Nvidia Development Boards
When it comes to building intelligent machines, raw mechanical power isn’t enough, you need compute. Real-world robotics demands high-speed perception, planning, and control, all happening in milliseconds. That’s where NVIDIA Orin steps in: an edge AI platform purpose-built for robotics, autonomous systems, and high-performance embedded computing.
What Is NVIDIA Orin?
NVIDIA Jetson Orin is the latest generation of AI edge computing boards from NVIDIA, offering desktop-class performance in a compact, power-efficient form factor. It’s designed to run complex AI models directly on the device, no cloud required.
Depending on the model (Orin Nano, Orin NX, or AGX Orin), you get:
Up to 275 TOPS of AI performance
Ampere GPU architecture
Arm Cortex-A78AE CPU cores
Advanced I/O and camera interfaces
JetPack SDK with CUDA, cuDNN, TensorRT, and ROS 2 support
In short: the kind of compute you’d expect from a server—now in your robot.
Why It Matters for Robotics
At Royles Robotics, we're integrating Jetson Orin into our systems because it enables real-time perception, model inference, and control all on-device. That means:
Object recognition, depth mapping, and tracking with cameras and LIDAR
Generative models to produce natural, adaptive robot behavior
Low-latency control loops for smart servos and motion planning
Reduced reliance on cloud infrastructure, enabling autonomy in the field
For robots that must walk, balance, see, and decide in dynamic environments, Orin delivers the power needed without sacrificing mobility or battery life.
Edge AI Without Compromise
NVIDIA Orin isn't just for prototyping, it's production-ready. With support for Ubuntu-based JetPack SDK, ROS 2, and DeepStream, developers can quickly move from simulation to real-world deployment.
Whether you're building drones, delivery bots, or bipedal humanoids, Orin gives you the edge ... literally.
NVIDIA brings supercomputer-grade AI power to the edge, making it the go-to platform for real-time robotics, vision, and control in compact, mobile systems.