Mainly because number crunching code tends to be very long-lived (hence why FORTRAN is still in use).

Yes, and the new kid in town, slang has more chances of adoption.

Still broken though! Has been for years. In a recent GH issue regarding desires for the reboot, I asked: "Try it on a few different machines (OS, GPUs, CUDA versions etc), make it work on modern RustC and CUDA versions without errors." The response was "That will be quite some work." Meanwhile, Cudarc works...

Not functional.

I used it to train my own mini-GPT and I liked it quite a bit. I tend to favor a different style of Rust with fewer generics but maybe that just can't be avoided given the goals of that project.

The crate seems to have a lot of momentum, with many new features, releases, active communities on GH and Discord. I expect it to continue to get better.

Have not heard of it. Looked it up. Seems orthogonal?

I am using Cudarc.

While I agree in principle, CUDA is more than only AI, as people keep forgetting.

The ML researchers are relying on libraries written by someone else. Today, those libraries are mostly C++, and they would benefit from Rust same as most other C++ codebases.

ML reachers don’t write code, they ask ChatGPT to make a horribly inefficient, non-portable notebook that has to be rewritten from scratch :)

I don’t think this is true. It seems to me more that nobody has put in a serious effort to make a nice interface build using Rust.

GPGPU programming != ML.