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OP was likely talking about training where NVIDIA has virtually no competition apart from Google's TPUs. In inferencing a lot more models are deployed on GPUs
by Voloskaya 6y ago
OP was likely talking about training where NVIDIA has virtually no competition apart from Google's TPUs.
In inferencing a lot more models are deployed on GPUs than before and this trend is likely to continue. NVIDIA is alone there.
- mochomocha 6y agoHa I see - I've been training ML models with millions of data points and millions of features on CPUs for a decade now, I didn't know I needed a GPU - I guess I've been doing it all wrong all this time!
- RcouF1uZ4gsC 6y ago>I've been training ML models with millions of data points and millions of features on CPUs for a decade now That is why it is taking a decade to train your models. If you upgraded to a GPU, you could train them much faster :)
- ebalit 6y agoI would be very surprised if a ML pipeline didn't benefit from some GPU acceleration. What kind of algorithms are you using?
- Voloskaya 6y ago> didn't know I needed a GPU - I guess I've been doing it all wrong all this time No, not the whole time, just these last couple of years :)