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Selecting a Data Center Site: Intel’s Approach

Selecting a Data Center Site: Intel’s Approach

Intel IT and Corporate Services, working as a team, have identified a range of factors to consider when choosing a data center site. When Intel experiences growth that requires investment in data center facilities, the project team uses this set of factors to select a site that maximizes Intel’s return on investment. These criteria help optimize construction and sustaining costs while meeting internal customers’ computing and services requirements. They also assist in choosing a site that can accommodate future needs and concerns.

When selecting a site, we consider three criteria to be the most important:
• Environmental conditions. The region’s climate and history of natural hazards
• Wide area network. The availability and cost of fiber and communications infrastructure
• Power. The availability and cost of electrical power infrastructure.

The perfect site does not exist, and examining all the relevant site-selection criteria is challenging. However, we have found that a well-defined site-selection process and a quantitative analysis of factors and tradeoffs can transform raw data into useful information and insight, enabling informed decision making.

Read the full Selecting a Data Center Site: Intel’s Approach. These criteria help optimize construction and sustaining costs while meeting internal customers’ computing and services requirements. They also assist in choosing a site that can accommodate future needs and concerns. When selecting a site, we consider three criteria to be the most important: • Environmental conditions. The region’s climate and history of natural hazards • Wide area network. The availability and cost of fiber and communications infrastructure • Power. The availability and cost of electrical power infrastructure. The perfect site does not exist, and examining all the relevant site-selection criteria is challenging. However, we have found that a well-defined site-selection process and a quantitative analysis of factors and tradeoffs can transform raw data into useful information and insight, enabling informed decision making.

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