From ChatGPT to generative world models for autonomous driving (AD), data for AI model training must be high performance, flexible and scalable. Data helps AI models identify and extract meaningful features from input data. The quality and depth of training data significantly affects the success of AI models. Training data provides examples and relevant information for AI models to learn from. This presentation will discuss AI-powered computing for AV development, data-driven development, and ways to accelerate AV development.

• Data for AI model training must be high performance, flexible, and scalable
• Quality and depth of training data significantly impact the success of AI models
• Data helps AI models identify and extract meaningful features from input data