I_will_delete_myself

I_will_delete_myself t1_jcblldw wrote

People can't do deep learning or AI without the tools to make them happen. Imagine how complicated the data collection methods at the scale of Terabytes of data and cleaning it. People also need to annotate data for it to work which requires software to get it done in a cost effective manner.

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I_will_delete_myself t1_jb532v5 wrote

Intelligence is the ability to take complex information into a simple explanation that a child can understand .

It makes me skeptical if someone doesn’t explain besides performance reasons . Most people just use the cloud because ML networks regardless of size take up a lot of battery.

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I_will_delete_myself t1_jb2zavm wrote

I suggest using Colab free. The resources are more than most people need and use the cloud when you got a serious work load like a business or research.

If you want to do gaming with that then try the rtx 3060 instead. More VRAM let’s you do more than rtx 3070 ironically.

Either paths will eventually lead you to the cloud to be remotely competitive in serious workloads.

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I_will_delete_myself t1_japdqeh wrote

Use some spot instances on the cloud. It's a lot cheaper than getting a 3k rig unless if you train the model throughout the entire year. You can also connect to a VM on GCP through Colab so everything feels the same, just with a change.

Spot instances and Lambda cloud have super low margins and it isn't the big mark up in traditional products.

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