Kuta Code Native on a Cpu

There's all this overhead of sending data to the g p to get processed and getting your results back. And so there's a you know, cross over point where when your data gets big enough and parallel enough it makes it's worth it to send it there - but below that threshold, it's better to do it on the cpu. But short of that, if you could write, cuta code that when you're below a certain size limit, om you know, the overheads too much, and so you go and just run that on your a CPU or in some case where the gpu isn't available. So that all those cases are, you know, really important case.