With the cluster and storage down for maintenance this week, I thought about doing some #pytorch development locally an my laptop. No dedicated GPU, but a recent #intel Core Ultra 2 CPU. So first I went for the CPU-only packages.
Only yesterday I realized that the Windows task manager shows something called #npu in its charts. Fair enough, let's see whether pytorch can use it ...
I have to say, the #xpu pytorch integration has gone a long way. In my case, I could use it as a drop-in replacement for #cuda / #rocm pytorch, yet with the obvious performance differences between HPC GPUs and a laptop iGPU.
https://docs.pytorch.org/docs/stable/notes/get_start_xpu.html
Always nice to have alternatives. Especially for basic testing I don't need big (expensive) GPUs.

