The performance of an AI service is governed not only by the model but by the system software that stores, moves and processes its data. This laboratory studies performance optimisation of distributed data platforms, vector databases, storage systems and operating systems for large-scale AI and data-intensive applications. Its goal is cross-layer optimisation that raises both throughput and response time for AI services in cloud and distributed environments.