[kouteiheika]

> This is a professional tool for AI R&D.

Not really, not it isn't, because it's deliberately gimped and doesn't support the same feature-set as the datacenter GPUs[1]. So as a professional development box to e.g. write CUDA kernels before you burn valuable B200 time it's completely useless. You're much better off getting an RTX 6000 or two, which is also gimped, but at least is much faster.

[1] -- https://github.com/NVIDIA/dgx-spark-playbooks/issues/22

[mapontosevenths]

Fair enough if that's your use case. I have to be honest with you though, I've never written cuda code in my life and wouldn't know sm_121 from LMNOPO. :)

It does seem really shady that they'd claim it to be 5th gen tensor cores and then not support the full feature set. I searched through the spark forums, and as that poster said nobody is answering the question.