This study models an FPGA-based memory hierarchy utilizing LRU replacement and effective write policies to design effective memory structures that meet the needs of contemporary computing environments. The research objectives include integrating LRU replacement and efficient write strategies into cache memory subsystems. Methodologically, the FPGA-based memory hierarchy is designed by using Verilog HDL and Intel Quartus Prime Lite, with specific focus on Level 1 and Level 2 cache configurations. The FPGA-based memory hierarchy employs LRU replacement, write-back, and write-allocate policies to optimize the memory performance. Simulation results show that the combination of write-back and write-allocate policies provides a well-balanced solution for managing the memory hierarchy. The LRU replacement policy effectively controls cache evictions, ensuring that frequently accessed data stays in the cache. By employing the write-allocate policy, cache hit rates for subsequent reads are improved, while the write-back policy minimizes write operations to main memory, leading to greater energy efficiency and reduced latency. This study concludes that the proposed FPGA-based memory hierarchy design effectively enhances system performance by minimizing main memory accesses and balancing cache utilization efficiency.