Compute Engine enforces quotas on resource usage for a variety of reasons. For example, quotas protect the community of Google Cloud Platform users by preventing unforeseen spikes in usage. Google Cloud Platform also offers Free trial quotas that provides limited access for projects that are just exploring Google Cloud Platform on a free trial basis.
Not all projects have the same quotas. As your use of Google Cloud Platform expands over time, your quotas may increase accordingly. If you expect a notable upcoming increase in usage, you can proactively request quota adjustments from the Quotas page in the GCP Console.
Checking your quota
To check the available quota for resources in your project, go to the Quotas page in the Google Cloud Platform Console.
If you are using the
gcloud command-line tool, run the following command to
check your quotas. Replace
myproject with your own project ID:
gcloud compute project-info describe --project myproject
To check your used quota in a region, run:
gcloud compute regions describe example-region
Requesting an increase in quota
Request changes to quota from the Quotas page in the GCP Console. There is no charge for requesting an increase in quota. Your costs increase only if you use more resources.
Permission for editing quota
In order to change your quotas, you must have
serviceusage.quotas.update permission. This permission is included by default
for the following predefined roles: Owner,
Editor, and Quota Administrator.
Request a change to quota
- Go to the Quotas page.
- In the Quotas page, select the quotas you want to change.
- Click the Edit Quotas button on the top of the page.
- Check the box of the service you want to edit.
- Fill out your name, email, and phone number and click Next.
- Enter your request to increase your quota and click Next.
- Submit your request.
- A request to decrease quota is rejected by default. If you must reduce your quota, reply to the support email with an explanation of your requirements. A support representative will respond to your request.
You will receive a response from the Compute Engine team within 24 to 48 hours of your request.
Plan and request additional resources at least a few days in advance to ensure that there is enough time to fulfill your request.
Quotas and Resource Availability
Resource quotas are the maximum number of resources you can create of that
resource type, if those resources are available. Quotas do not guarantee
that resources will be available at all times. If a resource is not available,
or if the region you choose is out of the resource, you will not be able to create
new resources of that type, even if you have remaining quota in your region
or project. For example, you might still have quota to create new external IP
us-central1, but there might not be available IP addresses in
Similarly, even if you have a regional quota, it is possible that a resource
might not be available in a specific zone. For example, you might have quota in
us-central1 to create VM instances, but might not be able to create
VM instances in the zone
us-central1-a if the zone is depleted. In such cases,
try creating the same resource in another zone, such as
Situations where a resource might be depleted on a regional level are rare. To learn more about your options during these occasions, review the Compute Engine SLA.
Understanding VM, CPU, and IP address quotas
When planning your virtual machine (VM) instance needs, there are a number of quotas to consider that affect how many VM instances you can create.
Regional and global quotas
VM quotas are managed at the regional level. VM instance, instance group, CPU, and Disk quotas can be consumed by any VM in the region, regardless of zone. For example, CPU quota is a regional quota so there is a different limit and usage count for each region. To launch an n1-standard-16 instance in any zone in the us-central1 region, you will need enough quota for at least 16 CPUs in us-central1.
Networking and load balancing quotas are required to create firewalls, load balancers, networks, and VPNs. These are global quotas that do not depend on a region. Any region can use a global quota. For example, in-use and static external IP addresses assigned to load balancers and HTTP(S) proxies consume global quotas.
CPU quota refers to the total number of virtual CPUs across all running VM instances in a region. CPU quota apply only to running instances. Both normal and preemptible instances consume this quota.
To protect Compute Engine systems and other users, some new accounts
and projects will also have a global
CPUs (All Regions) quota that applies to
all regions and is measured as a sum of running vCPUs in all regions.
For example, if you have 48 vCPUs remaining in a single region such as
us-central1 but only 32 vCPUs remaining for the
CPUs (All Regions) quota,
you can launch only 32 vCPUs in the us-central1 region, even though there is
remaining quota in the region. This is because you will reach the
CPU (All Regions) quota and need to delete existing instances to be able
to launch new instances.
Similar to virtual CPU quota, GPU quota refers to the total number of virtual GPUs in all VM instances in a region. Check the quotas page to ensure that you have enough GPUs available in your project, and to request a quota increase. In addition, new accounts and projects have a global GPU quota that applies to all regions.
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.
The VM instances quota is a regional quota and limits the number of VM instances that can exist in a given region, regardless of whether the VM is running or not. This quota is not visible in the Google Cloud Platform Console but it is set automatically by Compute Engine to be 10x your regular CPU quota. You do not need to request this quota. If you need quota for more VM instances, you should request more CPUs which will in turn also increase this quota. The quota applies to both running and non-running VMs, and to normal and preemptible instances.
Quotas for preemptible resources
To use preemptible CPUs or GPUs attached to preemptible VM instances, or to use local SSDs attached to preemptible VM instances, you must have available quota in your project for the respective resource.
You can request special preemptible quotas for:
Preemptible GPUs, or
Preemptible Local SSDs (GB)
However, if your project does not have preemptible quota, you can still use the
regular quota to launch preemptible resources.
After Compute Engine grants you preemptible quota in a region, all preemptible instances will count against preemptible quota automatically.
The following persistent disk and local SSD quotas apply on a per-region basis:
Local SSD (GB)- This is the total combined size of local SSD disk partitions that can be attached to VMs in a region. Local SSD is a fast, ephemeral disk that should be used for scratch, local cache, or processing jobs with high fault tolerance, as the disk is not intended to survive VM instance reboots. Local SSD partitions are sold in increments of 375 GB and up to eight local SSD partitions can be attached to a single VM. In the
gcloudtool and the API, this is referred to as
Persistent Disk Standard (GB)- This is the total size of standard persistent disks that can be created in a region. As described in Optimizing Persistent Disk and Local SSD Performance, standard persistent disk offers lower IOPS and throughput than SSD persistent disks or local SSD. It is cost effective as large durable disks for storage, as boot disks, and for serial write processes like logs. Standard persistent disks are durable and are available indefinitely to attach to a VM within the same zone. In the
gcloudtool and the API, this is referred to as
DISKS_TOTAL_GB. This quota also applies to regional standard persistent disks, but regional disks consume twice the amount of quota per GB due to replication in two zones within a region.
Persistent Disk SSD (GB)- This is the total combined size of SSD persistent disks partitions which can be created in a region. SSD persistent disks have multiple replicas and, as described in Optimizing Persistent Disk and Local SSD Performance, offers higher IOPS and throughput than standard persistent disks. SSD persistent disks are cost effective for durable storage with high I/O requirements. SSD persistent disks are available indefinitely to attach to a VM within the same zone. In the
gcloudtool and the API, this is referred to as
SSD_TOTAL_GB. This quota is separate from Local SSD. This quota also applies to regional SSD persistent disks, but regional disks consume twice the amount of quota per GB due to replication in two zones within a region.
You will need to have enough IP addresses for every VM that needs to be reachable from the public Internet. Regional IP quota is for assigning IPv4 addresses to VMs in that region, if desired, and Global IP quota is for assigning IPv4 addresses to global networking resources such as firewalls, HTTP proxies and load balancers. There are a few types of IP addresses to consider, depending on your needs.
- In-use IP address: Includes both ephemeral and static IP addresses that are currently being used by a resource. In-use IP addresses do not incur charges but static unused IP address do incur charges.
- Static IP addresses: External IP addresses reserved for your resources that persists through machine restarts. You can register these addresses with DNS and domain provider services to provide a user-friendly address. For example, www.example-site.com.