Consuming and managing reservations

This document describes how to consume and manage reservations for Compute Engine zonal resources. Reservations provide a very high level of assurance in obtaining capacity for Compute Engine zonal resources. To learn about reservations, see Reservations for Compute Engine zonal resources. To learn how to create reservations, see Creating a reservation for a single project or Creating a shared reservation.

Before you begin

Consuming reserved instances

When you create a virtual machine (VM) instance, set the instance's reservation affinity flag to choose if the instance can use any available matching reservation (default), use a specific reservation, or use no reservation at all. For an instance to consume from a specific reservation, that reservation must be created with the corresponding specific reservation required flag.

In all cases, a VM instance can only consume a reservation if its properties exactly match reservation's instance properties:

  • Zone
  • Machine type (machine family, vCPUs, and memory)
  • Minimum CPU platform
  • GPU type
  • GPU count
  • Local SSD interface
  • Local SSD count

For more information, see How reservations work.

Consuming instances from any matching reservation

In this model, existing and new instances automatically count against the reservation if those instance's properties match the reserved instance's properties. This model is useful when you create and delete lots of VMs and you want the reservations to be used whenever possible.

When using this consumption model, instances prioritize consuming any matching single-project reservations before consuming any matching shared reservations, since the later are more widely available. For more information about how instances are automatically consumed, see consumption order.

To use this model, exclude the --require-specific-reservation flag when creating your reservations, so that matching instances can consume from these reservations automatically.

Console

  1. Create an open reservation.

    1. In the Cloud Console, go to the Committed use discounts page.

      Go to Committed use discounts

    2. To create a standalone reservation that has no parent commitment, click Create reservation.

    3. Name your reservation, for example: reservation-01.

    4. Under Use with VM instance, select Use reservation automatically, so that any matching instances can automatically use this reservation.

    5. Choose the Region and Zone where you want to reserve resources.

    6. Specify the Number of VM instances that you want to reserve.

    7. Specify the resources that you want each instance to have:

      • Number of vCPUs
      • Minimum CPU platform
      • Amount of memory
      • GPUs
      • Local SSD (as required)
    8. Click the Create button to create the reservation.

  2. Create a VM instance that targets any open reservation and that matches the instance properties in reservation-01, including the zone, machine type (machine family. vCPUs, and memory), minimum CPU platform, GPU amount and type, and local SSD amount and interface.

    1. In the Cloud Console, go to the VM instances page.

      Go to VM instances

    2. Select your project and click Continue.

    3. Click Create instance.

    4. Specify a Name for your instance.

    5. Specify a Machine type that matches the properties of reservation-01. For example, if you specified a minimum CPU platform or GPUs in the reservation, then, to consume the reservation, you must customize this instance to match the reservation.

    6. If your reservation includes local SSDs, under Disks, click Add new disk to add local SSDs that match the reservation's local SSD interface and amount.

    7. Under Management, under Reservations, select Automatically use created reservation.

    8. Click Create.

gcloud

  1. Create an open reservation called reservation-01.

    gcloud compute reservations create reservation-01 \
        --machine-type=n2-standard-32 \
        --min-cpu-platform "Intel Cascade Lake" \
        --vm-count=2 \
        --zone=us-central1-a
    
  2. Create a VM instance that targets any open reservation and that matches the instance properties in reservation-01, including the zone, machine type (machine family. vCPUs, and memory), minimum CPU platform, GPU amount and type, and local SSD amount and interface.

    gcloud compute instances create instance-1 \
        --machine-type=n2-standard-32 \
        --min-cpu-platform "Intel Cascade Lake" \
        --zone=us-central1-a \
        --reservation-affinity=any
    

API

  1. Create an open reservation named reservation-01.

    POST https://compute.googleapis.com/compute/v1/projects/my-project/zones/us-central1-a/reservations
    
    {
      "name":"reservation-01",
      "specificReservation":{
        "count":"2",
        "instanceProperties":{
          "machineType":"n2-standard-32",
          "minCpuPlatform": "Intel Cascade Lake",
        }
      },
      "specificReservationRequired": false
    }
    
  2. Create a VM instance that targets any open reservation and that matches the instance properties in reservation-01, including the zone, machine type (machine family. vCPUs, and memory), minimum CPU platform, GPU amount and type, and local SSD amount and interface.

    POST https://compute.googleapis.com/compute/v1/projects/my-project/zones/us-central1-a/instances
    
    {
      "name": "instance-1",
      "machineType": "zones/us-central1-a/machineTypes/n2-standard-32",
      "minCpuPlatform": "Intel Cascade Lake",
      "reservationAffinity":
      {
        "consumeReservationType": "ANY_RESERVATION"
      },
      ...
    }
    

Consuming instances from a specific reservation

In this model, only new instances that target a specific reservation by name consume that reservation, and the reservation is not consumed automatically. This model is useful, for example, when you want to hold a certain amount of capacity as backup for special events.

