64GB RAM will let you work with noticeably larger matrices in MATLAB.

Yes, 64GB directly lets you handle datasets that would crash or swap to disk on 32GB. MATLAB loads the entire matrix into memory, so doubling RAM roughly doubles the matrix size you can hold comfortably.

A double-precision matrix of size N x N takes 8 bytes per element. A 60,000 x 60,000 matrix is about 27GB. That leaves overhead for the OS, MATLAB itself, and temporary copies. With 32GB you’d be stuck around 40k x 40k. With 64GB you can push past 60k x 60k without breaking a sweat.

But don’t expect miracles. MATLAB’s memory management isn’t perfect, and operations that create intermediate arrays (like matrix inversions or eigendecompositions) can temporarily blow up memory usage. 64GB gives you more headroom, but a single 100k x 100k matrix (80GB) still won’t fit.

If you’re regularly hitting the swap file or seeing “Out of Memory” errors, 64GB will fix that for most medium-scale problems. Just make sure your motherboard and OS support it—and that you’re not on a 32-bit MATLAB (you shouldn’t be).