GCP error: Quota 'GPUS_ALL_REGIONS' exceeded. Limit: 0.0 globally
Asked Answered
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I've increased for my quota of NVIDIA K80, and received the request approval. Why am I still not able to use a VM with GPUs?

Error as shown in title.

Maxie answered 21/11, 2018 at 15:18 Comment(0)
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Increasing the region-specific GPU quota won't work. GPUs(all regions) have to be increased from 0. Steps as of December 2018 are below:

  1. From top left burger menu, select, IAM & admin -> Quotas. enter image description here
  2. In filter type, select metric to be GPUs(all regions) and Location as Global enter image description here
  3. Click edit quotas and new quota limit to 1 or more enter image description here
Perce answered 8/12, 2018 at 1:54 Comment(7)
for those of you that are confused by the first image, you don't click "IAM" > "IAM" as he highlighted, you actually have to click "IAM" > "QUOTAS". Hope this saves someone from 15 minutes of confusion :)Paulettepauley
You have to click Metrics "None" first, and then click GPU(all regions) to only see the GPU all regions. ThanksElainaelaine
I had my request denied. Any other solution so that I can run Parsec and play some ga mes?Buffy
I had my request denied as well. Any idea about why they denied?Merlenemerlin
I think the UI changed. Please look for limit name to be mentioned as GPUs (all regions). But I am unable to increase.. By the way as per this new plan, GPUs can not be used in Compute Engines in free tier cloud.google.com/free/docs/gcp-free-tierBucella
I struggled to find it under the IAM quotas: make sure to use the filter and type GPUs to find itShipper
I tried this many times... And I have officially given up on GCP. After a full month of constance begging and escalation someone got back to me to tell me I had to yet again contact a "google cloud partner". I stopped after trying that and it didn't work out as well.They have informed me that they are not interested in "hobbyist/education" related allotment of GPU. I wrote my horrible experience with GCP on kaggle: kaggle.com/product-feedback/208960Anam
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I just came across this error and none of these directions were working for me (I think the GCP website has been updated since these answers).

In the filter at the top of the quotas page, I typed in Service: Compute Engine API and Limit Name: GPUs (all regions) and changed the limit from 0 to 1 or more. Hope this helps someone!

enter image description here

Ollieollis answered 3/7, 2020 at 23:20 Comment(4)
Or all you need to do is to click the upside-down triangle on top of the first checkbox. It will launch the configuration menuCoif
@J.Oh - your answers worked for me. GCP did change its console and therefore what you are saying is more relevant.Therron
this also helped me in finding the right quota.Febrific
I would recommend changing the limit to exactly 1. I tried changing it to 5, and I got rejected and told I needed to have "sales support" for that many.Broussard
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The top rated answer did not work out for me.

Here is what I did to get increase the global GPU quotas as of January 2021:

  1. Go to https://console.cloud.google.com/iam-admin/quotas
  2. Filter by GPUs (All Regions)

enter image description here

  1. Click on "Edit Quotas"

enter image description here

  1. Requested limit 1 in the upcoming dialogue

enter image description here

  1. Hit "Next" button

  2. Filled the next form and hit "Submit Request" button

enter image description here

After these steps you have requested access to GPUs and should receive on your email account an email from Google Compute Engine Quota Support with either approval or denial of your quota increase request.

Ethiopia answered 29/1, 2021 at 8:51 Comment(4)
This answer is a working solution as of June 2021. Helped me to finally get GPU enabled notebook after 4 hours.Figurative
Agreed. This is the answer that helped me after a long period of trouble. The trick is to increase quota to exactly 1. More than that and the quota increase may be rejected.Broussard
You can also filter as Quota: GPUs(all regions) if above doesn't work.Lyophilize
After I've tried various approachs this one work for me (3/2022)Trot
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Follow the instructions at GCE Quota Increase.

Remember to select correct filters. If you're not sure or you don't see GPUs(all regions) (under the name "Compute Engine API", see the image) in the list, try to select all for those filters, and scroll through the list to look for it. It took me some time to realize this. In my case, it is listed in 601 - 716th items, almost at the last of the list.

Just select it and edit the quota according to you needs. GPUs(all regions)

Maxie answered 21/11, 2018 at 15:18 Comment(0)
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You musty file a request that will include GPUS_ALL_REGIONS. New projects have a global GPU quota, which limits the total number of GPUs you can create in any supported zone. When you request a GPU quota, you must request a quota for the GPU models that you want to create in each region, and an additional global quota for the total number of GPUs of all types in all zones. Please see this link[1] for more information.

[1] https://cloud.google.com/compute/docs/gpus/#restrictions

Sassy answered 21/11, 2018 at 19:58 Comment(0)
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The provided answers did not work for me. After searching for "GPUs (all regions)", there was no checkbox next to the filtered results. Clicking on the results and then clicking "edit quotas" as suggested did nothing.

Instead, here is the ridiculous process I had to go through:

  1. As with other answers, go to the Quotas page and filter for GPUs (all regions).
  2. Click All Quotas in the Details field of the result.
  3. A new table appears with only a single entry. The checkbox is grayed out.
  4. Instead of selecting and editing Quotas, click View hierarchy in the last field of the entry.
  5. A new table should appear with all of your projects.
  6. Finally, the checkboxes are not grayed out. Select the appropriate project.
  7. NOW you can click Edit Quotas.

Google. WTF mate? Now, according to one answer you should do the same for the regions you want to use.

Disendow answered 3/10, 2020 at 19:41 Comment(3)
Also had this problem. Are you using the free tier? "GPUs and TPUs are not included in the Free Tier offer. You are always charged for GPUs and TPUs that you add to VM instances." cloud.google.com/free/docs/gcp-free-tierLockridge
@Lockridge hey, my names Wes too! And I may be. Previously was using my personal account, but started using a G-Suite account provided by my new job. I have no idea if it's the free tier or not (I'm pretty sure my personal account was, and I got a GPU quota just fine without having to request it).Disendow
the checkbox was also grayed out for me until I upgraded to a trial account with $300 creditFebrific
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Also, GCP error message does not make sense. For example, it kept on showing me the above error message even after I got the global quota increased. Later I found out from this documentation:- https://cloud.google.com/compute/docs/gpus/#restrictions

.. that the above GPU configuration is not supported with the particular Intel Skylake or later CPU platforms. Error message never talks about this incompatibility issue ( under the notification). It still says:

    Quota 'GPUS_ALL_REGIONS' exceeded. Limit: 0.0 globally

folks@GCP should improve the error messaging.

Therron answered 8/10, 2020 at 5:2 Comment(2)
100% it has to improve.. It is the worst... I was waiting 5 hrs for a VM to initiate when later I was informed by the support that this is because I don't have GPU allotted. How about a simple message instead of wasting 5 hrs...Anam
Still terrible in 2023, don't know what this absurdly paid Google engineers are doing, but it doesn't show :SStrafford
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Fiter in Google Cloude https://console.cloud.google.com/iam-admin/quotas by two values:

  • service:Compute Engine API
  • GPU_ALL_REGIONS

Edit QUATAS

DONE; the issue is resolved!

enter image description here

Yb answered 1/4 at 8:4 Comment(1)
Thank you for your interest in contributing to the Stack Overflow community. This question already has quite a few answers—including one that has been extensively validated by the community. Are you certain your approach hasn’t been given previously? If so, it would be useful to explain how your approach is different, under what circumstances your approach might be preferred, and/or why you think the previous answers aren’t sufficient. Can you kindly edit your answer to offer an explanation?Ault

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