When creating the reservation, specify that instances are required to target the specific reservation by using one of the following methods:

  • In the Cloud Console, select the Select specific reservation checkbox.
  • In the gcloud tool, include the --require-specific-reservation flag.
  • In the Compute Engine API, set the specificReservationRequired field to true.

Then create VMs that specifically target that reservation and that match its properties.

If you are using an instance template to create VMs in a regional managed instance group, create identical reservations with the same name in each applicable zone. Then, target the reservations by name in the group's instance template.

For example, create a specific reservation named reservation-02, and then create a matching instance that targets that reservation and that matches the reservation's instance properties.

Depending on the type of instance you want to consume, follow the steps for Consuming a specific single-project reservation or Consuming a specific shared reservation.

Consuming a specific single-project reservation

To consume a specific single-project reservation, use the Cloud Console, gcloud tool, or Compute Engine API.

Console

  1. Create a reservation with resources that can only be used by instances that specifically target this reservation by name.

    1. In the Cloud Console, go to the Committed use discounts page.

      Go to Committed use discounts

    2. Click Create reservation to create a standalone reservation that has no parent commitment.

    3. Name your reservation, for example: reservation-02.

    4. Under Use with VM instance, check Select specific reservation, so that only matching instances that specifically target this reservation by name can use this reservation.

    5. Choose the Region and Zone where you want to reserve resources.

    6. Specify the Number of VM instances that you want to reserve.

    7. Specify the resources that you want each instance to have:

      • Number of vCPUs
      • Minimum CPU platform
      • Amount of memory
      • GPUs
      • Local SSD
    8. Click Create.

  2. Create a VM instance that targets that specific reservation by name.

    Ensure that the instance's properties match the instance properties of that specific reservation, including the zone, machine type (machine family, vCPUs, and memory), minimum CPU platform, GPU amount and type, and local SSD interface and size.

    1. In the Cloud Console, go to the VM instances page.

      Go to VM instances

    2. Select your project and click Continue.

    3. Click the Create instance button.

    4. Specify a Name for your instance.

    5. Specify a Machine type that matches the properties of reservation-01. For example, if you specified a minimum CPU platform in the reservation, then, to consume the reservation, you must customize this instance to match the reservation.

    6. If your reservation includes local SSDs, under Disks, click Add new disk to add local SSDs that match the reservation's local SSD interface and amount.

    7. Under Management, under Reservations, select an available reservation with matching properties, for example: reservation-02.

    8. Click Create to create the instance.

gcloud

  1. Create a reservation named reservation-02 with the --require-specific-reservation flag. These reserved resources can be used only by instances that specifically target this reservation by name.

    gcloud compute reservations create reservation-02 \
        --machine-type=n2-standard-32 \
        --min-cpu-platform "Intel Cascade Lake" \
        --vm-count=10 \
        --zone=us-central1-a \
        --require-specific-reservation
    
  2. Create a VM instance that targets reservation-02 by name by using the --reservation-affinity and --reservation flags.

    Ensure that the instance's properties match the reservation's instance properties, including the zone, machine type (machine family, vCPUs, and memory), minimum CPU platform, GPU amount and type, and local SSD interface and size.

    gcloud compute instances create instance-2 \
        --machine-type=n2-standard-32 \
        --min-cpu-platform "Intel Cascade Lake" \
        --zone=us-central1-a \
        --reservation-affinity=specific \
        --reservation=reservation-02
    

API

  1. Create a reservation named reservation-02 with the specificReservationRequired field set to true.

    POST https://compute.googleapis.com/compute/v1/projects/my-project/zones/us-central1-a/reservations
    
    {
      "name":"reservation-02",
      "specificReservation":{
        "count":"10",
        "instanceProperties":{
          "machineType":"n2-standard-32",
          "minCpuPlatform": "Intel Cascade Lake",
        }
      },
      "specificReservationRequired": true
    }
  2. Create a VM instance that targets reservation-02 by name by using the reservationAffinity field.

    Ensure that the instance's properties match the reservation's instance properties, including the zone, machine type (machine family, vCPUs, and memory), minimum CPU platform, GPU amount and type, and local SSD interface and size.

    POST https://compute.googleapis.com/compute/v1/projects/my-project/zones/us-central1-a/instances
    
    {
      "name": "instance-2",
      "machineType": "zones/us-central1-a/machineTypes/n2-standard-32",
      "minCpuPlatform": "Intel Cascade Lake",
      "reservationAffinity":
      {
        "consumeReservationType": "SPECIFIC_RESERVATION",
        "key": "compute.googleapis.com/reservation-name",
        "values":
        ["reservations/reservation-02"
        ]
      },
      ...
    }

Consuming a specific shared reservation

To consume a specific single-project reservation, use the gcloud tool or Compute Engine API.

gcloud

  1. Create a reservation named reservation-02 with the --require-specific-reservation flag. These reserved resources can be used only by instances that specifically target this reservation by name.

    gcloud compute reservations create reservation-02 \
        --machine-type=n2-standard-32 \
        --min-cpu-platform "Intel Cascade Lake" \
        --vm-count=10 \
        --zone=us-central1-a \
        --project=my-owner-project \
        --share-setting=projects \
        --share-with=project-1,project-2 \
        --require-specific-reservation
    
  2. Create a VM instance that targets reservation-02 by name by using the --reservation-affinity and --reservation flags. To consume this reservation from any consumer projects that this reservation is shared with, you must also specify the project that created the reservation, my-owner-project.

