insight

In an era where the scale of AI models is rapidly expanding and data generation is unprecedented, enterprise IT infrastructure faces a significant challenge. Traditional centralized architectures, which focus on single-node computing power, are struggling to cope with the massive and diverse data flowing from the cloud, the edge, and endpoints. Consequently, the role of data is being redefined. It is no longer just a computational aid, but the core asset driving decision-making, innovation, and operational efficiency. Enterprises that fail to upgrade their infrastructure accordingly will face challenges such as data processing bottlenecks, performance degradation, and increased energy consumption, driving up their Total Cost of Ownership (TCO). Facing this strategic turning point, the shift from a "Compute-Centric" to a "Data-Centric" approach is not merely a technical upgrade; it is a critical strategy for enterprise transformation in this new “AI” generation. The 2025 HPC conference, SC25, features the theme "HPC Ignites" and highlights "Data-Intensive Science," clearly reflecting this data-driven change: HPC is no longer confined to science and research, but is accelerating its penetration into the enterprise core and becoming the decisive force in the AI competition.

Digitalization is the first strategy in technology for today's enterprises to stay ahead of others. To develop core business and conduct daily operations, enterprises need IT systems and computing power to store, process, manage and analyze the large amounts of data generated and collected every day. This guide will take you from understanding the relevant definitions of data centers to the functions of servers that are often deployed in modern popular technologies such as high performance computing (HPC), 5G, and artificial intelligence (AI).