Cloud Computing In Artificial Intelligence and Machine Learning

Vignesh P; Sribharath K

Cloud Computing In Artificial Intelligence and Machine Learning

Author : Vignesh P, Sribharath K Journa Name: International Journal of Scientific Research & Engineering Trends Volume: 12 issue: 1 Year: Volume-12-issue-1 Views : 281

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.