The Evolution of Data Centers in the Age of AI
DOI:
https://doi.org/10.32628/CSEIT24105107Keywords:
Data Centers, Artificial Intelligence, Energy Efficiency, Cloud Computing, Edge ComputingAbstract
This article explores the evolving landscape of data centers in the era of artificial intelligence (AI). It examines the exponential growth of the global data center market, driven by increasing data generation and AI adoption. The article discusses key technological developments in data centers, including enhanced operational efficiency through AI-powered systems, specialized hardware for AI workloads, advanced cooling technologies, and sustainability initiatives. It also delves into future prospects, such as increased capacity for complex AI tasks, real-time processing of massive datasets, and further improvements in energy efficiency. The symbiotic relationship between AI and data centers is highlighted, emphasizing how this transformation is reshaping digital infrastructure to meet unprecedented demands for computational power and data processing while striving for sustainability.
Downloads
References
Gartner, Inc., "Gartner Forecasts Worldwide Public Cloud End-User Spending to Grow 18% in 2021," 2021. [Online]. Available: https://www.gartner.com/en/newsroom/press-releases/2020-11-17-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-grow-18-percent-in-2021
D. Amodei and D. Hernandez, "AI and Compute," OpenAI, 2018. [Online]. Available: https://openai.com/blog/ai-and-compute/
Grand View Research, "Artificial Intelligence Market Size, Share & Trends Analysis Report By Solution, By Technology (Deep Learning, Machine Learning, NLP, Machine Vision, Generative AI), By Function, By End-use, By Region, And Segment Forecasts, 2024 - 2030," 2023. [Online]. Available: https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-ai-market
Allied Market Research, "Artificial Intelligence Chip Market Size, Share, Competitive Landscape and Trend Analysis Report, by Chip Type, by Processing Type, by Technology, by Application, by Industry Vertical : Global Opportunity Analysis and Industry Forecast, 2023-2032," 2021. [Online]. Available: https://www.alliedmarketresearch.com/artificial-intelligence-chip-market
McKinsey & Company, "Artificial intelligence: The next digital frontier?," 2017. [Online]. Available: https://www.mckinsey.com/~/media/McKinsey/Industries/Advanced%20Electronics/Our%20Insights/How%20artificial%20intelligence%20can%20deliver%20real%20value%20to%20companies/MGI-Artificial-Intelligence-Discussion-paper.ashx
Uptime Institute, "Annual Data Center Survey Results," 2021. [Online]. Available: https://uptimeinstitute.com/2021-data-center-industry-survey-results
Gartner, Inc., "Gartner Forecasts Worldwide Public Cloud End-User Spending to Reach Nearly $500 Billion in 2022," 2022. [Online]. Available: https://www.gartner.com/en/newsroom/press-releases/2022-04-19-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-reach-nearly-500-billion-in-2022
IDC, "The Growth in Connected IoT Devices Is Expected to Generate 79.4ZB of Data in 2025, According to a New IDC Forecast," 2019. [Online]. Available: https://www.businesswire.com/news/home/20190618005012/en/The-Growth-in-Connected-IoT-Devices-is-Expected-to-Generate-79.4ZB-of-Data-in-2025-According-to-a-New-IDC-Forecast
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Scientific Research in Computer Science, Engineering and Information Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.