Part 2/8:
To build effective robotics systems, three fundamental computing architectures are required. First, the training computer, known internally as the DGX, organizes the vast amounts of data necessary for machine learning. Next, the simulation computer, leveraging NVIDIA’s Omniverse technology, creates virtual worlds that help to test and refine the autonomous systems being developed. Finally, there is the robotics computer that deploys the AI in real-world applications, powering the vehicles themselves. Each of these segments is not only critical to the success of AI-powered systems but also represents a substantial business opportunity for NVIDIA.