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I have trained transformers on a 4090 (not language models). Here’s a few notes. You can try out pretty much all GPUs on a cloud provider these days. Do it. V
by janalsncm 2y ago
I have trained transformers on a 4090 (not language models). Here’s a few notes.
You can try out pretty much all GPUs on a cloud provider these days. Do it.
VRAM is important for maxing out your batch size. It might make your training go faster, but other hardware matters too.
How much having more VRAM speeds things up also depends on your training code. If your next batch isn’t ready by the time one is finished training, fix that first.
Coil whine is noticeable on my machine. I can hear when the model is training/next batch is loading.
Don’t bother with the founder’s edition.
- magicalhippo 2y agoThanks for sharing your insights, was thinking of upgrading to a 5090 partially to dabble with NNs. > Don’t bother with the founder’s edition. Why?
- janalsncm 2y agoWhen I bought mine the FE was $500 more. Only reason to get it is better cooling and size which were not factors for me.
- magicalhippo 2y agoAh, hadn't been paying that much attention. Thought I had seen them at roughly equal pricing but at $500 extra yeah no thanks.