Efficient procurement planning is important for building an energy-efficient data center. However, with rapid technological advancements and constrained IT budgets, acquiring data center equipment remains a challenging and costly endeavor. Data center managers must consider that server operating costs are directly linked to energy consumption. Sustainable equipment procurement requires evaluating costs from different suppliers, assessing performance based on multiple criteria, and aligning purchases with available budgets. Striking a balance between cost and performance remains an active research area. This paper proposes an optimization model for server processors procurement in cloud data centers. The model incorporates different types of data center server processors, considering both power consumption and cost factors. A power consumption minimization model is then developed, incorporating budget constraints and various categories of processors. A numerical case study demonstrates the model’s applicability and highlights trade-offs between performance and energy efficiency in procurement decisions.