MD300
Pod / GPU stopped working
I've had a pod running continiously for over a week. Today it just stopped working.
Everything on the surface looks ok, but Ollama (the tool I'm using) won't run any model now. The error is saying not enough resources. It looks like the GPU is not working.
I've tried reinstalling Ollama, restarting the pod and terminating all processes. Nothing works.
Is the possible the GPU might not be available even though it says it is and I'm paying for it?
50 replies
Network volume and transfer to new pod
Previous pods had network volume (enough to cover what I'd uploaded). Got the pod but no GPU, so need to move.
I cannot see the way to move that stuff (sorry to get technical) to a new pod. Is there a process, button outside my field of vision, or magic spell for this?
10 replies
Pod disapeared completely
Yesterday the GPU was gone, but the pod was still there. This morning the whole pod has gone. I'd left it running and it ran out of money, so was expecting the CPU to be gone again. But this time the interface acts as if it never was there.
I paid for network storage. The storage is shown but not with any way to retireve what I had.
Is this normal?
Once again, I feel somewhat scammed by Runpod here.
6 replies
Lost my GPU and forced to pay more?
Hoping someone can help asap. Started a pod yesterday, a cheaper GPU one (less than $0.5/hr). I exited it last night (to not continue to incurr costs, because it's not cler at all if you pay for non-usage), started it again this morning, and see this messsage:
"Start your pod without GPUs. This is useful for debugging non gpu-related problems or transferring data. If you have a volume configured, it will be retrieved and mounted. The price for this instance is $0.195/hour + disk costs."
It gives me a link to the docs, to this:
"Why do I have zero GPUs assigned to my Pod?
If you want to avoid this, using network volumes is the best choice. Read about it here.
Learn how to use them here.
Most of our machines have between 4 and 8 GPUs per physical machine. When you start a Pod, it is locked to a specific physical machine. If you keep it running (On-Demand), then that GPU cannot be taken from you. However, if you stop your Pod, it becomes available for a different user to rent. When you want to start your Pod again, your specific machine may be wholly occupied! In this case, we give you the option to spin up your Pod with zero GPUs so you can retain access to your data."
What is going on? Did I just waste a whole day setting things up for Runpod to act like a cheap airline?
I'm not happy at all. I need to finish a project, and I thought Runpod was a reliable service.
Anyone can suggest an alternative to Runpod that I could move to to get on with my work?
Sorry for the rant, but this is very poor business practice,
31 replies