Create a reservation for a single project

This document explains how to create a single-project reservation, which can be consumed only by virtual machine (VM) instances in the same project. To learn more about reservations, see Reservations of Compute Engine zonal resources.

For other methods of creating reservations, see instead the following pages:

  • If you have any 1-year or 3-years commitments in the current project, then your reserved resources automatically receive any applicable committed use discounts. You can also create and attach a reservation to a commitment when you purchase the commitment. To learn more, see Attach reservations to commitments.

  • To create a reservation that can be used by multiple projects, see Create a shared reservation.

Before you begin

  • Review the requirements and restrictions for reservations.
  • If you haven't already, then set up authentication. Authentication is the process by which your identity is verified for access to Google Cloud services and APIs. To run code or samples from a local development environment, you can authenticate to Compute Engine by selecting one of the following options:

    Select the tab for how you plan to use the samples on this page:

    Console

    When you use the Google Cloud console to access Google Cloud services and APIs, you don't need to set up authentication.

    gcloud

    1. Install the Google Cloud CLI, then initialize it by running the following command: 

      gcloud init
    2. Set a default region and zone.

    Terraform

    To use the Terraform samples on this page in a local development environment, install and initialize the gcloud CLI, and then set up Application Default Credentials with your user credentials.

    1. Install the Google Cloud CLI.

    2. To initialize the gcloud CLI, run the following command: 

      gcloud init

    3. If you're using a local shell, then create local authentication credentials for your user account: 

      gcloud auth application-default login

      You don't need to do this if you're using Cloud Shell.

    For more information, see Set up authentication for a local development environment.

    REST

    To use the REST API samples on this page in a local development environment, you use the credentials you provide to the gcloud CLI.

      Install the Google Cloud CLI, then initialize it by running the following command: 

      gcloud init

    For more information, see Authenticate for using REST in the Google Cloud authentication documentation.

Required roles

To get the permissions that you need to create single-project reservations, ask your administrator to grant you the Compute Admin (roles/compute.admin) IAM role on the project. For more information about granting roles, see Manage access to projects, folders, and organizations.

This predefined role contains the permissions required to create single-project reservations. To see the exact permissions that are required, expand the Required permissions section:

Required permissions

The following permissions are required to create single-project reservations:

  • compute.reservations.create on the project
  • To specify an instance template: compute.instanceTemplates.useReadOnly on the instance template

You might also be able to get these permissions with custom roles or other predefined roles.

Create a single-project reservation

To consume a reservation, a VM must have properties that exactly match that reservation. To specify the properties of the VMs that you want to reserve, select one of the following sections in this document:

  • Recommended: Specify an instance template

    This section explains how to use an instance template to define the properties of a reservation. By using an instance template, you can define the properties of a reservation and the VMs that can consume the reservation in the same place.

  • Specify an existing VM

    This section explains how to use an existing VM to define the properties of a reservation. By using the properties of an existing VM, you can consume the reservation by creating VMs with properties that match the reference VM.

  • Specify properties directly

    This section explains how to directly define the properties of a reservation. This method requires you to manually ensure that the properties of your VMs and reservations exactly match—any mismatched properties prevent consumption.

By default, a reservation can be automatically consumed by any VMs with properties that match it. If you want to control reservation consumption, do one or more of the following:

Additionally, you can specify a compact placement policy when creating a single-project reservation. A compact placement policy specifies that VMs are to be located as close to each other as possible to reduce network latency.

Specify an instance template

To avoid errors when creating a reservation by specifying an instance template, make sure of the following:

  • Create your reservation in the same region and zone as the resources within the instance template. Any regional or zonal resources specified in an instance template—such as a machine type or a Persistent Disk volume—restrict the use of the template to the locations where those resources exist. For example, if your instance template specifies an existing Persistent Disk volume in zone us-central1-a, then you can only create your reservation in the same zone. To check if an existing template specifies any resources that bind the template to a specific region or zone, view the details of the instance template and look for references to regional or zonal resources inside of it.

  • If the instance template specifies a compact placement policy, then make sure that the template specifies a supported machine type for compact placement policies. Otherwise, creating the reservation fails.

To create a single-project reservation by specifying an instance template, select one of the following options:

Console

  1. In the Google Cloud console, go to the Reservations page.

    Go to Reservations

  2. On the On-demand reservations tab (default), click Create reservation.

    The Create a reservation page opens.

  3. For Name, enter a name for your reservation.

  4. For Region and Zone, select where you want to reserve resources.

  5. In the Share type section, select Local if it isn't already selected.

  6. Optional: To allow a reservation of GPU VMs to be consumed by custom training jobs or prediction jobs in Vertex AI, in the Google Cloud services section, select Share reservation.

  7. In the Use with VM instance section, select one of the following options:

    • To allow matching VMs to automatically consume this reservation, select Use reservation automatically if it isn't already selected.

    • To consume this reservation's resources only when creating matching VMs that specifically target this reservation by name, select Select specific reservation.

  8. For Number of VM instances, enter the number of VMs that you want to reserve.

  9. In the Machine configuration section, do the following:

    1. To specify the properties of your VMs from an existing instance template, select Use instance template.

    2. In the Instance template field, select the instance template of your choice. If you select a regional instance template, then you can only reserve resources within the region of the instance template.

  10. In the Auto-delete section, you can enable the auto-delete option to let Compute Engine automatically delete the reservation at a specific date and time. Automatically deleting reservations can be useful to avoid unnecessary charges when you stop consuming the reservation.

  11. To create the reservation, click Create.

    The Reservations page opens. Creating the single-project reservation might take up to a minute to complete.

gcloud

To create a single-project reservation, use the gcloud compute reservations create command.

To create a single-project reservation by specifying an instance template and without including any optional flags, run the following command:

gcloud compute reservations create RESERVATION_NAME \
    --source-instance-template=projects/PROJECT_ID/LOCATION/instanceTemplates/INSTANCE_TEMPLATE_NAME \
    --vm-count=NUMBER_OF_VMS \
    --zone=ZONE

Replace the following:

  • RESERVATION_NAME: the name of the reservation to create.

  • PROJECT_ID: the ID of the project where you want to reserve resources and where the instance template exists.

  • LOCATION: the location of the instance template. Specify one of the following values:

    • For a global instance template: global.

    • For a regional instance template: regions/REGION. Replace REGION with the region where the instance template is located. If you specify a regional instance template, then you can only reserve VMs within the same region as the template's region.

  • INSTANCE_TEMPLATE_NAME: the name of an existing instance template. If the instance template specifies an A3 machine type or a compact placement policy, then you must include the --require-specific-reservation flag. This indicates that only VMs that specifically target the reservation can consume it. For more information, see Consume VMs from a specific reservation.

  • NUMBER_OF_VMS: the number of VMs to reserve.

  • ZONE: the zone in which to reserve resources.

