In the past, the choice of location for a site was influenced by factors such as closeness to clients, the availability of land, accessibility, and zoning regulations. The process of choosing a site for a project now takes into account factors such as data ownership, resources like power and water, necessary infrastructure, environmental limitations, community approval, supply chain stability, and available funding.
Governments are becoming more involved in forming digital infrastructure, and investments are happening at earlier stages of development. This leads to a new equation based on location. Now, achieving success entails coordinating the infrastructure, regulatory framework, customer preferences, strategic planning, environmental compliance, public acceptance, and financial resources.
The most appealing sites are those which incorporate these factors into a feasible, expandable development package, resulting in a novel site selection framework. The process of choosing a site begins with considering its purpose. Applications that require fast processing and low latency continue to prioritize being close to users, as well as being connected to fibre networks and large exchange points.
AI training clusters and sovereign compute platforms can withstand larger distances from users to provide the necessary infrastructure for high-density computing. With AI gaining importance as a strategic national priority, regulatory frameworks are emerging as a significant factor distinguishing markets.
Consequently, planning is now a crucial aspect of location strategy.
