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G. Sailaja is an Assistant Professor in the Department of Computer Science and Engineering at Narsimha Reddy Engineering College, India. Her contribution focuses on cloud-based Artificial Intelligence and scalable computing systems.
The swift expansion of Artificial Intelligence (AI) has generated a heightened need for computational resources that can accommodate extensive datasets, intricate algorithms, deep neural networks, and real-time intelligent applications. Cloud computing offers a flexible and expandable framework for the development, training, deployment, and management of AI systems. Cloud architectures facilitate the development of AI systems for organisations by integrating virtualised computing resources, distributed storage, high-performance accelerators, containerisation, microservices, serverless computing, and managed machine-learning platforms, thereby eliminating the need for substantial physical infrastructure. This chapter outlines the essential principles of cloud computing for artificial intelligence, scalable cloud frameworks, management of AI workloads, distributed model training, inference services, cloud storage solutions, container orchestration, MLOps, security measures, resource optimisation, and real-world applications. It also examines nascent themes such serverless AI, edge-cloud integration, federated learning, foundational models, and eco-friendly AI computing.