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Is there a trick to getting a quota increase for NVIDIA GPU's on GCP? Really can't believe the amount of red tape here. I'm going through a course on deploying KubeFlow via GCP and need 4 GPU 's for the distributed training module. GCP continually rejects any request over 1 GPU. Are there any Data Scientists actively using GCP for personal dev projects, who have had any luck?

kaysuez
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  • Do you have a new GCP account? – itsanewabstract Jun 25 '20 at 19:43
  • I did create a project last Fall, but this particular project is just 5 days old. – kaysuez Jun 25 '20 at 20:11
  • According to the [docs](https://cloud.google.com/compute/docs/gpus): "To protect Compute Engine systems and users, 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." – itsanewabstract Jun 25 '20 at 20:26
  • Not finding any documentation on how to request those two additional GPU quotas ^^. I did try and follow the steps here-- https://stackoverflow.com/questions/45227064/how-to-request-gpu-quota-increase-in-google-cloud -- these requests continue to be rejected. – kaysuez Jun 25 '20 at 21:14
  • If Google is rejecting your quota increase, why do you think Stack Overflow can override their decision? You need to work with Google. – John Hanley Jun 25 '20 at 23:10
  • Noting here this was never resolved. Went back and forth between Sales team and Cust Support. Unable to obtain GPU. Sticking with AWS going fwd. – kaysuez Aug 17 '20 at 05:09

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