I must agree that for numerical computation (and downstream optimisation thereof) Julia is much better suited than ostensibly "systems" language such as Rust. Moreover, the compatibility matrix[1] for Rust-CUDA tells a story: there's seemingly very little demand for CUDA programming in Rust, and most parts that people love about CUDA are notably missing. If there was demand, surely it would get more traction, alas, it would appear that actual CUDA programmers have very little appetite for it...

[1]: https://github.com/Rust-GPU/Rust-CUDA/blob/main/guide/src/fe...

It's not just that. See CUDA EULA at https://docs.nvidia.com/cuda/eula/index.html

Section 1.2 Limitations:

     You may not reverse engineer, decompile or disassemble any portion of the output generated using SDK elements for the purpose of translating such output artifacts to **target a non-NVIDIA platform**.