I am trying to create a GPU instance (n1-standard-2 with 1 NVIDIA T4 GPU) on Compute Engine and I have been getting this error since yesterday:
Operation type [insert] failed with message "The zone 'projects/deep-learning-xxxx/zones/us-central1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later."
It seems that this region of Google Cloud doesn't have enough GPU resources, but I am getting the same error with other zones too, and after trying multiple times. Regular non-GPU instances are working fine though. I am trying to figure out if I'm doing something wrong or if there is a just a huge demand for GPU instances on GCP right now.
The reasons for GPU not being created on a VM in a particular region/zone can be,
1.Resource Unavailability. Check Resource availability here GPU availability across regions and zones.
2.Quota overuse can restrict the creation of GPUs. Refer Checking project quota for details.
3.Few GCP Restrictions, you can refer to the list of Restrictions here.
You can Check GPU Quota in Create VM with GPU's
Alternatively, GCP offers a feature called Reserving Compute Engine zonal resources to ensure that your project has resources for future use.
Finally, I was able to launch a preemptible GPU instance without a problem. So it really seems like Google Cloud doesn't have enough GPU resources to reserve an on-demand GPU VM at the moment.
Related
We are migrating our production environment from DigitalOcean to GCP.
However, because it is different, we don't know where to get some information about our VMs.
Is it possible to have a report that tells me the amount of CPUs, Machine Type, amount of RAM, amount of SSD and amount of SSD used by VM?
Compute Engine lets you export detailed reports of your Compute Engine usage (daily & monthly) to a Cloud Storage bucket using the usage export feature. Usage reports provide information about the lifetime of your resources.
VM instance insights help you understand the CPU, memory, and network usage of your Compute Engine VMs.
As #Dharmaraj mentioned in the comment, GCP introduced a new observability tab designed to give insights into common scenarios and issues associated with CPU, Disk, Memory, Networking, and live processes. With access to all of this data in one location, you can easily correlate between signals over a given time frame.
Finally, the Stackdriver agent can be installed on GCE VMs, allowing additional metrics like memory monitoring. You can also use Stackdriver's notification and alerting features. However, premium-tier accounts are the only ones that can access agent metrics.
I would like to utilize preemptible VM instances in Google Cloud, but sometimes run into supply issues, especially for GPUs
Is there any way to find out what data-center region usually has the best availability for certain (preemptible) resources?
As a even load on the data-centers should be in Google's interest I wonder why there is no such tool easily available. I could not find one at least.
To know the availability of GPUs in different regions please follow the doc.
Also sometimes the error that you are facing “supply issues” is due to the quota, because regarding the quota, it was set to 0 in most of the projects in GCP to avoid abuse of resources and you can request this for increase using the console. The error when deploying with GPU, means that the region you have selected has the resource for the machine type you've chosen and you only need to have a limit of 1 for GPUs in all regions to proceed. You can always request an additional quota limit for GPUS all regions.
GPUs attached to preemptible instances work like normal GPUs but persist only for the life of the instance. Consider requesting dedicated Preemptible GPU quota to use for GPUs on preemptible instances.
I'm trying some stuff on Google Cloud and I have the following issue. Some days ago I created a Deep Learning VM with Compute Engine, with 8 vCPU and 1 Tesla K80 GPU. All worked fine, but now I want to try another GPU with different memory size. So, I deleted the VM instance (from Compute Engine -> VM instances) and I also deleted the deployment from Deployment manager. Nevertheless, when I try to create a new VM, I get an error message referring to the fact that I no more resources available and in fact, in the quotas page, I still see the GPU usage to 1 (with a limit of 1, that's why I can't create a new instance). Does anyone knows what could be the problem? Do I just have to wait? Thank you everyone!
If you receive a resource error (such as ZONE_RESOURCE_POOL_EXHAUSTED or ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS) when requesting new resources, it means that the zone cannot currently accommodate your request.
This error is due to the availability of Compute Engine resources in the zone, So, you could try to create the resources in another zone in the region or in another region.
You can search another available zone on this document: Available regions and zones
If possible, change the shape of the VM you are requesting. It's easier to get smaller machine types than larger ones. A change to your request, such as reducing the number of GPUs or using a custom VM with less memory or vCPUs, might allow your request to proceed.
Also, you can create reservations for Virtual Machine (VM) instances in a specific zone, using custom or predefined machine types, with or without additional GPUs or local SSDs, to ensure resources are available for your workloads when you need them.
Additionally, you can found more information to troubleshoot this issue in the following link
I had a vm instance running on Google Cloud, it's suggested me that "you should resize instance to 2CPU and 16GB RAM from 4CPU and 16GB RAM".
I pressed to Apply to set new config. Instance has stopped and stucked in resize process since an hour, neigher shows resized in gcloud instance list nor starting up.
Even try for taking snapshot of that vm's disk shows error that "it's being used in some operations"
Tried to force stop via gcloud, but no luck. In notification pop-up shows, resizing vm only.
Pls help me here.
The main reason for this issue is GCP resource availability which depends on users requests and therefore is dynamic. As result, issues like this could happen when you use cloud resources on-demand without reservation.
Let's have a look at the cause of this issue:
when you stop an instance it releases some resources like vCPU and memory;
when you start an instance it requests resources like vCPU and memory back;
when you resize your VM it's the same.
In case if there's not enough resources available in the zone you'll get an error message:
The zone 'projects/xyz-project-272905/zones/asia-south1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later..
more details you can find in the documentation:
If you receive a resource error (such as ZONE_RESOURCE_POOL_EXHAUSTED
or ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS) when requesting new
resources, it means that the zone cannot currently accommodate your
request. This error is due to Compute Engine resource obtainability,
and is not due to your Compute Engine quota.
There are a few ways to solve your issue:
Move your instance to another zone by following instructions.
Wait for a while and try to resize your VM instance again.
Reserve resources for your VM by following documentation to avoid such issue in future (extra payment will be required):
Create reservations for Virtual Machine (VM) instances in a specific
zone, using custom or predefined machine types, with or without
additional GPUs or local SSDs, to ensure resources are available for
your workloads when you need them. After you create a reservation, you
begin paying for the reserved resources immediately, and they remain
available for your project to use indefinitely, until the reservation
is deleted.
I'm unable to start the google cloud instance:
Starting VM instance "am01" failed. Error: The zone 'projects/.../zones/asia-south1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later.
Please help me to solve this issue.
Let's have a look at the cause of this issue:
When you stop an instance it releases some resources like vCPU and memory.
When you start an instance it requests resources like vCPU and memory back and if there's not enough resources available in the zone you'll get an error message:
Error: The zone 'projects/imposing-fin-273614/zones/asia-south1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later.
more information available in the documentation:
If you receive a resource error (such as ZONE_RESOURCE_POOL_EXHAUSTED
or ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS) when requesting new
resources, it means that the zone cannot currently accommodate your
request. This error is due to Compute Engine resource obtainability,
and is not due to your Compute Engine quota.
Resource availability are depending from users requests and therefore are dynamic.
There are a few ways to solve your issue:
Move your instance to another zone by following instructions.
Wait for a while and try to start your VM instance again.
Reserve resources for your VM by following documentation to avoid such issue in future:
Create reservations for Virtual Machine (VM) instances in a specific
zone, using custom or predefined machine types, with or without
additional GPUs or local SSDs, to ensure resources are available for
your workloads when you need them. After you create a reservation, you
begin paying for the reserved resources immediately, and they remain
available for your project to use indefinitely, until the reservation
is deleted.