1/ With DeOldify being a real business now we invested in 4 Quadro RTX 8000 48GB video cards back in March. Expensive- definitely. Worth it? Totally. I'm now having the revelation of "oh...bigger models and bigger batches do help!" rather than endlessly chasing clever hacks.
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Replying to @citnaj
I am little bit confused. That means are you continuously training to increase it's performence? I thought when a model is trained, you don't need so much comupting power. Or it is because everyone is trying different pictures parallelly.
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Replying to @hasangoni
They don't get continuously trained once completed. You just train a new model until completion and then use it without further training. So I'm talking about making new models here that I couldn't previously make because of new hardware.
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Replying to @citnaj
OK that makes sense. Thanks for the reply. So from the Tweet I just understood your first setup was 4 1080Ti, with what you implemented your first deoldify.
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Replying to @hasangoni
Correct. And actually V1 and V2 were trained on single gpu configs (I used the four gpus to run parallel experiments). Now I use the four gpus in combination to squeeze extra capability in a single training session.
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Replying to @citnaj
Thanks for your reply. Actually I am planning to build a Box. Thats why asking so many questions. Do you mind to give a suggestion? Should I Go for single 2080 ti or double 1080ti, with memory seems 1080 ti has almost double memory. I am confused ..
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Honestly, the biggest priority for me is memory, by far. And these two cards have the same amount of memory. Next priority is being able to experiment and iterate rapidly: Two cards is much better than one. So my inclination is to say double 1080ti if you want a good deal.
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