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Establishing AI-Specific Cloud Computing Infrastructure

Avinash Kumar Sharma (Sharda University, India), Nitin (University of Cincinnati, USA), and Sumit Kumar (ABES Institute of Technology, India)
Indexed In: SCOPUS
Release Date: April, 2025 | Copyright: © 2025 | Pages: 654
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Publication Status: E-Book and Print Version Available for Purchase
ISBN13: 9798369396940
ISBN13 Softcover: 9798369396957
EISBN13: 9798369396964
DOI: 10.4018/979-8-3693-9694-0

Description:

As artificial intelligence (AI) continues to drive innovation across industries, the need for specialized cloud computing infrastructure to support AI workloads is critical. Traditional cloud platforms often struggle to meet the high computational demands and storage requirements of AI models, especially as they grow in complexity and scale. Establishing AI-specific cloud computing infrastructure involves designing systems optimized for the needs of AI, such as powerful processing capabilities, massive data storage, and real-time processing. With advancements in hardware like graphics processing units and tensor processing units, along with sophisticated data management solutions, businesses can better harness the full potential of AI technologies. This specialized infrastructure enhances the performance and scalability of AI applications while enabling faster innovation and more efficient deployment of AI-driven solutions across sectors.

Establishing AI-Specific Cloud Computing Infrastructure explores how AI has evolved as a transformative new technology, capable of delivering large incremental value to a wide range of sectors. It examines recent advances in innovation, specifically how computing power, data storage, and digitized data have led to AI-based applications for business and governance. This book covers topics such as digital technology, sustainable development, and artificial intelligence, and is a useful resource for computer engineers, business owners, academicians, data scientists, and researchers.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Cloud Computing
  • Data Science
  • Digital Technology
  • High Performance Computing
  • Information Technology
  • Natural Language Processing
  • Robotics
  • Smart Technology
  • Sustainable Development

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Avinash Kumar Sharma currently working as Associate Professor, Department of Computer Science & Engineering, Sharda School of Engineering & Technology (SSET), Sharda University, Greater Noida. Dr. Avinash Kumar Sharma have completed Ph.D from Uttarakhand Technical University, Dehradun (A State Govt. University) in Cloud Computing. His research areas are Cloud Computing, Machine Learning, Smart Agriculture, Artificial Intelligence. He has more than 18 years of teaching experience. He has published about 40 research articles in national / international conferences, journals, and book chapters. Dr. Avinash Kumar Sharma edited 04 books with IGI Global, 01 book with Wiley and 01 authored book with BPB Publication. He has also published 05 patents including 01 design patent.
Nitin Chanderwal currently working as an Associate Professor Educator-Full Time in the Department of Electrical and Computer Engineering at the University of Cincinnati. In the past I have worked as Associate Professor-Full Time of Information Systems and Analytics at IIM Shillong, Meghalaya, INDIA. During my tenure at IIM Shillong, I have also served as Chairperson for the two Areas: {(Information Systems and Analytics) & (IT Services and Website Committee)}. During 2017-2018, I have worked as Professor Educator in the Department of EECS at University of Cincinnati, OH and during 2010-2011 as First Tier Bank Professor in the Peter Kiewit Institute at University of Nebraska at Omaha, NE, USA.

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