    Ensure that the instance's properties match the reservation's instance properties, including the zone, machine type (machine family, vCPUs, and memory), minimum CPU platform, GPU amount and type, and local SSD interface and size.

    gcloud compute instances create instance-2 \
        --machine-type=n2-standard-32 \
        --min-cpu-platform "Intel Cascade Lake" \
        --zone=us-central1-a \
        --reservation-affinity=specific \
        --reservation=projects/my-owner-project/reservations/reservation-02
    

API

  1. Create a reservation named reservation-02 with the specificReservationRequired field set to true.

    POST https://compute.googleapis.com/compute/v1/projects/my-owner-project/zones/us-central1-a/reservations
    
    {
      "name":"reservation-02",
      "specificReservation":{
        "count":"10",
        "instanceProperties":{
          "machineType":"n2-standard-32",
          "minCpuPlatform": "Intel Cascade Lake",
        }
      },
      "shareSettings": {
        "shareType": "SPECIFIC_PROJECTS",
        "projects": ["project-1", "project-2"],
      }
      "specificReservationRequired": true
    }
  2. Create a VM instance that targets reservation-02 by name by using the reservationAffinity field. To consume this reservation from any consumer projects that this reservation is shared with, you must also specify the project that created the reservation, my-owner-project.

    Ensure that the instance's properties match the reservation's instance properties, including the zone, machine type (machine family, vCPUs, and memory), minimum CPU platform, GPU amount and type, and local SSD interface and size.

    POST https://compute.googleapis.com/compute/v1/projects/project-2/zones/us-central1-a/instances
    
    {
      "name": "instance-2",
      "machineType": "zones/us-central1-a/machineTypes/n2-standard-32",
      "minCpuPlatform": "Intel Cascade Lake",
      "reservationAffinity":
      {
        "consumeReservationType": "SPECIFIC_RESERVATION",
        "key": "compute.googleapis.com/reservation-name",
        "values":
        ["projects/my-owner-project/reservations/reservation-02"
        ]
      },
      ...
    }

Creating instances without consuming reservations

To explicitly avoid consuming resources from any reservation, set the reservation affinity flag to "none" when creating the VM. Or, to implicitly avoid using up any of your reservations, create an instance that doesn't match the instance properties of any of your reservations.

Console

  1. Create an instance that explicitly doesn't consume from a reservation.

    1. In the Cloud Console, go to the VM instances page.

      Go to VM instances

    2. Click Create instance.

    3. Create an instance as usual.

    4. Under Management, under Reservations, select Don't use to ensure that this instance does not consume from any existing reservations.

    5. Click Create.

gcloud

Create an instance that explicitly does not consume from a reservation.

gcloud compute instances create instance-3 --reservation-affinity=none

Or create an instance that does not match the instance properties in any of your reservations. To review your reservation properties, see listing and describing reservations.

API

Create an instance that explicitly does not consume from a reservation.

POST https://compute.googleapis.com/compute/v1/projects/my-project/zones/us-central1-a/instances

{
  "machineType": "zones/us-central1-a/machineTypes/n2-standard-16",
  "name": "instance-3",
  "reservationAffinity":
  {
    "consumeReservationType": "NO_RESERVATION"
  },
  ...
}

Or create an instance that does not match the instance properties in any of your reservations. To review your reservation properties, see listing and describing reservations.

Ensuring utilization of reservations

If you aren't able to consume your reserved resources, confirm that your reservation and instance settings are correct and that your reservations still have instances that are not currently in use. You can do this by verifying that the reservation's instance properties match the instance's properties and that the reservation still has instances that are not currently in use. Alternatively, create a specific reservation, and then create an instance that targets that specific reservation and reviewing any resulting errors.

Verify reservation properties

The reservation's instance properties must match the properties in your instance creation command. To verify:

  1. Describe the reservation. If all of the instances for the reservation are currently in use by other instances, you need to resize the reservation if you want it to be able to reserve additional capacity. Otherwise check the reservation's instance properties specifically for:

    • zone
    • specificReservationRequired
      • If set to true, your instance creation command must target this reservation by name.
    • machineType
    • guestAccelerators.acceleratorType
    • guestAccelerators.acceleratorCount
    • minCpuPlatform
      • If you have a VM instance with a minCpuPlatform, and you want to create a reservation that uses that instance, create the reservation with matching properties, including a matching minCpuPlatform.
      • If you have a reservation with a minCpuPlatform, and you want to create an instance that uses that reservation, create the instance with matching properties, including a matching minCpuPlatform.
    • localSsds.interface
      • If you have a reservation for a VM instance with multiple local SSDs, the VM instance that consumes the reservation must have the same number of local SSDs with matching a localSsds.interface for each local SSD.
  2. Create an instance that matches those properties.

