Powering the Next Wave of AI Robotics with Three Computers

Table of Contents

• Introduction
• The Rise of Multimodal, Physical AI
• Three Computers to Develop Physical AI
• Autonomous Warehouses, Plants, and Factories
• Universal Robots and the Era of Physical AI

Introduction

The world of computing is shifting towards accelerated computing on GPUs, enabling the rise of physical AI and robotics. This shift from general-purpose CPUs to GPUs is revolutionizing the way AI models interact with and navigate the physical world.

The Rise of Multimodal, Physical AI

Multimodal, physical AI is made possible through advanced training, simulation, and inference. With the use of generative AI and large-scale physically based simulations, robots can now perceive, understand, and interact with the physical world in ways previously not possible.

Three Computers to Develop Physical AI

To develop humanoid robots, three accelerated computer systems are utilized for training, simulation, and runtime. NVIDIA has developed platforms like NeMo and Project GR00T to facilitate the creation of physical AI models, enabling robots to understand natural language and emulate human actions.

Autonomous Warehouses, Plants, and Factories

Manufacturers and logistics companies are incorporating autonomous robots into their operations, monitored through digital twins. Utilizing platforms like Omniverse, factories can simulate and optimize robot fleets before deploying them physically, revolutionizing industrial processes.

Universal Robots and the Era of Physical AI

Companies like Universal Robots are using NVIDIA technologies to build ready-to-use hardware and software toolkits for cobot development. This signifies the beginning of the era of physical AI, transforming heavy industries and robotics globally.