[pjmlp]

Including stuff like Fortran, Haskell, Java, .NET via PTX, Python JIT, IDE tooling integration with major IDEs, graphical GPU debugging and profiling, libraries and co?

Then I guess all the best.

[zorked]

This post has some serious peanut-gallery vibes.

[pjmlp]

Peanut-gallery is happily using CUDA, and needs actual sound reasons to move.

[account42]

Then the peanut gallery has nothing to complain when Nvidia jacks up prices.

[anon291]

They don't though. Money for ai is pretty much free in America to anyone who can demonstrate a modicum of competence in the field.

The only people who are without access are students or hobbyists really.

[pjmlp]

Do you see me complaining?

Here is a tip, you don't always need to suffer from FOMO and get the very latest model card.

In fact, contrary to the competition, one can play with CUDA even on laptops, go figure.

[anon291]

> In fact, contrary to the competition, one can play with CUDA even on laptops, go figure.

This is the part people don't get. You can program cuda anywhere on any Nvidia card, unlike other companies' chips you don't need a data center gpu to have full programmability. It's been this way for over a decade

[pjmlp]

Yes, this is how they get students hooked on CUDA.