currently using 1650 d6 4gb

2060

Neither are great choices, but I wouldn't buy a 10-series for DL anymore. You're giving up a lot by not having tensor cores.

I got a offer 1080 for $110 so thats why 1080 was in the choice

While I agree with the general statement that tensor core are better to have, memory on device is a bigger limiting factor in the long run.

Depending on the model, deep learning can require a significant amount of memory for training. I would suggest you save a little more and go for a 2070 (8GB) or if you can swing it the 3070 with 8GB.

(Edited with correction on the amount of memory available for the 3070)

2060 if it's the 8 GB version, otherwise 1080. But obviously the best would be to not waste your money and just buy cloud compute... With these cards being 200-300$, that is roughly 200-300 hours of A100 training, which is much faster and enables you to train much larger models.

EDIT: I see you've gotten a 110$ offer for 1080, I'd say go with that. You'll be severely limited in what you can run but after you learn your lesson you can still sell it for 100$, or even more.

There is no 16GB 3070, only 8 GB. The 16 GB one was a rumor.

Thanks for the correction!

Throw a pizza party with your money and use google colab instead

Yea this 100%

I agree. I was joking myself when i built myself a pc for deep learning couple years ago. Selling it off within this month to get a macbook and will invest in colab/sagemaker.

dm if any1 is lookin to buy lol

oh

Use colab, if you are treating the computer like a server colab should be a lot better

Why do you think it's a better idea to invest in colab/sagemaker instead of buying a gpu?

I think the monthly fees over the long run will exceed a gpu price.