you can but through a python interpreter in the mojo process so you get the same numpy speed with mojo<->ptyhon interop overhead.
NuMojo is native and also is now starting to support features that numpy can't really do like native GPU execution.
I'd be interested to see where GPU code beats NUMPY's SIMD implementation, which is really
we use numpy + jax for that; works well