In the world of robotics and embedded AI, hardware choices matter. Developers today are looking for compact, efficient platforms that can handle computer vision, SLAM, and real-time decision making without breaking power or budget constraints.
This is where the Jetson ORIN NANO SUPER quietly sets a new standard.
What Makes It Different?
The ORIN NANO SUPER doesn’t overpromise. It simply delivers—with up to 67 TOPS of processing power, available in 4GB and 8GB configurations, and built on NVIDIA’s Ampere architecture. Whether you’re developing autonomous navigation, running real-time object detection, or streaming multi-camera input, it has the bandwidth and compute to keep up.
Built for Real Use Cases
This isn’t just a dev board for benchmarking models. It’s showing up in actual mobile robots. Pair it with a mecanum-wheel chassis, a LiDAR sensor, and a depth camera, and you have everything you need to explore SLAM, path planning, or vision-guided grasping.
Need something more compact? It works equally well in indoor robots that need strong inference capability with minimal thermal load.
Designed With Developers in Mind
With solid support for ROS2, full Python compatibility, and containerized deployment options, the Jetson ORIN NANO SUPER is quickly becoming a favorite among roboticists who need compact hardware with serious AI performance—without the complexity of industrial-scale systems.
Looking to get started? Yahboom is offering 5% off for the next 48 hours across Jetson-compatible robots and kits.
Use code: Jetson5OFFBGBG at checkout.