Authors: Vignesh P, Sribharath K
Abstract: The rapid growth of Artificial Intelligence (AI) and Machine Learning (ML) has significantly increased the demand for high computational power, massive data storage, and efficient model deployment. Traditional on-premise infrastructures often fail to meet these requirements due to high cost, limited scalability, and maintenance complexity. Cloud computing provides a flexible, scalable, and cost-effective platform that supports the complete lifecycle of AI and ML systems. By offering powerful computing resources such as GPUs, TPUs, distributed storage, and pre-built AI services, cloud computing enables faster innovation and real-time intelligent applications. This paper presents an in-depth study of cloud computing and its role in AI and ML, covering architecture, service models, platforms, applications, benefits, challenges, security concerns, and future scope.