For example, to create a reservation for ten VMs in zone us-central1-a by specifying a global instance template, run the following command:

gcloud compute reservations create my-reservation \
    --source-instance-template=projects/example-project/global/example-instance-template \
    --vm-count=10 \
    --zone=us-central1-a

Optionally, you can do one or more of the following:

  • To specify that only VMs that specifically target this reservation can consume it, include the --require-specific-reservation flag.

    gcloud compute reservations create RESERVATION_NAME \
    --source-instance-template=projects/PROJECT_ID/LOCATION/instanceTemplates/INSTANCE_TEMPLATE_NAME \
    --require-specific-reservation \
    --vm-count=NUMBER_OF_VMS \
    --zone=ZONE

  • To allow a reservation of GPU VMs to be consumed by custom training jobs or prediction jobs in Vertex AI, use the gcloud beta compute reservations create command with the --reservation-sharing-policy=ALLOW_ALL flag.

    gcloud beta compute reservations create RESERVATION_NAME \
    --source-instance-template=projects/PROJECT_ID/LOCATION/instanceTemplates/INSTANCE_TEMPLATE_NAME \
    --reservation-sharing-policy=ALLOW_ALL \
    --vm-count=NUMBER_OF_VMS \
    --zone=ZONE

  • To enable Compute Engine to automatically delete the reservation, select one of the following methods:

    • To delete the reservation at a specific date and time, use the gcloud beta compute reservations create command with the --delete-at-time flag.

      gcloud beta compute reservations create RESERVATION_NAME \
    --delete-at-time=DELETE_AT_TIME \
    --source-instance-template=projects/PROJECT_ID/LOCATION/instanceTemplates/INSTANCE_TEMPLATE_NAME \
    --vm-count=NUMBER_OF_VMS \
    --zone=ZONE

      Replace DELETE_AT_TIME with a date and time formatted as an RFC 3339 timestamp, which must be as follows: none YYYY-MM-DDTHH:MM:SSOFFSET

      Replace the following:

      • YYYY-MM-DD: a date formatted as a 4-digit year, 2-digit month, and a 2-digit day of the month, separated by hyphens (-).

      • HH:MM:SS: a time formatted as a 2-digit hour using a 24-hour time, 2-digit minutes, and 2-digit seconds, separated by colons (:).

      • OFFSET: the time zone formatted as an offset of Coordinated Universal Time (UTC). For example, to use the Pacific Standard Time (PST), specify -08:00. Alternatively, to use no offset, specify Z.

    • To delete the reservation after a specific duration, use the gcloud beta compute reservations create command with the --delete-after-duration flag.

      gcloud beta compute reservations create RESERVATION_NAME \
    --delete-after-duration=DELETE_AFTER_DURATION \
    --source-instance-template=projects/PROJECT_ID/LOCATION/instanceTemplates/INSTANCE_TEMPLATE_NAME \
    --vm-count=NUMBER_OF_VMS \
    --zone=ZONE

      Replace DELETE_AFTER_DURATION with a duration in days, hours, minutes, or seconds. For example, specify 30m for 30 minutes, or 1d2h3m4s for 1 day, 2 hours, 3 minutes, and 4 seconds.

Go 

import (
	"context"
	"fmt"
	"io"

	compute "cloud.google.com/go/compute/apiv1"
	computepb "cloud.google.com/go/compute/apiv1/computepb"
	"google.golang.org/protobuf/proto"
)

// Creates the reservation from given template in particular zone
func createReservation(w io.Writer, projectID, zone, reservationName, sourceTemplate string) error {
	// projectID := "your_project_id"
	// zone := "us-west3-a"
	// reservationName := "your_reservation_name"
	// template: existing template path. Following formats are allowed:
	//  	- projects/{project_id}/global/instanceTemplates/{template_name}
	//  	- projects/{project_id}/regions/{region}/instanceTemplates/{template_name}
	//  	- https://www.googleapis.com/compute/v1/projects/{project_id}/global/instanceTemplates/instanceTemplate
	//  	- https://www.googleapis.com/compute/v1/projects/{project_id}/regions/{region}/instanceTemplates/instanceTemplate

	ctx := context.Background()
	reservationsClient, err := compute.NewReservationsRESTClient(ctx)
	if err != nil {
		return err
	}
	defer reservationsClient.Close()

	req := &computepb.InsertReservationRequest{
		Project: projectID,
		ReservationResource: &computepb.Reservation{
			Name: proto.String(reservationName),
			Zone: proto.String(zone),
			SpecificReservation: &computepb.AllocationSpecificSKUReservation{
				Count:                  proto.Int64(2),
				SourceInstanceTemplate: proto.String(sourceTemplate),
			},
		},
		Zone: zone,
	}

	op, err := reservationsClient.Insert(ctx, req)
	if err != nil {
		return fmt.Errorf("unable to create reservation: %w", err)
	}

	if err = op.Wait(ctx); err != nil {
		return fmt.Errorf("unable to wait for the operation: %w", err)
	}

	fmt.Fprintf(w, "Reservation created\n")

	return nil
}

Java 

import com.google.cloud.compute.v1.AllocationSpecificSKUReservation;
import com.google.cloud.compute.v1.Operation;
import com.google.cloud.compute.v1.Reservation;
import com.google.cloud.compute.v1.ReservationsClient;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;

public class CreateReservationForInstanceTemplate {

  public static void main(String[] args)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    // TODO(developer): Replace these variables before running the sample.
    // Project ID or project number of the Cloud project you want to use.
    String projectId = "YOUR_PROJECT_ID";
    // Name of the zone in which you want to create the reservation.
    String zone = "us-central1-a";
    // Name of the reservation you want to create.
    String reservationName = "YOUR_RESERVATION_NAME";
    // The number of virtual machines you want to create.
    int numberOfVms = 3;
    // The URI of the instance template with GLOBAL location
    // to be used for creating the reservation.
    String instanceTemplateUri =
        "projects/YOUR_PROJECT_ID/global/instanceTemplates/YOUR_INSTANCE_TEMPLATE_NAME";
    // The URI of the instance template with REGIONAL location
    // to be used for creating the reservation. For us-central1 region in this case.
    // String instanceTemplateUri =
    // "projects/YOUR_PROJECT_ID/regions/us-central1/instanceTemplates/YOUR_INSTANCE_TEMPLATE_NAME"

    createReservationForInstanceTemplate(
        projectId, reservationName, instanceTemplateUri, numberOfVms, zone);
  }

  // Creates a reservation in a project for the instance template.
  public static Reservation createReservationForInstanceTemplate(
      String projectId, String reservationName, String instanceTemplateUri,
      int numberOfVms, String zone)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests.
    try (ReservationsClient reservationsClient = ReservationsClient.create()) {
      Reservation reservation =
          Reservation.newBuilder()
              .setName(reservationName)
              .setZone(zone)
              .setSpecificReservation(
                  AllocationSpecificSKUReservation.newBuilder()
                      // Set the number of instances
                      .setCount(numberOfVms)
                      // Set the instance template to be used for creating the reservation.
                      .setSourceInstanceTemplate(instanceTemplateUri)
                      .build())
              .build();

      Operation response =
          reservationsClient.insertAsync(projectId, zone, reservation).get(3, TimeUnit.MINUTES);

      if (response.hasError()) {
        return null;
      }
      return reservationsClient.get(projectId, zone, reservationName);
    }
  }
}

Node.js 

// Import the Compute library
const computeLib = require('@google-cloud/compute');
const compute = computeLib.protos.google.cloud.compute.v1;