  3. Describe the instance to verify that its properties match the reservation's instance properties. For example, with the gcloud tool, use the instances describe command.

  4. Describe your reservation to check that its inUseCount has incremented.

    • If the inUseCount has not changed, the properties are mismatched.
    • If the inUseCount has incremented, your reservation is being used.

If you still are not able to create a reservation after you have verified the capacity and instance properties of the reservation, then the error might be caused by resource availability. Learn about troubleshooting resource availability.

Target a specific reservation

If you attempt to create an instance that targets a specific reservation, the instance cannot be created unless it matches the reservation's instance properties. Use this method to verify that you have the correct instance properties.

  1. Create a reservation with the specificReservationRequired option.
  2. Create an instance that explicitly matches the reservation's instance properties and that targets the reservation by name through the reservation affinity property.
    • If instance properties are mismatched, you see an error.
    • If instance properties match, your reservation is being used.

If you still are not able to create a reservation after you have verified the capacity and instance properties of the reservation, then the error might be caused by resource availability. Learn about troubleshooting resource availability.

Listing and describing reservations

List and view details about your reservation using the console, the gcloud tool, or the API.

Console

  1. In the Cloud Console, go to the Committed use discounts page.

    Go to Committed use discounts

  2. Click Reservations.

The list of reservations includes details about each reservation. The Machines used (total) column describes the utilization of each reservation. For example, a reservation that displays 25 (50) is a reservation for 50 instances, and 25 of these instances have been consumed and are currently in use.

gcloud

List your reservations with the gcloud compute reservations list command:

gcloud compute reservations list [--filter="zone:('ZONE')"]

NAME             IN_USE_COUNT   COUNT   ZONE
reservation-04   25             50      us-central1-a
reservation-05   0              100     us-central1-b

Describe your reservations with the gcloud compute reservations describe command:

gcloud compute reservations describe RESERVATION_NAME --zone=ZONE

kind: compute#reservation
name: reservation-05
selfLink: https://compute.googleapis.com/compute/v1/projects/my-project/zones/us-east1-d/reservations/reservation-04
specificReservation:
  count: '50'
  inUseCount: '25'
  instanceProperties:
    guestAccelerators:
    - acceleratorCount: 1
      acceleratorType: nvidia-tesla-k80
    localSsds:
    - diskSizeGb: '375'
      interface: SCSI
    machineType: n1-standard-2
    minCpuPlatform: Any CPU Platform
specificReservationRequired: false
status: READY
zone: https://compute.googleapis.com/compute/v1/projects/my-project/zones/us-east1-d    

You can use the count and inUseCount values to determine the utilization of each reservation. In this example, 50 instances are reserved for reservation-04, and 25 of these instances have been consumed from the reservation and are currently in use.

To create an instance that uses this reservation, remember to match the reservation's instance properties. For example:

gcloud compute instances create my-instance \
    --accelerator=type=nvidia-tesla-k80,count=1 \
    --maintenance-policy terminate \
    --local-ssd=size=375,interface=scsi \
    --machine-type n1-standard-2 \
    --zone us-east1-d 

API

In the API, list your reservations by making a GET request to the reservations.list method.

GET https://compute.googleapis.com/compute/v1/projects/PROJECT_ID/zones/ZONE/reservations/RESERVATION_NAME

{
  "id": "4100668622331754141",
  "creationTimestamp": "2019-09-27T08:21:14.707-07:00",
  "selfLink": "https://www.googleapis.com/compute/v1/projects/my-project/zones/us-east1-d/reservations/reservation-03",
  "zone": "https://www.googleapis.com/compute/v1/projects/my-project/zones/us-east1-d",
  "name": "reservation-03",
  "specificReservation": {
    "instanceProperties": {
      "machineType": "n1-standard-2"
    },
    "count": "100",
    "inUseCount": "0"
  },
  "specificReservationRequired": false,
  "status": "READY",
  "kind": "compute#reservation"
},
{
  "id": "2533514314332214789",
  "creationTimestamp": "2019-09-27T08:21:14.707-07:00",
  "selfLink": "https://www.googleapis.com/compute/v1/projects/my-project/zones/us-east1-d/reservations/reservation-04",
  "zone": "https://www.googleapis.com/compute/v1/projects/my-project/zones/us-east1-d",
  "name": "reservation-04",
  "specificReservation": {
    "instanceProperties": {
      "machineType": "n1-standard-2",
      "guestAccelerators": [
        {
          "acceleratorType": "nvidia-tesla-k80",
          "acceleratorCount": 1
        }
      ],
      "minCpuPlatform": "Any CPU Platform",
      "localSsds": [
        {
          "diskSizeGb": "375",
          "interface": "SCSI"
        }
      ]
    },
    "count": "50",
    "inUseCount": "25"
  },
  "specificReservationRequired": false,
  "status": "READY",
  "kind": "compute#reservation"
}

Describe a reservation by calling the reservations.get method.

