I completely agree. For large-scale problems, specialized methods remain essential, and that’s exactly why reliable simulation tools will continue to play a cri

I completely agree. For large-scale problems, specialized methods remain essential, and that’s exactly why reliable simulation tools will continue to play a critical role. At the same time, I started developing this library with a future in mind—where large-memory GPUs are affordable and ubiquitous. JAX has dramatically lowered the barrier to GPU computing, and with FEAX, users can instantly generate GPU-compatible FEA code. Over the past few days, I’ve been testing it on mid-scale problems with vectorized batch boundary conditions, solving hundreds of linear systems in parallel. These are use cases where traditional FEM frameworks often fall short. I hope that features like this can help accelerate interdisciplinary research at the intersection of physics simulation and AI.