// Instantiate a reservationsClient
const reservationsClient = new computeLib.ReservationsClient();
// Instantiate a zoneOperationsClient
const zoneOperationsClient = new computeLib.ZoneOperationsClient();

/**
 * TODO(developer): Update/uncomment these variables before running the sample.
 */
// The ID of the project where you want to reserve resources and where the instance template exists.
const projectId = await reservationsClient.getProjectId();
// The zone in which to reserve resources.
const zone = 'us-central1-a';
// The name of the reservation to create.
// reservationName = 'reservation-01';
// The number of VMs to reserve.
const vmsNumber = 3;

/**
 * The name of an existing instance template.
 * TODO(developer): Uncomment and update instanceTemplateName before running the sample.
 */
// const instanceTemplateName = 'pernament-region-template-name';

/**
 * // The location of the instance template.
 * TODO(developer): Uncomment the `location` variable depending on which template you want to use.
 */

// The location for a regional instance template: regions/{region}. Replace region with the region where the instance template is located.
// If you specify a regional instance template, then you can only reserve VMs within the same region as the template's region.
// const location = `regions/${zone.slice(0, -2)}`;

// The location for a global instance template.
// const location = 'global';

async function callCreateComputeReservationInstanceTemplate() {
  // Create reservation for 3 VMs in zone us-central1-a by specifying a instance template.
  const specificReservation = new compute.AllocationSpecificSKUReservation({
    count: vmsNumber,
    sourceInstanceTemplate: `projects/${projectId}/${location}/instanceTemplates/${instanceTemplateName}`,
  });

  // Create a reservation.
  const reservation = new compute.Reservation({
    name: reservationName,
    specificReservation,
    // To specify that only VMs that specifically target this reservation can consume it,
    // set specificReservationRequired field to true.
    specificReservationRequired: true,
  });

  const [response] = await reservationsClient.insert({
    project: projectId,
    reservationResource: reservation,
    zone,
  });

  let operation = response.latestResponse;

  // Wait for the create reservation operation to complete.
  while (operation.status !== 'DONE') {
    [operation] = await zoneOperationsClient.wait({
      operation: operation.name,
      project: projectId,
      zone: operation.zone.split('/').pop(),
    });
  }

  console.log(`Reservation: ${reservationName} created.`);
}

await callCreateComputeReservationInstanceTemplate();

Python 

from __future__ import annotations

import sys
from typing import Any

from google.api_core.extended_operation import ExtendedOperation
from google.cloud import compute_v1


def wait_for_extended_operation(
    operation: ExtendedOperation, verbose_name: str = "operation", timeout: int = 300
) -> Any:
    """
    Waits for the extended (long-running) operation to complete.

    If the operation is successful, it will return its result.
    If the operation ends with an error, an exception will be raised.
    If there were any warnings during the execution of the operation
    they will be printed to sys.stderr.

    Args:
        operation: a long-running operation you want to wait on.
        verbose_name: (optional) a more verbose name of the operation,
            used only during error and warning reporting.
        timeout: how long (in seconds) to wait for operation to finish.
            If None, wait indefinitely.

    Returns:
        Whatever the operation.result() returns.

    Raises:
        This method will raise the exception received from `operation.exception()`
        or RuntimeError if there is no exception set, but there is an `error_code`
        set for the `operation`.

        In case of an operation taking longer than `timeout` seconds to complete,
        a `concurrent.futures.TimeoutError` will be raised.
    """
    result = operation.result(timeout=timeout)

    if operation.error_code:
        print(
            f"Error during {verbose_name}: [Code: {operation.error_code}]: {operation.error_message}",
            file=sys.stderr,
            flush=True,
        )
        print(f"Operation ID: {operation.name}", file=sys.stderr, flush=True)
        raise operation.exception() or RuntimeError(operation.error_message)

    if operation.warnings:
        print(f"Warnings during {verbose_name}:\n", file=sys.stderr, flush=True)
        for warning in operation.warnings:
            print(f" - {warning.code}: {warning.message}", file=sys.stderr, flush=True)

    return result


def create_reservation_from_template(
    project_id: str, reservation_name: str, template: str
) -> compute_v1.Reservation:
    """
    Create a new reservation based on an existing template.

    Args:
        project_id: project ID or project number of the Cloud project you use.
        reservation_name: the name of new reservation.
        template: existing template path. Following formats are allowed:
            - projects/{project_id}/global/instanceTemplates/{template_name}
            - projects/{project_id}/regions/{region}/instanceTemplates/{template_name}
            - https://www.googleapis.com/compute/v1/projects/{project_id}/global/instanceTemplates/instanceTemplate
            - https://www.googleapis.com/compute/v1/projects/{project_id}/regions/{region}/instanceTemplates/instanceTemplate

    Returns:
        Reservation object that represents the new reservation.
    """

    reservations_client = compute_v1.ReservationsClient()
    request = compute_v1.InsertReservationRequest()
    request.project = project_id
    request.zone = "us-central1-a"

    specific_reservation = compute_v1.AllocationSpecificSKUReservation()
    specific_reservation.count = 1
    specific_reservation.source_instance_template = template

    reservation = compute_v1.Reservation()
    reservation.name = reservation_name
    reservation.specific_reservation = specific_reservation

    request.reservation_resource = reservation
    operation = reservations_client.insert(request)
    wait_for_extended_operation(operation, "Reservation creation")

    return reservations_client.get(
        project=project_id, zone="us-central1-a", reservation=reservation_name
    )

REST

To create a single-project reservation, make a POST request to the reservations.insert method.

To create a single-project reservation by specifying an instance template and without including any optional flags, make the following POST request:

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

{
  "name": "RESERVATION_NAME",
  "specificReservation": {
    "count": "NUMBER_OF_VMS",
    "sourceInstanceTemplate": "projects/PROJECT_ID/LOCATION/instanceTemplates/INSTANCE_TEMPLATE_NAME"
  }
}

Replace the following:

  • PROJECT_ID: the ID of the project where you want to reserve resources and where the instance template exists.

  • ZONE: the zone in which to reserve resources.

  • RESERVATION_NAME: the name of the reservation to create.

  • NUMBER_OF_VMS: the number of VMs to reserve.

  • LOCATION: the location of the instance template. Specify one of the following values:

    • For a global instance template: global.

    • For a regional instance template: regions/REGION. Replace REGION with the region where the instance template is located. If you specify a regional instance template, then you can only reserve VMs within the same region as the template's region.

  • INSTANCE_TEMPLATE_NAME: the name of an existing instance template. If the instance template specifies an A3 machine type or a compact placement policy, then you must include the specificReservationRequired field in the request body, and set the field to true. This indicates that only VMs that specifically target this reservation can consume it. For more information, see Consume VMs from a specific reservation.

For example, to create a reservation for ten VMs in zone us-central1-a by specifying a global instance template, make the following POST request:

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

{
  "name": "my-reservation",
  "specificReservation": {
    "count": "10",
    "sourceInstanceTemplate": "projects/example-project/global/instanceTemplates/example-instance-template"
  }
}

Optionally, you can do one or more of the following:

  • To specify that only VMs that specifically target this reservation can consume it, include the specificReservationRequired field in the request body, and set the field to true.