GET https://compute.googleapis.com/compute/v1/projects/PROJECT_ID/zones/ZONE/reservations/RESERVATION_NAME

{
  "id": "2533514314332214789",
  "creationTimestamp": "2019-09-27T08:21:14.707-07:00",
  "selfLink": "https://www.googleapis.com/compute/v1/projects/my-project/zones/us-east1-d/reservations/reservation-04",
  "zone": "https://www.googleapis.com/compute/v1/projects/my-project/zones/us-east1-d",
  "name": "reservation-04",
  "specificReservationRequired": false,
  "status": "READY",
  "kind": "compute#reservation",
  "specificReservation": {
    "instanceProperties": {
      "machineType": "n1-standard-2",
      "guestAccelerators": [
        {
          "acceleratorType": "nvidia-tesla-k80",
          "acceleratorCount": 1
        }
      ],
      "minCpuPlatform": "Any CPU Platform",
      "localSsds": [
        {
          "diskSizeGb": "375",
          "interface": "SCSI"
        }
      ]
    },
    "count": "50",
    "inUseCount": "25"
  }
}

You can use the count and inUseCount values to determine the utilization of each reservation. In this example 50 instances are reserved, and 25 of these instances have been consumed from the reservation and are currently in use

Modifying reservations

Resize a reservation if you want to change the number of VMs reserved. Delete a reservation if you no longer need it.

You can only resize or delete a reservation if it is not attached to a commitment.

Resizing a reservation

You can resize the number of VMs in a reservation that are not tied to a commitment by using the gcloud tool or the API.

gcloud

Resize your reservation by using the gcloud compute reservations update command. For example:

Create a reservation for two VM instances:

gcloud compute reservations create reservation-01 \
    --machine-type=n2-standard-32 \
    --zone=us-central1-a \
    --vm-count=2

Resize the reservation from two to ten VM instances:

gcloud compute reservations update reservation-01 \
    --zone=us-central1-a \
    --vm-count=10

API

In the API, construct a POST request to the reservations.resize method and include the new specificSkuCount in the request body. The following request body updates the reservation's VM count to 10.

POST https://compute.googleapis.com/compute/v1/projects/<var>PROJECT_ID</var>/zones/<var>ZONE</var>/reservations/<var>RESERVATION_NAME</var>/resize

{"specificSkuCount": "10"}

The update request succeeds if, at the time of the request, there are enough resources in the target zone and sufficient quota in the target region.

Deleting a reservation

You can delete reservations that aren't tied to a commitment by using the console, the gcloud tool, or the API.

Console

  1. In the Cloud Console, go to the Committed use discounts page.

    Go to Committed use discounts

  2. Click Reservations to see a list of your reservations.

  3. Select the checkbox next to each reservation that you want to delete.

  4. Click Delete reservation.

gcloud

You can release reservations by using the delete command:

gcloud compute reservations delete <var>RESERVATION_NAME</var> --zone <var>ZONE</var>

API

In the API, construct a DELETE request to the reservation.delete method.

DELETE https://compute.googleapis.com/compute/v1/projects/<var>PROJECT_ID</var>/zones/<var>ZONE</var>/reservations/<var>RESERVATION_NAME</var>

After the delete command completes successfully, you are no longer charged for the reservation, and the resources are no longer reserved for you. Deleting a reservation has no effect on any running instances that were tied to that reservation; you are still charged for those instances.

Combining reservations with Committed use discounts

A committed use discount provides a 1- or 3-year discounted price agreement, but it does not reserve capacity in a specific zone. A reservation ensures that capacity is held in a specific zone even if the reserved VMs are not running. By combining a reservation with a commitment, you can get discounted, reserved resources.

By default, when you create a reservation, any applicable committed use discounts for cores and memory are automatically applied to your VM instances. However, to get committed use discount rates for GPUs and local SSDs, you must create a reservation for those resources when purchasing the commitment.

After you purchase a commitment, you cannot cancel it. For more information, see Committed use discounts.

Purchasing a commitment for GPUs or local SSDs

To purchase a commitment for GPUs or local SSDs:

  • You must purchase a general-purpose N1 commitment. GPUs are only supported with N1 machine types (with the exception of the A100 GPUs).
  • You must create a reservation that includes either GPUs or local SSDs at the same time when you are purchasing your commitment.
  • You do not need to commit to vCPUs or memory.

You must purchase commitments for specific GPU types. For example, you might purchase either NVIDIA P100s or NVIDIA V100s, but you cannot purchase commitments for NVIDIA P100 GPUs and expect to apply them to other GPU types.

The amount of GPUs and local SSDs that you reserve must be equal to the amount that you commit to. For example, if you want to reserve 4 V100 GPUs, then you must also commit to 4 V100 GPUs. However, the amount of vCPU and memory that you reserve can be more or less than what you commit to.

If you only want to commit to GPUs or local SSDs, you can specify 0 for vCPU and memory commitments. But the reservation that you attach to your commitment must contain the same GPUs and local SSDs as the commitment, as well as the machine types (with vCPUs and memory) that you want to reserve.

Purchase a commitment with an attached reservation using the Cloud Console, the gcloud tool, or the API.

