It says at the top:
> write state of the art kernels
Mojo seems to be competing with C++ for writing kernels. PyTorch and Julia are high-level languages where you don't write the kernels.
> write state of the art kernels
Mojo seems to be competing with C++ for writing kernels. PyTorch and Julia are high-level languages where you don't write the kernels.
https://cuda.juliagpu.org/stable/tutorials/introduction/#Wri...
With KernelAbstractions.jl you can actually target CUDA and ROCm:
https://juliagpu.github.io/KernelAbstractions.jl/stable/kern...
For python (or rather python-like), there is also triton (and probably others):
Although I have my doubts that Julia is actually willing to make the compromises which would allow Julia to go that low level. I.e. semantic guarantees about allocations and inference, guarantees about certain optimizations, and more.