MLOps in Software-Defined Vehicles: A Centralized Platform Approach
Software-defined vehicles (SDVs) refer to a new paradigm in automotive design in which vehicle functionality and features are primarily defined and controlled by software rather than traditional hardware components.
In SDVs, software updates can dynamically change and enhance vehicle capabilities, leading to a more flexible and adaptable automotive ecosystem.
MLOPs in Software-Defined Vehicles
MLOps (Machine Learning Operations) encompasses the practices, tools, and methodologies designed to simplify and automate the management and deployment of machine learning models throughout their lifecycle in production settings.
Relevance to SDVs
SDVs rely heavily on ML models to perform critical functions such as autonomous driving, predictive maintenance, user personalization, and more.