Evolving Cooling Strategies for Next - Generation Data Center Workloads

Hitesh Vora

Abstract: The escalating computational demands of artificial intelligence (AI), machine learning (ML), and high - performance computing (HPC) are driving unprecedented energy consumption and heat generation within data centers. Traditional cooling techniques are increasingly challenged by these next - generation workloads. This paper critically examines existing cooling methodologies, identifies emerging challenges, explores novel thermal management strategies, and offers a comparative analysis highlighting their efficiencies, environmental impacts, and economic implications, providing a roadmap for sustainable and scalable data center operations.

Keywords: Data center cooling, thermal management, liquid cooling, immersion cooling, energy efficiency, AI, machine learning, high - performance computing

How to Cite?: Hitesh Vora, "Evolving Cooling Strategies for Next - Generation Data Center Workloads", Volume 14 Issue 2, February 2025, International Journal of Science and Research (IJSR), Pages: 1882-1888, https://www.ijsr.net/getabstract.php?paperid=SR250216113720, DOI: https://dx.doi.org/10.21275/SR250216113720