer-ready hardware, practical tutorials, and streamlined AI development tools.
reComputer Jetson Classic Series
reComputer Jetson Super Series
NVIDIA Developer Kit
Bring edge AI and machine vision into industrial environments with rugged hardware and deployment-ready resources.
Enable onboard computer vision and autonomous mobility in challenging outdoor environments.
Processes video analytics at the edge to improve passenger-flow visibility, identify congestion, and support more efficient airport operations and safety management.
Support vehicle-mounted, multi-camera AI for load tracking, rear blind-spot monitoring, driver-fatigue detection, and helmet checks.
Build intelligent robots from perception to action with powerful Jetson platforms and hands-on robotics learning resources.
Explore robot control, simulation, visual grasping, and sim-to-real workflows
›› Learn more about reBot x NVIDIA Isaac Physical AI curriculum
Learn camera and LiDAR integration, AI vision, sensor fusion, SLAM, autonomous navigation, and robotics deployment through the Mobile Robot Full-Stack Course
›› Learn more about Mobile Robot GitHub repo
Isaac Sim
GR00T
Isaac Sim
GR00T
Seeed reComputer Jetson now runs the full NVIDIA JetPack 7.2 stack — Ubuntu 24.04, Linux kernel 6.8, and CUDA 13 — bringing agentic AI workflows, ~40% lower LLM memory use, and Super Mode performance to the entire Jetson Orin family.
Go from zero to deploying AI on real hardware — using the exact open-source framework we built with our ecosystem partners.
Iulia Feroli
Make technical videos about Physical AI and robotics on YouTube, taking engineers and AI practitioners from microcontrollers all the way to edge AI deployment.
Back to Engineering
Computer Vision for Beginners: everything from filters to custom rubber duck detection
NVIDIA JetPack 7.2 Full Setup: PyTorch, ROS 2 & LeRobot in 30 Minutes (2026)
what they don’t tell you about building for robotics with NVIDIA Jetson
$10 Raspberry to $1000 NVIDIA Jetson: Which hardware do you actually need for Physical AI?
The Only Physical AI Guide You Need for 2026
Computer Vision for Beginners: everything from filters to custom rubber duck detection
NVIDIA JetPack 7.2 Full Setup: PyTorch, ROS 2 & LeRobot in 30 Minutes (2026)
what they don’t tell you about building for robotics with NVIDIA Jetson
$10 Raspberry to $1000 NVIDIA Jetson: Which hardware do you actually need for Physical AI?
The Only Physical AI Guide You Need for 2026
We are actively collaborating with tech KOLs, educators, and robotics experts to co-build cutting-edge courses. If you have an audience that loves hardware, AI, or robotics, we will help you turn open-source knowledge into a structured vedio.
Contact us: [email protected]
High Torque Options: Offers 10 N·m (X4-10) / 34 N·m (X4-36) peak torque with precise gear ratios (12.6:1 and 36:1)
Unified Power & Control: Uses a 24V power supply and XT30 (2+2) CAN interface for both power delivery and communication
Stable Operating Range: Performs reliably in temperatures from 0℃ – 50℃, suitable for indoor robotics environments
Integrated design of brushless motor and reducer
12-bit magnetic absolute encoder and controller
Angle memory ensures position data
Protection functions include thermal shutdown, voltage protection, stall detection, and current/power limitation
9-axis sensor fusion: accelerometer, gyroscope, and magnetometer
Delivers roll, pitch, and yaw with 0.001° resolution and ±0.15° accuracy
Supports 12–60V wide-range power via XT30 CAN / USB-C
ROS-ready with open-source drivers and visualizations for NVIDIA Jetson and Linux platforms
Seeed ODM Service empowers device makers and integrators with our customizable services tailored to their specific hardware needs, including form factors, image flashing, and logo change. If you can’t find the off-the -shelf Jetson hardware solution for your requirements, our in-house R&D engineering team with over a decade of experience in SBCs and industrial computing can design for your specific application demands. Contact us at [email protected] and submit a new product inquiry to us for evaluation.
We’re exploring the latest open-source robotics projects, focusing on Physical AI by combining real-world data collection with NVIDIA Isaac Sim, popular model strategies, and real-time inference on NVIDIA Jetson to make robotics more practical.
Using Hugging Face LeRobot, we’ve streamlined robotic arm imitation learning into a 2-day hackathon, where developers team up to train and deploy policies. This challenge has already been successfully held in China Shanghai/Shenzhen/Wuhan, U.S San Jose, and France Paris, bringing hands-on experience to participants. We’re excited to continue expanding the community and making AI-powered robotics more accessible to everyone.
🚀 Embark on your journey into our comprehensive Vision AI resources hub: including practical AI developing tools, success use cases, innovative community projects, and the latest Edge AI news! Here you can accelerate your computer vision development and deployment on the Edge with Seeed’s cutting-edge hardware powered by NVIDIA Jetson platform.
Explore how Seeed’s Jetson products help across industries.
See how companies are transforming their business with Seeed’s reComputer and Jetson Powered embedded systems.
Fast your AI product to market with Seeed’s edge AI partners offered tools and services.
Understand your consumers, driven by data rather than intuition.
– Collect in-store retail analytics
– Analyze promotion activations
Precise livestock management helps farmers optimize livestock productivity, get real-time insights of the livestock eating and exercising habits, weights and disease.
Integrate your unique AI technique into our current Jetson hardwares. By licensing your product, Seeed will handle all aspects of manufacturing, marketing, order processing, and distribution.
In support of the NVIDIA Jetson platform, we collaborate with our edge AI partners to faster Vision AI applications. We also look forward to more partners joining us to accelerate an end-to-end vision AI solution pipeline for all industries.