Physical AI is about bringing artificial intelligence into the real world through robots and smart machines. This technology is quickly becoming important in places like factories, warehouses, and even entire cities. To help developers create the next generation of robots, NVIDIA has introduced a three computer solution that makes building and training robots much smoother. Let us break down what this all means for beginners.
NVIDIA’s three computers work together, each playing a special role. The first is NVIDIA DGX, a super strong training computer that teaches robots how to see, understand, and act. Think of DGX as the school where robots learn new skills through massive amounts of data and advanced AI models. Developers can use DGX to train robots for all sorts of tasks, from recognizing objects to handling complex actions.
Next comes the simulation computer, powered by NVIDIA Omniverse and Cosmos, running on NVIDIA RTX PRO Servers. Before real robots hit the floor, they need to practice in a safe virtual world. Omniverse creates these digital playgrounds, filled with realistic objects and challenges. Here, robots can try things over and over, learning what works and what does not. This step helps save money and avoids accidents with real equipment.
Finally, there is NVIDIA Jetson AGX Thor, the runtime computer that lives inside the robot itself. Jetson allows robots to make split second decisions in the real world. It processes information from sensors, understands what is happening, and tells the robot how to move or respond — all in real time. Jetson is designed to be powerful but also small and energy efficient, making it a great fit for all kinds of robots.
Physical AI is different from traditional AI, which usually works with text or pictures. Robots need to understand the 3D world, move around, interact with things, and respond to people. This is what makes physical AI special.
Humanoid robots, which look and move like humans, are especially promising because they can work in environments already built for people. Experts predict that the market for these robots will grow quickly in the next decade, with companies racing to create smarter and more useful machines.
Before a robot goes to work in a factory or warehouse, it can be tested in a digital twin — a complete online copy of the real environment. This helps businesses spot problems early and make sure everything runs smoothly, without putting expensive machines or people at risk. Leading companies like Foxconn and Boston Dynamics already use these digital twins to improve and speed up robot development.
NVIDIA’s three computer solution is already helping many companies create robots for manufacturing, healthcare, logistics, and more. Whether it is a collaborative arm on an assembly line or a walking robot in a warehouse, NVIDIA gives developers the tools they need to build, test, and launch physical AI safely and efficiently.
In the future, almost anything that moves or tracks movement could become part of an intelligent robotic system. With better tools for training, simulating, and running AI, robots will become more capable and more common, working alongside people to make industries smarter and safer.
Original article and image: https://blogs.nvidia.com/blog/three-computers-robotics/
