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macORnvidia OP t1_iv8l6za wrote

Still under that 15 day period. I wanted to get my hands on a machine instead of constantly wondering. What should I look out for to basically validate or discredit my decision over the next week?

Say if it comes to returning it, I'd be down to buying a 32 gb laptop without gpu, but a desktop gpu that I can plug n play and use accordingly.

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arhetorical t1_iv8nb2t wrote

The only thing that matters is if you like it. The specs really don't matter that much. Either you'll be prototyping your model, in which case you'll just be training for an epoch or two and having better specs will only save you a little bit of time, or you'll be training it in which case a laptop is not going to cut it. An external GPU will just make your setup less portable without actually giving you the performance of a workstation.

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macORnvidia OP t1_iv8ssle wrote

>An external GPU will just make your setup less portable without actually giving you the performance of a workstation

Can you please elaborate?

Also, as for training, I get it, I can't really train deep learning models but how about optimizing machine learning models using pyCUDA?

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arhetorical t1_ivb2sl1 wrote

I haven't tried doing that but if it's a similar resource requirement to prototyping (like if you'll be working with a pretrained model, not training one) then it should be fine. Again though, the biggest factor is whether you like it and if it works for you - since you bought a laptop instead of a workstation, you must have had a very good reason for needing one and none of us can answer that question for you. If you're not training, as long as your stuff fits in memory the specs don't matter that much.

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