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

{
  "name": "RESERVATION_NAME",
  "specificReservation": {
    "count": "NUMBER_OF_VMS",
    "sourceInstanceTemplate": "projects/PROJECT_ID/LOCATION/instanceTemplates/INSTANCE_TEMPLATE_NAME"
  },
  "specificReservationRequired": true
}

  • To allow a reservation of GPU VMs to be consumed by custom training jobs or prediction jobs in Vertex AI, make a POST request to the beta.reservations.insert method. In the request body, include the serviceShareType field and set it to ALLOW_ALL.

    POST https://compute.googleapis.com/compute/beta/projects/PROJECT_ID/zones/ZONE/reservations

{
  "name": "RESERVATION_NAME",
  "reservationSharingPolicy": {
    "serviceShareType": "ALLOW_ALL"
  },
  "specificReservation": {
    "count": "NUMBER_OF_VMS",
    "sourceInstanceTemplate": "projects/PROJECT_ID/LOCATION/instanceTemplates/INSTANCE_TEMPLATE_NAME"
  }
}

  • To enable Compute Engine to automatically delete the reservation, select one of the following methods:

    • To delete the reservation at a specific date and time, make a POST request to the beta.reservations.insert method. In the request body, include the deleteAtTime field.

      POST https://compute.googleapis.com/compute/beta/projects/PROJECT_ID/zones/ZONE/reservations

{
  "deleteAtTime": "DELETE_AT_TIME",
  "name": "RESERVATION_NAME",
  "specificReservation": {
    "count": "NUMBER_OF_VMS",
    "sourceInstanceTemplate": "projects/PROJECT_ID/LOCATION/instanceTemplates/INSTANCE_TEMPLATE_NAME"
  }
}

      Replace DELETE_AT_TIME with a date and time formatted as an RFC 3339 timestamp, which must be as follows:

      YYYY-MM-DDTHH:MM:SSOFFSET

      Replace the following:

      • YYYY-MM-DD: a date formatted as a 4-digit year, 2-digit month, and a 2-digit day of the month, separated by hyphens (-).

      • HH:MM:SS: a time formatted as a 2-digit hour using a 24-hour time, 2-digit minutes, and 2-digit seconds, separated by colons (:).

      • OFFSET: the time zone formatted as an offset of Coordinated Universal Time (UTC). For example, to use the Pacific Standard Time (PST), specify -08:00. Alternatively, to use no offset, specify Z.

    • To delete the reservation after a specific duration, make a POST request to the beta.reservations.insert method. In the request body, include the deleteAfterDuration field.

      POST https://compute.googleapis.com/compute/beta/projects/PROJECT_ID/zones/ZONE/reservations

{
  "deleteAfterDuration": {
    "seconds": "DELETE_AFTER_DURATION"
  },
  "name": "RESERVATION_NAME",
  "specificReservation": {
    "count": "NUMBER_OF_VMS",
    "sourceInstanceTemplate": "projects/PROJECT_ID/LOCATION/instanceTemplates/INSTANCE_TEMPLATE_NAME"
  }
}

      Replace DELETE_AFTER_DURATION with a duration in seconds. For example, specify 86400 for 86,400 seconds (1 day).

Specify an existing VM

You can only create a reservation based on an existing VM in the same zone as the VM.

After creating the reservation, you can consume it by creating VMs with properties that match the reference VM. You can do this by doing one of the following:

To create a single-project reservation that uses the properties of an existing VM, do the following:

  1. In the Google Cloud console, go to the Reservations page.

    Go to Reservations

  2. Click Create reservation.

    The Create a reservation page opens.

  3. For Name, enter a name for your reservation.

  4. For Region and Zone, select where you want to reserve resources.

  5. In the Share type section, click Local if it isn't already selected.

  6. In the Use with VM instance section, select one of the following options:

    • To allow matching VMs to automatically consume this reservation, select Use reservation automatically if it isn't already selected.

    • To consume this reservation's resources only when creating matching VMs that specifically target this reservation by name, select Select specific reservation.

  7. For Number of VM instances, enter the number of VMs that you want to reserve.

  8. In the Machine configuration section, do the following:

    1. Select Use existing VM.

    2. For Existing VM, select the VM which properties you want to use to create the reservation.

  9. Optional: To specify a compact placement policy for a reservation that meets the requirements, in the Group placement policy section, click the Select or create a group placement policy list, and then do one of the following:

    • To create a compact placement policy to specify in this reservation, do the following:

      1. Click Create group placement policy.

        The Create a group placement policy pane appears.

      2. For Policy name, enter a name for your policy.

      3. Click Create.

        Creating the compact placement policy might take a few seconds to complete.

    • Otherwise, select an existing compact placement policy.

  10. In the Auto-delete section, you can enable the auto-delete option to let Compute Engine automatically delete the reservation at a specific date and time. Automatically deleting reservations can be useful to avoid unnecessary charges when you stop consuming the reservation.

  11. To create the reservation, click Create.

    The Reservations page opens. Creating the reservation might take up to a minute to complete.

Specify properties directly

To create a single-project reservation by specifying properties directly, select one of the following options:

Console

  1. In the Google Cloud console, go to the Reservations page.

    Go to Reservations

  2. On the On-demand reservations tab (default), click Create reservation.

    The Create a reservation page opens.

  3. For Name, enter a name for your reservation.

  4. For Region and Zone, select where you want to reserve resources.

  5. In the Share type section, click Local if it isn't already selected.

  6. Optional: To allow a reservation of GPU VMs to be consumed by custom training jobs or prediction jobs in Vertex AI, in the Google Cloud services section, select Share reservation.

  7. In the Use with VM instance section, select one of the following options:

    • To allow matching VMs to automatically consume this reservation, select Use reservation automatically if it isn't already selected.

    • To consume this reservation's resources only when creating matching VMs that specifically target this reservation by name, select Select specific reservation.

  8. For Number of VM instances, enter the number of VMs that you want to reserve.

  9. In the Machine configuration section, select Specify machine type, and then specify the following:

    1. For Machine family, Series, and Machine type, select a machine family, series, and machine type.

    2. Optional: To specify a minimum CPU platform or attach GPUs to N1 VMs, do the following:

      1. To expand the CPU Platform and GPU section, click the expander arrow.

      2. Optional: To specify a minimum CPU platform, for CPU Platform, select an option.

      3. Optional: To attach GPUs to N1 VMs, click Add GPU. Then, for GPU type and Number of GPUs, select the type and number of GPUs to attach to each N1 VM.

    3. Optional: To add Local SSD disks, do the following:

      1. For Number of disks, select the number of Local SSD disks for each VM.

      2. For Interface type, select the interface for the Local SSD disks.

    4. Optional: To specify a compact placement policy for a reservation that meets the requirements, click the Select or create a group placement policy list, and then do one of the following:

      • To create a compact placement policy to specify in this reservation, follow these steps:

        1. Click Create group placement policy.

          The Create a group placement policy pane appears.

        2. For Policy name, enter a name for your policy.

        3. Click Create.

          Creating the compact placement policy might take a few seconds to complete.