Console

  1. In the Google Cloud Console, go to the Committed use discounts page.

    Go to Committed use discounts

  2. To purchase a new commitment, click Purchase commitment.

  3. Name your commitment, and choose the region where you want it to apply.

  4. For Commitment type, select General Purpose.

  5. Choose a commitment Duration of 1 or 3 years.

  6. Enter the quantity of Cores and Memory that you want to purchase. If you only want to commit to and reserve GPUs or local SSDs without committing to vCPUs and memory, specify 0 for the vCPU and memory commitment quantities.

  7. Click Add GPUs and select the GPU type and Number of GPUs that you want to commit to.

  8. Click Add local SSD and specify the number of disks that you want to commit to.

  9. Click Add new reservation to create one or more reservations for instances that will use the GPUs and local SSDs.

    1. Name your reservation.
    2. Under Use with VM instance:
      • If you want to use this reservation's resources only when creating matching instances that specifically target this reservation by name, select Select specific reservation.
      • If you want matching instances to automatically use this reservation, select Use reservation automatically.
    3. Choose the Zone where you want to reserve resources.
    4. Specify the Number of VM instances that you want to reserve.
    5. Specify the resources that you want to reserve for each instance:
      • If you have an instance template, click Use instance template and select an instance template from the list.
      • Otherwise, click Specify machine type.
        1. Click Customize to use the slider to select the Cores and Memory for your machine type.
        2. Specify the CPU platform.
        3. To add GPUs, enter the number of GPUs and the GPU type.
        4. Optionally, specify the number of Local SSDs that you want to add to each instance and specify the Interface type to use.
    6. Click the Done button to create the reservation.
  10. Click the Purchase button to purchase the commitment.

  11. Read the terms of purchase and click Purchase when you are ready to purchase the commitment.

gcloud

Use the gcloud compute commmitments create command to purchase a commitment, and include flags to create an attached reservation.

For example, the following commitment includes 4 GPUs and a new reservation for those 4 GPUs to be used across 2 n1-standard-32 instances in us-central1-a.

gcloud compute commitments create commitment-01 \
    --region=us-central1 \
    --resources=vcpu=96,memory=624GB \
    --resources-accelerator=type=nvidia-tesla-v100,count=4 \
    --plan 12-month \
    --reservation=reservation-01 \
    --reservation-zone=us-central1-a \
    --machine-type=n1-standard-16 \
    --accelerator=type=nvidia-tesla-v100,count=2 \
    --vm-count=2

If you want to commit to and reserve GPUs or local SSDs without committing to vCPUs and memory, specify 0 for the vCPU and memory commitment quantities.

gcloud compute commitments create commitment-01 \
    --region=us-west2 \
    --resources=vcpu=0,memory=0 \
    --resources-accelerator=type=nvidia-tesla-p4,count=1 \
    --plan 12-month \
    --reservation=reservation-01 \
    --reservation-zone=us-west2-b \
    --machine-type=n1-standard-2 \
    --accelerator=type=nvidia-tesla-p4,count=1 \
    --vm-count=1

To create multiple reservations when purchasing a commitment, use a YAML file that contains the reservation properties. For example:

gcloud compute commitments create commitment-01 \
    --region=us-central1 \
    --resources=vcpu=96,memory=624,local-ssd=750 \
    --resources-accelerator=type=nvidia-tesla-v100,count=1 \
    --plan 12-month \
    --reservations-from-file=YAML_FILE

For example, the following YAML file contains 2 reservations. The first reservation, res-01, contains 1 n1-standard-2 instance with 1 GPU, and it is a targeted reservation, which means that you must specifically target that reservation by name to use its reserved instances. The second reservation, res-02, contains 1 n1-standard-2 VM instance with 2 types of attached local SSDs.

- reservation: res-01
  reservation_zone: us-central1-a
  require_specific_reservation: true
  vm_count: 1
  machine_type: n1-standard-2
  accelerator:
  - count: 1
    type: nvidia-tesla-v100
- reservation: res-02
  reservation_zone: us-central1-a
  vm_count: 1
  machine_type: n1-standard-2
  local_ssd:
  - interface: scsi
    size: 375
  - interface: nvme
    size: 375

API

Use the regionCommitments.insert method and include the reservations field to define the reservation's properties. For example, the following commitment includes 4 GPUs and a reservation for those 4 GPUs to be used across 2 instances in us-central1-a.

