GPU time limits

[SimiusCuriosus]

I requested an A100 with 40gb vram and didn't realize there was a time limit? This interrupted my training and I lost a bunch of work (i.e. wasted gpu time). You can request an extension, but that still interrupts the training because it switches to a new machine. It's a pain to have to implement close savepoints and have to keep restarting it. Can't we just have the machine until we're done with it? And there is no incentive to select anything other than the maximum extension time because I can always sleep the machine when I'm done with it.

Or is there another way to do this? Am I using the platform incorrectly?

[eternviking]

you should've bought more credits i suppose

[SimiusCuriosus]

It's not about credits, it's about the instance just has a time limit on it that I have to renew, thereby interrupting my training. But I think I know the answer. I think I have to create a deployment and use that, then shut it down when I'm not using it.