      • Otherwise, select an existing compact placement policy.

  10. Optional: To specify a compact placement policy for a reservation that meets the requirements, in the Group placement policy section, click the Select or create a group placement policy list, and then do one of the following:

    • To create a compact placement policy to specify in this reservation, do the following:

      1. Click Create group placement policy.

        The Create a group placement policy pane appears.

      2. For Policy name, enter a name for your policy.

      3. Click Create.

        Creating the compact placement policy might take a few seconds to complete.

    • Otherwise, select an existing compact placement policy.

  11. In the Auto-delete section, you can enable the auto-delete option to let Compute Engine automatically delete the reservation at a specific date and time. Automatically deleting reservations can be useful to avoid unnecessary charges when you stop consuming the reservation.

  12. To create the reservation, click Create.

    The Reservations page opens. Creating the single-project reservation might take up to a minute to complete.

gcloud

To create a single-project reservation, use the gcloud compute reservations create command.

To create a single-project reservation by specifying properties directly and without including any optional flags, run the following command:

gcloud compute reservations create RESERVATION_NAME \
    --machine-type=MACHINE_TYPE \
    --vm-count=NUMBER_OF_VMS \
    --zone=ZONE

Replace the following:

  • RESERVATION_NAME: the name of the reservation to create.

  • MACHINE_TYPE: a machine type to use for each VM. If you specify an A3 machine type, then you must include the --require-specific-reservation flag. This indicates that only VMs that specifically target the reservation can consume it. For more information, see Consume VMs from a specific reservation.

  • NUMBER_OF_VMS: the number of VMs to reserve.

  • ZONE: the zone in which to reserve resources.

For example, to create a reservation in zone us-central1-a for ten VMs that each use an N2 predefined machine type with 4 vCPUs, run the following command:

gcloud compute reservations create my-reservation \
    --machine-type=n2-standard-4 \
    --vm-count=10 \
    --zone=us-central1-a

Optionally, you can do one or more of the following:

  • To attach GPUs to your reserved N1 VMs, include the --accelerator flag.

    gcloud compute reservations create RESERVATION_NAME \
    --accelerator=count=NUMBER_OF_ACCELERATORS,type=ACCELERATOR_TYPE
    --machine-type=MACHINE_TYPE \
    --vm-count=NUMBER_OF_VMS \
    --zone=ZONE

    Replace the following:

  • To add one or more Local SSD disks to each reserved VM, include one or more --local-ssd flags. You can specify up to 24 Local SSD disks. Each Local SSD disk is 375 GB.

    For example, to specify two Local SSD disks when creating a reservation, include two --local-ssd flags as follows:

    gcloud compute reservations create RESERVATION_NAME \
    --local-ssd=size=375,interface=INTERFACE_1 \
    --local-ssd=size=375,interface=INTERFACE_2 \
    --machine-type=MACHINE_TYPE \
    --vm-count=NUMBER_OF_VMS \
    --zone=ZONE

    Replace INTERFACE_1 and INTERFACE_2 with the type of interface you want each Local SSD disk to use. Specify one of the following values:

    • NVME disk interfaces: nvme

    • SCSI disk interfaces: scsi

    Make sure that the machine type you specify for the reserved VMs supports the chosen disk interfaces. Otherwise, creating the reservation fails. For more information, see how to choose a disk interface.

  • To have the reserved VMs use a specific minimum CPU platform instead of the zone's default CPU platform, include the --min-cpu-platform flag.

    gcloud compute reservations create RESERVATION_NAME \
    --machine-type=MACHINE_TYPE \
    --min-cpu-platform="MIN_CPU_PLATFORM" \
    --vm-count=NUMBER_OF_VMS \
    --zone=ZONE

    Replace MIN_CPU_PLATFORM with a minimum CPU platform. To make sure that a CPU platform is available in the zone where you're reserving resources, view the available CPU platforms by zone.

  • To specify that only VMs that specifically target this reservation can consume it, include the --require-specific-reservation flag.

    gcloud compute reservations create RESERVATION_NAME \
    --machine-type=MACHINE_TYPE \
    --require-specific-reservation \
    --vm-count=NUMBER_OF_VMS \
    --zone=ZONE

  • To specify a compact placement policy for lower network latency among VMs, include the --resource-policies=policy flag.

    gcloud compute reservations create RESERVATION_NAME \
    --machine-type=MACHINE_TYPE \
    --resource-policies=policy=COMPACT_PLACEMENT_POLICY_NAME \
    --require-specific-reservation \
    --vm-count=NUMBER_OF_VMS \
    --zone=ZONE

    Replace COMPACT_PLACEMENT_POLICY_NAME with the name of an existing compact placement policy. Additionally, to avoid errors when creating a single-project reservation that specifies a compact placement policy, make sure to specify the following:

    • A supported machine type and maximum number of VMs for compact placement policies.

    • A zone within the region where the compact placement policy is located.

    • The --require-specific-reservation flag. This indicates that only VMs that specifically target the reservation can consume it.

  • To allow a reservation of GPU VMs to be consumed by custom training jobs or prediction jobs in Vertex AI, use the gcloud beta compute reservations create command with the --reservation-sharing-policy=ALLOW_ALL flag.

    gcloud beta compute reservations create RESERVATION_NAME \
    --machine-type=MACHINE_TYPE \
    --reservation-sharing-policy=ALLOW_ALL \
    --vm-count=NUMBER_OF_VMS \
    --zone=ZONE

  • To enable Compute Engine to automatically delete the reservation, select one of the following methods:

    • To delete the reservation at a specific date and time, use the gcloud beta compute reservations create command with the --delete-at-time flag.

      gcloud beta compute reservations create RESERVATION_NAME \
    --delete-at-time=DELETE_AT_TIME \
    --machine-type=MACHINE_TYPE \
    --vm-count=NUMBER_OF_VMS \
    --zone=ZONE

      Replace DELETE_AT_TIME with a date and time formatted as an RFC 3339 timestamp, which must be as follows:

      YYYY-MM-DDTHH:MM:SSOFFSET

      Replace the following:

      • YYYY-MM-DD: a date formatted as a 4-digit year, 2-digit month, and a 2-digit day of the month, separated by hyphens (-).

      • HH:MM:SS: a time formatted as a 2-digit hour using a 24-hour time, 2-digit minutes, and 2-digit seconds, separated by colons (:).

      • OFFSET: the time zone formatted as an offset of Coordinated Universal Time (UTC). For example, to use the Pacific Standard Time (PST), specify -08:00. Alternatively, to use no offset, specify Z.

    • To delete the reservation after a specific duration, use the gcloud beta compute reservations create command with the --delete-after-duration flag.

      gcloud beta compute reservations create RESERVATION_NAME \
    --delete-after-duration=DELETE_AFTER_DURATION \
    --machine-type=MACHINE_TYPE \
    --vm-count=NUMBER_OF_VMS \
    --zone=ZONE

      Replace DELETE_AFTER_DURATION with a duration in days, hours, minutes, or seconds. For example, specify 30m for 30 minutes, or 1d2h3m4s for 1 day, 2 hours, 3 minutes, and 4 seconds.

