#What happened to my datacenter?

12 messages · Page 1 of 1 (latest)

half hemlock
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Hi everyone, I'm new here, I only discovered Runpod yesterday.
I created a Network Volume on the EUR-NO-1 datacenter and yesterday the availability of RTX 5090s was shown as "HIGH". Today, when I was supposed to start working, all the GPUs in the datacenter are "Unavailable". Is this normal? What does "Unavailable" actually mean, have the GPUs been removed from the datacenter, or are they all being used by other users?
Is this something that happens often, or have I just been unlucky?

It would be helpful if the website clearly communicated GPU status and acknowledged when issues are occurring.
I'm currently spending credits on the network volume without being able to create any Pods on it, which is quite frustrating.

hazy zephyrBOT
alpine scarabBOT
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split cipher
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I see lot of 5090 on that region. Do you use some filters?

half hemlock
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Hey thank you for answering me.
I don't think I am using any filter, that is what I see:

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I tried switching to NVME from SSD but it's the same

whole cedar
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I'm confirming with the team but my impression is that the availability indicators can be a bit misleading on certain high volume GPU specs like the 5090 - because it appears to be a flat amount that triggers it as 'high availability' but there's a difference between there being 10 available on a spec where we have dozens total, and 10 available on a spec where we have thousands. The latter is much more prone to go from 'high' to unavailable.

I tried to start in the same DC myself and it is showing as unavailable for me too so it looks like they are just maxxed out. I will bring the feedback to the team to hopefully be a little more in line with customer expectations on what 'high availability' means

half hemlock
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ok I understood thank you for taking the time to answer me.

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Today the GPUs are back on my datacenter. I hope they update the drivers though

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currently CUDA 13 is not supported on the GPUs of this datacenter and I already downloaded all the models on this network volume

granite kiln
whole cedar
# half hemlock currently CUDA 13 is not supported on the GPUs of this datacenter and I already ...

You can use runpodctl to move everything to another network volume if you need - https://www.youtube.com/watch?v=gnSLRrlBfcA

It can be frustrating to find out that there are no GPUs available in your chosen data center, and you need to migrate your volume to another DC to effectively use the Runpod service. Although there's no "one-click" migration procedure (yet) you can copy everything on a network volume to another with just a few terminal commands using runpodctl....

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