POST https://compute.googleapis.com/compute/v1/projects/PROJECT_ID/regions/REGION/commitments

{
  "name": "commitment-01",
  "plan": "TWELVE_MONTH",
  "resources":
  [
    {
      "amount": "96",
      "type": "VCPU"
    },
    {
      "amount": "638976",
      "type": "MEMORY"
    },
    {
      "acceleratorType": "nvidia-tesla-v100",
      "amount": "4",
      "type": "ACCELERATOR"
    }
  ],
  "reservations":
  [
    {
      "name": "reservation-01",
      "specificReservation":
      {
        "count": "2",
        "instanceProperties":
        {
          "guestAccelerators":
          [
            {
              "acceleratorCount": 2,
              "acceleratorType": "nvidia-tesla-v100"
            }
          ],
          "machineType": "n1-standard-8"
        }
      },
      "specificReservationRequired": false,
      "zone": "us-central1-a"
    }
  ]
}

If you only want to commit to and reserve GPUs or local SSDs without committing to vCPUs and memory, specify 0 for the vCPU and memory commitment quantities. For example:

POST https://compute.googleapis.com/compute/v1/projects/PROJECT_ID/regions/REGION/commitments

{
  "name": "commitment-01",
  "plan": "TWELVE_MONTH",
  "resources":
  [
    {
      "amount": "0",
      "type": "VCPU"
    },
    {
      "amount": "0",
      "type": "MEMORY"
    },
    {
      "acceleratorType": "nvidia-tesla-v100",
      "amount": "4",
      "type": "ACCELERATOR"
    }
  ],
  "reservations":
  [
    {
      "name": "reservation-01",
      "specificReservation":
      {
        "count": "2",
        "instanceProperties":
        {
          "guestAccelerators":
          [
            {
              "acceleratorCount": 2,
              "acceleratorType": "nvidia-tesla-v100"
            }
          ],
          "machineType": "n1-standard-8"
        }
      },
      "specificReservationRequired": false,
      "zone": "us-central1-a"
    }
  ]
}

The commitment is successfully created only if there are enough resources in the target zone, and sufficient quota, at the time of the request.

When you create a commitment with an attached reservation, you cannot delete the reservation for the duration of the commitment. When your commitment expires, Compute Engine automatically deletes any attached reservations.

If you need to transfer GPUs or local SSDs across committed reservations, see Modifying reservations that are attached to commitments.

Modifying reservations that are attached to commitments

If a commitment has one or more reservations with GPUs or local SSDs, you can use the gcloud tool or the API to transfer GPUs or local SSDs across those reservations. For example, you might move GPUs from one reservation to a second, new reservation.

Limitations:

  • You can only move resources between two reservations, where one is the source reservation and the other is the destination. The source reservation must already exist; the destination can be an existing or new reservation.
  • The source and destination reservations must be in the same zone.
  • You cannot modify the resource properties in existing reservations; you can only transfer existing resources from one reservation to another.
  • The total amount of GPUs and local SSDs must remain constant.
  • You can only change 100 VMs per request. If you want to update more, call the API multiple times or reach out to Google Cloud Support.
  • You cannot transfer vCPUs or memory or modify other properties of attached reservations.

gcloud

Use the gcloud beta compute commitments update-reservations command.

Create a commitment with one reservation:

  • res-1 has 4 n1-standard-2 instances, each with 1 P100 GPU (4 vCPUs and 4 P100 GPUs). The total reserved resources includes 4 P100 GPUs.
gcloud beta compute commitments create my-commitment-with-reservations \
    --region=asia-east1 \
    --resources=vcpu=10,memory=32GB \
    --resources-accelerator=type=nvidia-tesla-p100,count=4 \
    --plan 12-month \
    --reservations-from-file=one-reservation.yaml

The one-reservation.yaml file contains:

- reservation: res-1
  reservation_zone: asia-east1-a
  require_specific_reservation: true
  vm_count: 4
  machine_type: n1-standard-2
  accelerator:
  - count: 1
    type: nvidia-tesla-p100

Update the commitment to transfer some resources from res-1 to a new, second reservation, res-2. In this example:

  • Modify res-1 to have 2 n1-standard-2 instances, each with 2 P100 GPUs (2 vCPU and 2 P100 GPUs).
  • Add res-2 to have 2 n1-standard-2 instances each with 1 P100 GPU (4 vCPUs and 2 P100 GPUs).

The total number of reserved GPUs within the commitment remains constant at 4.

gcloud beta compute commitments update-reservations my-commitment-with-reservations \
    --region=us-central1 \
    --reservations-from-file=two-reservations.yaml

The two-reservations.yaml file contains:

- reservation: res-1
  reservation_zone: asia-east1-a
  require_specific_reservation: true
  vm_count: 2
  machine_type: n1-standard-2
  accelerator:
  - count: 1
    type: nvidia-tesla-p100
- reservation: res-2
  reservation_zone: asia-east1-a
  require_specific_reservation: true
  vm_count: 2
  machine_type: n1-standard-2
  accelerator:
  - count: 1
    type: nvidia-tesla-p100

API

Use the regionCommitments.updateReservations method.

For example, create a commitment with the following reservation:

  • res-1 has 4 n1-standard-2 instances each with 1 nvidia-tesla-p100 GPU (4 vCPUs and 4 P100 GPUs).

In this example, the total reserved resources includes 4 P100 GPUs.