Go 

import (
	"context"
	"fmt"
	"io"

	compute "cloud.google.com/go/compute/apiv1"
	computepb "cloud.google.com/go/compute/apiv1/computepb"
	"google.golang.org/protobuf/proto"
)

// Creates the reservation with accelerated image
func createBaseReservation(w io.Writer, projectID, zone, reservationName string) error {
	// projectID := "your_project_id"
	// zone := "us-west3-a"
	// reservationName := "your_reservation_name"

	ctx := context.Background()
	reservationsClient, err := compute.NewReservationsRESTClient(ctx)
	if err != nil {
		return err
	}
	defer reservationsClient.Close()

	// Creating reservation based on direct properties
	req := &computepb.InsertReservationRequest{
		Project: projectID,
		ReservationResource: &computepb.Reservation{
			Name: proto.String(reservationName),
			Zone: proto.String(zone),
			SpecificReservation: &computepb.AllocationSpecificSKUReservation{
				Count: proto.Int64(2),
				// Properties, which allows customising instances
				InstanceProperties: &computepb.AllocationSpecificSKUAllocationReservedInstanceProperties{
					// Attaching GPUs to the reserved VMs
					// Read more: https://cloud.google.com/compute/docs/gpus#n1-gpus
					GuestAccelerators: []*computepb.AcceleratorConfig{
						{
							AcceleratorCount: proto.Int32(1),
							AcceleratorType:  proto.String("nvidia-tesla-t4"),
						},
					},
					// Including local SSD disks
					LocalSsds: []*computepb.AllocationSpecificSKUAllocationAllocatedInstancePropertiesReservedDisk{
						{
							DiskSizeGb: proto.Int64(375),
							Interface:  proto.String("NVME"),
						},
					},
					MachineType: proto.String("n1-standard-2"),
					// Specifying minimum CPU platform
					// Read more: https://cloud.google.com/compute/docs/instances/specify-min-cpu-platform
					MinCpuPlatform: proto.String("Intel Skylake"),
				},
			},
		},
		Zone: zone,
	}

	op, err := reservationsClient.Insert(ctx, req)
	if err != nil {
		return fmt.Errorf("unable to create reservation: %w", err)
	}

	if err = op.Wait(ctx); err != nil {
		return fmt.Errorf("unable to wait for the operation: %w", err)
	}

	fmt.Fprintf(w, "Reservation created\n")

	return nil
}

Java 

import com.google.cloud.compute.v1.AcceleratorConfig;
import com.google.cloud.compute.v1.AllocationSpecificSKUAllocationAllocatedInstancePropertiesReservedDisk;
import com.google.cloud.compute.v1.AllocationSpecificSKUAllocationReservedInstanceProperties;
import com.google.cloud.compute.v1.AllocationSpecificSKUReservation;
import com.google.cloud.compute.v1.Operation;
import com.google.cloud.compute.v1.Reservation;
import com.google.cloud.compute.v1.ReservationsClient;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;

public class CreateReservation {

  public static void main(String[] args)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    // TODO(developer): Replace these variables before running the sample.
    // Project ID or project number of the Cloud project you want to use.
    String projectId = "YOUR_PROJECT_ID";
    // Name of the zone in which you want to create the disk.
    String zone = "us-central1-a";
    // Name of the reservation you want to create.
    String reservationName = "YOUR_RESERVATION_NAME";
    // Number of instances in the reservation.
    int numberOfVms = 3;

    createReservation(projectId, reservationName, numberOfVms, zone);
  }

  // Creates reservation with optional flags
  public static Reservation createReservation(
      String projectId, String reservationName, int numberOfVms, String zone)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    // Create the reservation with optional properties:
    // Machine type of the instances in the reservation.
    String machineType = "n1-standard-2";
    // Number of accelerators to be attached to the instances in the reservation.
    int numberOfAccelerators = 1;
    // Accelerator type to be attached to the instances in the reservation.
    String acceleratorType = "nvidia-tesla-t4";
    // Minimum CPU platform to be attached to the instances in the reservation.
    String minCpuPlatform = "Intel Skylake";
    // Local SSD size in GB to be attached to the instances in the reservation.
    int localSsdSize = 375;
    // Local SSD interfaces to be attached to the instances in the reservation.
    String localSsdInterface1 = "NVME";
    String localSsdInterface2 = "SCSI";
    boolean specificReservationRequired = true;
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests.
    try (ReservationsClient reservationsClient = ReservationsClient.create()) {
      Reservation reservation =
          Reservation.newBuilder()
              .setName(reservationName)
              .setZone(zone)
              .setSpecificReservationRequired(specificReservationRequired)
              .setSpecificReservation(
                  AllocationSpecificSKUReservation.newBuilder()
                      // Set the number of instances
                      .setCount(numberOfVms)
                      // Set instance properties
                      .setInstanceProperties(
                          AllocationSpecificSKUAllocationReservedInstanceProperties.newBuilder()
                              .setMachineType(machineType)
                              .setMinCpuPlatform(minCpuPlatform)
                              .addGuestAccelerators(
                                  AcceleratorConfig.newBuilder()
                                      .setAcceleratorCount(numberOfAccelerators)
                                      .setAcceleratorType(acceleratorType)
                                      .build())
                              .addLocalSsds(
                            AllocationSpecificSKUAllocationAllocatedInstancePropertiesReservedDisk
                                      .newBuilder()
                                      .setDiskSizeGb(localSsdSize)
                                      .setInterface(localSsdInterface1)
                                      .build())
                              .addLocalSsds(
                            AllocationSpecificSKUAllocationAllocatedInstancePropertiesReservedDisk
                                      .newBuilder()
                                      .setDiskSizeGb(localSsdSize)
                                      .setInterface(localSsdInterface2)
                                      .build())
                              .build())
                      .build())
              .build();

      Operation response =
          reservationsClient.insertAsync(projectId, zone, reservation).get(7, TimeUnit.MINUTES);

      if (response.hasError()) {
        return null;
      }
      return reservationsClient.get(projectId, zone, reservationName);
    }
  }
}

Node.js 

// Import the Compute library
const computeLib = require('@google-cloud/compute');
const compute = computeLib.protos.google.cloud.compute.v1;

// Instantiate a reservationsClient
const reservationsClient = new computeLib.ReservationsClient();
// Instantiate a zoneOperationsClient
const zoneOperationsClient = new computeLib.ZoneOperationsClient();

