Compute optimized instances are ideal for compute-bound applications that benefit from high-performance processors. They are designed to deliver the power required for applications like scientific modeling, machine learning inference, and high-performance computing (HPC). Storage optimized instances are designed for workloads that require high, sequential read and write access to very large datasets on local storage, which is not what's described in the question. Memory optimized instances are geared towards applications that process large datasets in memory, which isn't the primary requirement here. General purpose instances provide a balance of compute, memory, and networking resources and don't offer the specialized computational power needed.