64GB helps if your models are big.

Yes, for large models, 64GB makes a real difference over 32GB. But for most everyday work, 32GB is fine.

Finite element analysis (FEA) is one of those workloads where memory is either a bottleneck or it isn’t. If your model has hundreds of thousands of nodes or you’re doing fine meshing with many degrees of freedom, the solver needs to hold giant stiffness matrices in RAM. Once you exceed physical memory, the system starts swapping to disk, and your simulation speed drops to a crawl—like days instead of hours.

If your typical ANSYS job fits comfortably in 32GB (most student projects, single-part analyses, or simple assemblies) then doubling won’t speed things up. The CPU becomes the limit, not the RAM.

But if you frequently run parametric sweeps, contact nonlinearities, or models with millions of elements, 64GB is a genuine upgrade. It keeps everything in memory and avoids that painful “out of memory” error mid-solve.

Think about your actual workload before spending the money. If you’re not sure, start with 32GB and watch Task Manager during a solve. If memory usage sits at 80-90%, you’ll benefit from 64GB.

Know your model size before you buy.