/**
 * TODO(developer): Update/uncomment these variables before running the sample.
 */
// The ID of the project where you want to reserve resources.
const projectId = await reservationsClient.getProjectId();
// The zone in which to reserve resources.
const zone = 'us-central1-a';
// The name of the reservation to create.
// reservationName = 'reservation-01';
// The number of VMs to reserve.
const vmsNumber = 3;
// Machine type to use for each VM.
const machineType = 'n1-standard-4';

async function callCreateComputeReservationFromProperties() {
  // Create specific reservation for 3 VMs that each use an N1 predefined machine type with 4 vCPUs.
  const specificReservation = new compute.AllocationSpecificSKUReservation({
    count: vmsNumber,
    instanceProperties: {
      machineType,
      // To have the reserved VMs use a specific minimum CPU platform instead of the zone's default CPU platform.
      minCpuPlatform: 'Intel Skylake',
      // If you want to attach GPUs to your reserved N1 VMs, update and uncomment guestAccelerators if needed.
      // guestAccelerators: [
      //   {
      //     // The number of GPUs to add per reserved VM.
      //     acceleratorCount: 1,
      //     // Supported GPU model for N1 VMs. Ensure that your chosen GPU model is available in the zone,
      //     // where you want to reserve resources.
      //     acceleratorType: 'nvidia-tesla-t4',
      //   },
      // ],
      // If you want to add local SSD disks to each reserved VM, update and uncomment localSsds if needed.
      // You can specify up to 24 Local SSD disks. Each Local SSD disk is 375 GB.
      // localSsds: [
      //   {
      //     diskSizeGb: 375,
      //     // The type of interface you want each Local SSD disk to use. Specify one of the following values: NVME or SCSI.
      //     // Make sure that the machine type you specify for the reserved VMs supports the chosen disk interfaces.
      //     interface: 'NVME',
      //   },
      // ],
    },
  });

  // Create a reservation.
  const reservation = new compute.Reservation({
    name: reservationName,
    zone,
    specificReservation,
    // To specify that only VMs that specifically target this reservation can consume it,
    // set specificReservationRequired field to true.
    specificReservationRequired: true,
  });

  const [response] = await reservationsClient.insert({
    project: projectId,
    reservationResource: reservation,
    zone,
  });

  let operation = response.latestResponse;

  // Wait for the create reservation operation to complete.
  while (operation.status !== 'DONE') {
    [operation] = await zoneOperationsClient.wait({
      operation: operation.name,
      project: projectId,
      zone: operation.zone.split('/').pop(),
    });
  }

  console.log(`Reservation: ${reservationName} created.`);
}

await callCreateComputeReservationFromProperties();

Python 

from __future__ import annotations

import sys
from typing import Any

from google.api_core.extended_operation import ExtendedOperation
from google.cloud import compute_v1


def wait_for_extended_operation(
    operation: ExtendedOperation, verbose_name: str = "operation", timeout: int = 300
) -> Any:
    """
    Waits for the extended (long-running) operation to complete.

    If the operation is successful, it will return its result.
    If the operation ends with an error, an exception will be raised.
    If there were any warnings during the execution of the operation
    they will be printed to sys.stderr.

    Args:
        operation: a long-running operation you want to wait on.
        verbose_name: (optional) a more verbose name of the operation,
            used only during error and warning reporting.
        timeout: how long (in seconds) to wait for operation to finish.
            If None, wait indefinitely.

    Returns:
        Whatever the operation.result() returns.

    Raises:
        This method will raise the exception received from `operation.exception()`
        or RuntimeError if there is no exception set, but there is an `error_code`
        set for the `operation`.

        In case of an operation taking longer than `timeout` seconds to complete,
        a `concurrent.futures.TimeoutError` will be raised.
    """
    result = operation.result(timeout=timeout)

    if operation.error_code:
        print(
            f"Error during {verbose_name}: [Code: {operation.error_code}]: {operation.error_message}",
            file=sys.stderr,
            flush=True,
        )
        print(f"Operation ID: {operation.name}", file=sys.stderr, flush=True)
        raise operation.exception() or RuntimeError(operation.error_message)

    if operation.warnings:
        print(f"Warnings during {verbose_name}:\n", file=sys.stderr, flush=True)
        for warning in operation.warnings:
            print(f" - {warning.code}: {warning.message}", file=sys.stderr, flush=True)

    return result


def create_compute_reservation(
    project_id: str,
    zone: str = "us-central1-a",
    reservation_name="your-reservation-name",
) -> compute_v1.Reservation:
    """Creates a compute reservation in GCP.
    Args:
        project_id (str): The ID of the Google Cloud project.
        zone (str): The zone to create the reservation.
        reservation_name (str): The name of the reservation to create.
    Returns:
        Reservation object that represents the new reservation.
    """

    instance_properties = compute_v1.AllocationSpecificSKUAllocationReservedInstanceProperties(
        machine_type="n1-standard-1",
        # Optional. Specifies the minimum CPU platform for the VM instance.
        min_cpu_platform="Intel Ivy Bridge",
        # Optional. Specifies amount of local ssd to reserve with each instance.
        local_ssds=[
            compute_v1.AllocationSpecificSKUAllocationAllocatedInstancePropertiesReservedDisk(
                disk_size_gb=375, interface="NVME"
            ),
            compute_v1.AllocationSpecificSKUAllocationAllocatedInstancePropertiesReservedDisk(
                disk_size_gb=375, interface="SCSI"
            ),
        ],
        # Optional. Specifies the GPUs allocated to each instance.
        # guest_accelerators=[
        #     compute_v1.AcceleratorConfig(
        #         accelerator_count=1, accelerator_type="nvidia-tesla-t4"
        #     )
        # ],
    )

    reservation = compute_v1.Reservation(
        name=reservation_name,
        specific_reservation=compute_v1.AllocationSpecificSKUReservation(
            count=3,  # Number of resources that are allocated.
            # If you use source_instance_template, you must exclude the instance_properties field.
            # It can be a full or partial URL.
            # source_instance_template="projects/[PROJECT_ID]/global/instanceTemplates/my-instance-template",
            instance_properties=instance_properties,
        ),
    )

    # Create a client
    client = compute_v1.ReservationsClient()

    operation = client.insert(
        project=project_id,
        zone=zone,
        reservation_resource=reservation,
    )
    wait_for_extended_operation(operation, "Reservation creation")

    reservation = client.get(
        project=project_id, zone=zone, reservation=reservation_name
    )

    print("Name: ", reservation.name)
    print("STATUS: ", reservation.status)
    print(reservation.specific_reservation)
    # Example response:
    # Name:  your-reservation-name
    # STATUS:  READY
    # count: 3
    # instance_properties {
    #   machine_type: "n1-standard-1"
    #   local_ssds {
    #     disk_size_gb: 375
    #     interface: "NVME"
    #   }
    # ...

    return reservation

Terraform

To create a single-project reservation, use the google_compute_reservation Terraform resource.

For example, to create a single-project reservation for one N2 predefined machine type with 2 vCPUs, use the following resource:


resource "google_compute_reservation" "default" {
  name = "gce-reservation-local"
  zone = "us-central1-a"

  /**
   * To specify a single-project reservation, omit the share_settings block
   * (default) or set the share_type field to LOCAL.
   */
  share_settings {
    share_type = "LOCAL"
  }

  specific_reservation {
    count = 1
    instance_properties {
      machine_type = "n2-standard-2"
    }
  }

  /**
   * To let VMs with affinity for any reservation consume this reservation, omit
   * the specific_reservation_required field (default) or set it to false.
   */
  specific_reservation_required = false
}

For more information about how to use Terraform, see Using Terraform with Google Cloud.

REST

To create a single-project reservation, make a POST request to the reservations.insert method.

To create a single-project reservation by specifying properties directly and without any including any optional fields, make the following POST request:

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

{
  "name": "RESERVATION_NAME",
  "specificReservation": {
    "count": "NUMBER_OF_VMS",
    "instanceProperties": {
      "machineType": "MACHINE_TYPE"
    }
  }
}

Replace the following:

  • PROJECT_ID: the ID of the project where you want to reserve resources.

