GPU instances failing to be created

[Motiur Rahman]

Hi, hello - I am trying to create instance of 1 GPU K80 with 4 cpus , 26 GB RAM from us-west-1b region . I am getting this odd error - 

The request contains invalid arguments: "Instances with guest accelerators do not support live migration.". Error code: "badRequest"

Is this normal, or is it going to persist. I am trying to running some deep learning codes using the GPU. Any suggestion will be helpful.

Thanks

Mohammad

[Digil (Google Cloud Platform Support)]

I tried to create a similar instance and saw the same error. It seems that you have to request a quota on GPU. Make sure that you have the necessary quota for using the GPU on an instance.

There is this help center article that will help you to create the instance with GPUs. Also, do check the restrictions mentioned in the documentation on creating the GPU integrated instances.

It is also clearly mentioned here in the introductory part that GPU instance has to terminate for host maintenance events and thus cannot live migrate.

[Motiur Rahman]

I had quota issues before. I believe I have resolved it. This new problem that I am experiencing has something to do with maintenance issue.

If that's the case do you know when will it be resolved.

Thanks. 

[Michael Basilyan]

This is likely because of this:

When you create an instance with one or more GPUs, you must set the instance to terminate on host maintenance. Instances with GPUs cannot live migrate because they are assigned to specific hardware devices. See GPU restrictions for details.

So for example:

gcloud compute instances create [INSTANCE_NAME] \
    --machine-type [MACHINE_TYPE] --zone [ZONE] \
    --accelerator type=[ACCELERATOR_TYPE],count=[ACCELERATOR_COUNT] \
    --image-family [IMAGE_FAMILY] --image-project [IMAGE_PROJECT] \
    --maintenance-policy TERMINATE --restart-on-failure \
    --metadata startup-script='[STARTUP_SCRIPT]'

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[David Knight]

If you are creating an instance via the Web interface, find "Availability Policy"->"Automatic Restart" and set it to "Off"

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