I think Nvidia is at a point now where the CUDA toolkit is well-established that it can afford to start squeezing the people already using it. Based on my persp

I think Nvidia is at a point now where the CUDA toolkit is well-established that it can afford to start squeezing the people already using it. Based on my perspective (academia), universities seem to have invested heavily in CUDA, meaning a lot of faculties tend to use it (or rely on builtin CUDA support in FEA/CFD/MATLAB) for HPC where they need performance . I'd be interested to see how much of the breakdown in revenue for their compute cards is for academia, government and industry though.