  • ZONE: the zone in which to reserve resources.

  • RESERVATION_NAME: the name of the reservation to create.

  • NUMBER_OF_VMS: the number of VMs to reserve.

  • MACHINE_TYPE: a machine type to use for each VM. If you specify an A3 machine type, then you must include the specificReservationRequired field in the request body, and set the field to true. This indicates that only VMs that specifically target the reservation can consume it. For more information, see Consume VMs from a specific reservation.

For example, to create a reservation in zone us-central1-a for ten VMs that each use an N2 predefined machine type with 4 vCPUs, make the following POST request:

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

{
  "name": "my-reservation",
  "specificReservation": {
    "count": "10",
    "instanceProperties": {
      "machineType": "n2-standard-4",
    }
  }
}

Optionally, you can do one or more of the following:

  • To attach GPUs to your reserved N1 VMs, include the guestAccelerators field in the request body.

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

{
  "name": "RESERVATION_NAME",
  "specificReservation": {
    "count": "NUMBER_OF_VMS",
    "instanceProperties": {
      "guestAccelerators": [
        {
          "acceleratorCount": NUMBER_OF_ACCELERATORS,
          "acceleratorType": "ACCELERATOR_TYPE"
        }
      ],
      "machineType": "MACHINE_TYPE"
    }
  }
}

    Replace the following:

  • To add one or more Local SSD disks to each reserved VM, include the localSsds field in the request body. You can specify up to 24 Local SSD disks. Each Local SSD disk is 375 GB.

    For example, to specify two Local SSD disks when creating a reservation, make a request as follows:

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

{
  "name": "RESERVATION_NAME",
  "specificReservation": {
    "count": "NUMBER_OF_VMS",
    "instanceProperties": {
      "localSsds": [
        {
          "diskSizeGb": "375",
          "interface": "INTERFACE_1"
        },
        {
          "diskSizeGb": "375",
          "interface": "INTERFACE_2"
        }
      ],
      "machineType": "MACHINE_TYPE"
    }
  }
}

    Replace INTERFACE_1 and INTERFACE_2 with the type of interface you want each Local SSD disk to use. Specify one of the following values:

    • NVME disk interfaces: NVME

    • SCSI disk interfaces: SCSI

    Make sure that the machine type you specify for the reserved VMs supports the chosen disk interfaces. Otherwise, creating the reservation fails. For more information, see how to choose a disk interface.

  • To have the reserved VMs use a specific minimum CPU platform instead of the zone's default CPU platform, include the minCpuPlatform field in the request body.

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

{
  "name": "RESERVATION_NAME",
  "specificReservation": {
    "count": "NUMBER_OF_VMS",
    "instanceProperties": {
      "machineType": "MACHINE_TYPE",
      "minCpuPlatform": "MIN_CPU_PLATFORM"
    }
  }
}

    Replace MIN_CPU_PLATFORM with a minimum CPU platform. To make sure that a CPU platform is available in the zone where you're reserving resources, view the available CPU platforms by zone.

  • To specify a compact placement policy to reduce network latency among your reserved VMs, include the resourcePolicies field in the request body.

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

{
  "name": "RESERVATION_NAME",
  "resourcePolicies": {
    "policy" : "projects/example-project/regions/REGION/resourcePolicies/COMPACT_PLACEMENT_POLICY_NAME"
  },
  "specificReservation": {
    "count": "NUMBER_OF_VMS",
    "instanceProperties": {
      "machineType": "MACHINE_TYPE"
    }
  },
  "specificReservationRequired": true
}

    Replace the following:

    • REGION: the region where the compact placement policy is located. You can only create the reservation within the region of the placement policy.

    • COMPACT_PLACEMENT_POLICY_NAME: the name of an existing compact placement policy.

    Additionally, to avoid errors when creating a single-project reservation that specifies a compact placement policy, make sure to specify the following:

    • A supported machine type for compact placement policies.

    • The specificReservationRequired field set to true. This indicates that only VMs that specifically target this reservation can consume it.

  • To specify that only VMs that specifically target this reservation can consume it, include the specificReservationRequired field in the request body and set the field to true.

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

{
  "name": "RESERVATION_NAME",
  "specificReservation": {
    "count": "NUMBER_OF_VMS",
    "instanceProperties": {
      "machineType": "MACHINE_TYPE"
    }
  },
  "specificReservationRequired": true
}

  • To allow a reservation of GPU VMs to be consumed by custom training jobs or prediction jobs in Vertex AI, make a POST request to the beta.reservations.insert method. In the request body, include the serviceShareType field and set it to ALLOW_ALL.

    POST https://compute.googleapis.com/compute/beta/projects/PROJECT_ID/zones/ZONE/reservations

{
  "name": "RESERVATION_NAME",
  "reservationSharingPolicy": {
    "serviceShareType": "ALLOW_ALL"
  },
  "specificReservation": {
    "count": "NUMBER_OF_VMS",
    "instanceProperties": {
      "machineType": "MACHINE_TYPE"
    }
  }
}

  • To enable Compute Engine to automatically delete the reservation, select one of the following methods:

    • To delete the reservation at a specific date and time, make a POST request to the beta.reservations.insert method. In the request body, include the deleteAtTime field.

      POST https://compute.googleapis.com/compute/beta/projects/PROJECT_ID/zones/ZONE/reservations

{
  "deleteAtTime": "DELETE_AT_TIME",
  "name": "RESERVATION_NAME",
  "specificReservation": {
    "count": "NUMBER_OF_VMS",
    "instanceProperties": {
      "machineType": "MACHINE_TYPE"
    }
  }
}

      Replace DELETE_AT_TIME with a date and time formatted as an RFC 3339 timestamp, which must be as follows:

      YYYY-MM-DDTHH:MM:SSOFFSET

      Replace the following:

      • YYYY-MM-DD: a date formatted as a 4-digit year, 2-digit month, and a 2-digit day of the month, separated by hyphens (-).

      • HH:MM:SS: a time formatted as a 2-digit hour using a 24-hour time, 2-digit minutes, and 2-digit seconds, separated by colons (:).

      • OFFSET: the time zone formatted as an offset of Coordinated Universal Time (UTC). For example, to use the Pacific Standard Time (PST), specify -08:00. Alternatively, to use no offset, specify Z.

    • To delete the reservation after a specific duration, make a POST request to the beta.reservations.insert method. In the request body, include the deleteAfterDuration field.

      POST https://compute.googleapis.com/compute/beta/projects/PROJECT_ID/zones/ZONE/reservations

{
  "deleteAfterDuration": {
    "seconds": "DELETE_AFTER_DURATION"
  },
  "name": "RESERVATION_NAME",
  "specificReservation": {
    "count": "NUMBER_OF_VMS",
    "instanceProperties": {
      "machineType": "MACHINE_TYPE"
    }
  }
}

      Replace DELETE_AFTER_DURATION with a duration in seconds. For example, specify 86400 for 86,400 seconds (1 day).

Troubleshooting

Learn how to troubleshoot reservation creation.

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