As memory requirements grow, and advances in memory technology slow, the availability of sufficient main memory is increasingly the bottleneck in large compute clusters. One solution to this is memory disaggregation, where jobs can remotely access memory on other servers, or far memory. This project presents a faster swapping mechanism and a far memory-aware cluster scheduler that make it possible to support far memory at rack scale. While far memory is not a panacea, for memory-intensive workloads, CFM can provide performance improvements on the order of 10% or more even without changing the total amount of memory available.