POST https://compute.googleapis.com/compute/beta/projects/my-project/regions/asia-east1/commitments/my-commitment-with-reservation/updateReservations

{
  "name": "my-commitment-with-reservation",
  "plan": "TWELVE_MONTH",
  "reservations":
  [
    {
      "name": "res-1",
      "specificReservation":
      {
        "count": "4",
        "instanceProperties":
        {
          "guestAccelerators":
          [
            {
              "acceleratorCount": 1,
              "acceleratorType": "nvidia-tesla-p100"
            }
          ],
          "machineType": "n1-standard-2"
        }
      },
      "specificReservationRequired": true,
      "zone": "asia-east1-a"
    }
  ],
  "resources":
  [
    {
      "amount": "10",
      "type": "VCPU"
    },
    {
      "amount": "32768",
      "type": "MEMORY"
    },
    {
      "acceleratorType": "nvidia-tesla-p100",
      "amount": "4",
      "type": "ACCELERATOR"
    }
  ]
}

Update the commitment to transfer some resources from res-1 to a new, second reservation, res-2. In this example:

  • Modify res-1 to have 2 n1-standard-2 instances, each with 2 P100 GPUs (2 vCPU and 2 P100 GPUs).
  • Add res-2 to have 2 n1-standard-2 instances each with 1 P100 GPU (4 vCPUs and 2 P100 GPUs).

The total number of reserved GPUs within the commitment remains constant at 4.

POST https://compute.googleapis.com/compute/beta/projects/my-project/regions/asia-east1/commitments/my-commitment-with-reservation/updateReservations

{
  "reservations":
  [
    {
      "name": "res-1",
      "specificReservation":
      {
        "count": "2",
        "instanceProperties":
        {
          "guestAccelerators":
          [
            {
              "acceleratorCount": 1,
              "acceleratorType": "nvidia-tesla-p100"
            }
          ],
          "machineType": "n1-standard-2"
        }
      },
      "specificReservationRequired": true,
      "zone": "asia-east1-a"
    },
    {
      "name": "res-2",
      "specificReservation":
      {
        "count": "2",
        "instanceProperties":
        {
          "guestAccelerators":
          [
            {
              "acceleratorCount": 1,
              "acceleratorType": "nvidia-tesla-p100"
            }
          ],
          "machineType": "n1-standard-2"
        }
      },
      "specificReservationRequired": true,
      "zone": "asia-east1-a"
    }
  ]
}

Viewing reservation usage reports

Export detailed reports of your Compute Engine usage to a Cloud Storage bucket using the usage export feature. See Viewing usage reports for instructions.

The usage report shows:

  • Reserved resources that are in use. These entries appear as normal vCPU, memory, GPU, and local SSD resources.
  • Reserved resources that are not in use. These entries have normal SKU names and reservation resource URIs.
  • Total reserved resources. These entries have reservation SKU names and reservation resource URIs. There are no costs associated with these entries. Use these entries to calculate how much of your reservations you are using.
Measurement MeasurementId format Resource URI format
Reserved resources that are in use com.google.cloud/services/compute-engine/SKU_NAME https://compute.googleapis.com/compute/v1/projects/PROJECT_ID/zones/ZONE/RESOURCE_TYPE/RESOURCE_NAME.

For example, https://compute.googleapis.com/compute/v1/projects/my-project/zones/us-central1-a/instances/my-instance
Reserved resources that are not in use com.google.cloud/services/compute-engine/SKU_NAME https://compute.googleapis.com/compute/v1/projects/PROJECT_ID/zones/ZONE/reservations/RESERVATION_NAME.

For example, https://compute.googleapis.com/compute/v1/projects/my-project/zones/europe-west1-a/reservations/my-reservation
Total reserved resources com.google.cloud/services/compute-engine/ReservationSKU_NAME https://compute.googleapis.com/compute/v1/projects/PROJECT_ID/zones/ZONE/reservations/RESERVATION_NAME.

For example, https://compute.googleapis.com/compute/v1/projects/my-project/zones/europe-west1-a/reservations/my-reservation

For example, in the following snippet from a usage report for a reservation named my-reservation:

  • Row 1 shows reserved RAM that is currently in use. The row's ResourceId shows that this RAM is used by an instance named my-instance.
  • Row 2 shows reserved RAM that is not in use. The row's ResourceId shows that this reserved RAM is held by my-reservation; it is not yet used by any instance.
  • Row 3 shows the reservation's total reserved RAM.
Report Date,MeasurementId,Quantity,Unit,Resource URI,ResourceId,Location
2019-06-06,com.google.cloud/services/compute-engine/VmimageN2StandardRam,166970074857472,byte-seconds,https://compute.googleapis.com/compute/v1/projects/my-project/zones/us-central2-a/instances/my-instance,1775485842510981624,us-central2-a
2019-06-06,com.google.cloud/services/compute-engine/VmimageN2StandardRam,166970074857472,byte-seconds,https://compute.googleapis.com/compute/v1/projects/my-project/zones/us-central2-a/reservations/my-reservation,7.58809E+17,us-central2-a
2019-06-06,com.google.cloud/services/compute-engine/ReservationN2StandardRam,333940149714944,byte-seconds,https://compute.googleapis.com/compute/v1/projects/my-project/zones/us-central2-a/reservations/my-reservation,7.58809E+17,us-central2-a
...

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