Cannot deploy a Deep Learning VM instance

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Aditya Pattnaik

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May 13, 2020, 7:11:33 AM5/13/20
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Hi,
I have tried to deploy a Deep Learning VM image with Tesla P100 and Tesla V100 in zones asia-east-1-a and asia-east1-c multiple times.
I get this error.


tensorflow-1-vm: {"ResourceType":"compute.v1.instance","ResourceErrorCode":"ZONE_RESOURCE_POOL_EXHAUSTED","ResourceErrorMessage":"The zone 'projects/complete-treat-245403/zones/asia-east1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later."}

I have a quota of 1 GPU globally and I am trying to use only 1 GPU. Can you please suggest?
This is kind of urgent.

Best regards,
Aditya

Zetong Zhao

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May 16, 2020, 3:31:49 PM5/16/20
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Hi,
I just got the same problem. Did you solve it? If so, how did you do?

在 2020年5月13日星期三 UTC-4上午7:11:33,Aditya Pattnaik写道:

Vivek Khimani

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May 16, 2020, 3:37:46 PM5/16/20
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Hello,

I had a similar problem on the day you posted it, but it seems to be resolved now. I was able to deploy a VM with 4 vCPUs and a Tesla P100 GPU in us-central1-a

Vivek Khimani

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May 16, 2020, 3:38:40 PM5/16/20
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Hello Zetong,

It's working for me now. Maybe you want to check the quota for region you are trying to deploy your VM in. At times, that's something that might not let you deploy a VM.

Vladimir

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Jul 30, 2020, 7:46:49 PM7/30/20
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You need to change the region. Some region don't all resources.

Johny Cage

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Aug 12, 2020, 1:57:59 PM8/12/20
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Such error usually occurs  when the region has excessive VM demands & shortage of infra at GCP on that zone/region. You should try a different region (USA for example) or you can try your luck some other time (but most likely you'll get the same error). 



On Wednesday, May 13, 2020 at 4:41:33 PM UTC+5:30, Aditya Pattnaik wrote:
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