As physical AI-powered edge systems and infrastructure increasingly automate, they must autonomously perceive, plan, and execute complex tasks—from traffic pattern detection and industrial inspection to autonomous mobile robots in warehouses and logistics.
To develop and deploy the next generation of autonomous AI systems, a new framework is required. This involves training multimodal, generalized AI models for various tasks, then testing and validating these models and their associated software in simulation. Finally, the entire stack is deployed on the physical edge AI system to perform actions in real time.
NVIDIA’s three computers—for training, simulation, and deployment—are essential for achieving human-like intelligence for autonomous edge solutions.