Page Table Memory Consumption

The article shows that page tables can become a major hidden memory consumer in large-scale, shared-memory, and highly concurrent workloads, especially in databases and user-space networking. For CIOs and technology leaders, the strategic takeaway is that apparent free RAM can be stranded by paging overhead, creating unexpected OOMs, swapping, and instability unless infrastructure and application designs account for translation memory costs. This makes page table efficiency a capacity-planning and workload-architecture issue, not just a kernel tuning detail.