This research improves data center energy efficiency by analyzing processor instruction sequences. By identifying and fusing recurring instruction patterns, existing general-purpose processors can execute workloads more efficiently. Even small gains at the instruction level can significantly reduce energy consumption, operating costs, and carbon emissions across large-scale data centers.