I just like GPUs man, they are so much more programmable, nvshmem and do whatever I want.
Rohan Anil, CoreAutoAI co-founder, defends GPU programmability using NVSHMEM as Jerry Tworek argues they are specialized GEMM engines
The debate highlights custom operator needs versus standard matrix math
Many users praised GPUs for their programmability and flexibility in workloads like NVSHMEM and GEMM, calling the experience fun despite a steep learning curve, while a few viewed the preference as a betrayal.
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I just like GPUs man, they are so much more programmable, nvshmem and do whatever I want.

@_arohan_ 💚

This is not because of anything other than pure joy of having finished prototyping an old idea that had been simmering.

@Radipdegen No they won’t

@_arohan_ shh dont let nvidia hear u say that or theyll charge u per call next gen

@_arohan_ Sure you do to want to work with ASIC #12543 instead?

@ayzddzya I have been waiting more than half a decade to try this idea. Betryal not mine.

@_arohan_ Betryal 🙄

@NVIDIAAI Programming with it has been the most fun I’ve had in a long time!

@_arohan_ Same

@_arohan_ bro everyone is not sleeping these days?

@_arohan_ the cuda learning curve is brutal but worth it

@_arohan_ Haha I was joking 🙃 I think TPU and GPU excel in their own way.

@_arohan_ dont count your chickens before they hatch