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description= Create reservations of Compute Engine VM instances that are shared by multiple projects.;
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s must be in the same organization as the owner project don t include the owner project by default it is already allowed to consume the 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 and share the reservation with projects project 1 and project 2 run the following command gcloud compute reservations create my reservation machine type n2 standard 4 share setting projects share with project 1 project 2 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 share setting projects share with consumer_project_ids vm count number_of_vms zone zone replace the following number_of_accelerators the number of gpus to add per reserved vm accelerator_type a supported gpu model for n1 vms ensure that your chosen gpu model is available in the zone where you want to reserve resources otherwise creating the reservation fails to attach local ssd disks to a machine type that doesn t include local ssd disks by default include the local ssd flag you can only attach local ssd disks of 375 gb gcloud compute reservations create reservation_name local ssd count number_of_local_ssd_disks size 375 interface interface_type machine type machine_type vm count number_of_vms zone zone replace the following number_of_local_ssd_disks the number of local ssd disks to attach interface_type the type of disk interface that you want each local ssd disk to use and that your specified machine type supports specify one of the following values for the nvme disk interface nvme for the scsi disk interface scsi 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 share setting projects share with consumer_project_ids 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 share setting projects share with consumer_project_ids vm count number_of_vms zone zone to let custom training jobs or prediction jobs in vertex ai consume a reservation of gpu vms include the reservation sharing policy flag set to allow_all gcloud compute reservations create reservation_name machine type machine_type reservation sharing policy allow_all share setting projects share with consumer_project_ids vm count number_of_vms zone zone to enable compute engine to automatically delete the reservation select one of the following methods preview the delete at time and delete after duration flags this feature is subject to the pre ga offerings terms in the general service terms section of the service specific terms pre ga features are available as is and might have limited support for more information see the launch stage descriptions 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 share setting projects share with consumer_project_ids 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 dd t hh mm ss offset 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 share setting projects share with consumer_project_ids 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 terraform to create a reservation use the google_compute_reservation terraform resource to share a reservation with other projects define the share_settings block set the share_type field to specific_projects in the project_map block specify the project ids of the projects that you want to share this reservation with for more information about how to use terraform see using terraform with google cloud rest to create a shared reservation make a post request to the reservations insert method in the request body include the following the projectmap field the sharetype field set to specific_projects for example to create a shared reservation without including any optional fields and share the reservation with two consumer projects make the following post request post https compute googleapis com compute v1 projects project_id zones zone reservations name reservation_name sharesettings sharetype specific_projects projectmap consumer_project_id_1 projectid consumer_project_id_1 consumer_project_id_2 projectid consumer_project_id_2 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 consumer_project_id_1 and consumer_project_id_2 the ids of projects that can consume this reservation you can include up to 100 consumer projects these projects must be in the same organization as the owner project don t include the owner project by default it is already allowed to consume the reservation number_of_vms the number of vms to reserve machine_type a machine type to use for each vm for example to create a reservation by specifying a global instance template in zone us central1 a share the reservation with projects project 1 and project 2 and reserve 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 sharesettings sharetype specific_projects projectmap project 1 projectid project 1 project 2 projectid project 2 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 for example to create a reservation shared with two consumer projects and attach gpus to any reserved n1 vms make a request as follows post https compute googleapis com compute v1 projects project_id zones zone reservations name reservation_name sharesettings sharetype specific_projects projectmap consumer_project_id_1 projectid consumer_project_id_1 consumer_project_id_2 projectid consumer_project_id_2 specificreservation count number_of_vms instanceproperties guestaccelerators acceleratorcount number_of_accelerators acceleratortype accelerator_type machinetype machine_type replace the following number_of_accelerators the number of gpus to add per reserved vm accelerator_type a supported gpu model for n1 vms ensure that your chosen gpu model is available in the zone where you want to reserve resources otherwise creating the reservation fails to attach local ssd disks to a machine type that doesn t include local ssd disks by default include the localssds field in the request body you can only attach local ssd disks of 375 gb for example to attach two local ssd disks to the machine type that you want to reserve while specifying two consumer projects make a request as follows post https compute googleapis com compute v1 projects project_id zones zone reservations name reservation_name sharesettings sharetype specific_projects projectmap consumer_project_id_1 projectid consumer_project_id_1 consumer_project_id_2 projectid consumer_project_id_2 specificreservation count number_of_vms instanceproperties localssds disksizegb 375 interface interface_type disksizegb 375 interface interface_type machinetype machine_type replace interface_type with the type of disk interface that you want each local ssd disk to use and that your specified machine type supports specify one of the following values for the nvme disk interface nvme for the scsi disk interface scsi 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 for example to create a shared reservation while specifying a minimum cpu platform and two consumer projects make a request as follows post https compute googleapis com compute v1 projects project_id zones zone reservations name reservation_name sharesettings sharetype specific_projects projectmap consumer_project_id_1 projectid consumer_project_id_1 consumer_project_id_2 projectid consumer_project_id_2 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 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 for example to create a specific reservation and share it with two consumer projects make a request as follows post https compute googleapis com compute v1 projects project_id zones zone reservations name reservation_name sharesettings sharetype specific_projects projectmap consumer_project_id_1 projectid consumer_project_id_1 consumer_project_id_2 projectid consumer_project_id_2 specificreservation count number_of_vms instanceproperties machinetype machine_type specificreservationrequired true to let custom training jobs or prediction jobs in vertex ai consume a reservation of gpu vms include the servicesharetype field and set it to allow_all post https compute googleapis com compute v1 projects project_id zones zone reservations name reservation_name reservationsharingpolicy servicesharetype allow_all sharesettings sharetype specific_projects projectmap consumer_project_id_1 projectid consumer_project_id_1 consumer_project_id_2 projectid consumer_project_id_2 specificreservation count number_of_vms instanceproperties machinetype machine_type to enable compute engine to automatically delete the reservation select one of the following methods preview the deleteattime and deleteafterduration fields this feature is subject to the pre ga offerings terms in the general service terms section of the service specific terms pre ga features are available as is and might have limited support for more information see the launch stage descriptions 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 for example to create a reservation while specifying a date and time to delete a reservation and share the reservation with two consumer projects make a request as follows post https compute googleapis com compute beta projects project_id zones zone reservations deleteattime delete_at_time name reservation_name sharesettings sharetype specific_projects projectmap consumer_project_id_1 projectid consumer_project_id_1 consumer_project_id_2 projectid consumer_project_id_2 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 dd t hh mm ss offset 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 for example to create a reservation that compute engine deletes after a specific duration and share the reservation with two consumer projects make a request as follows post https compute googleapis com compute beta projects project_id zones zone reservations deleteafterduration seconds delete_after_duration name reservation_name sharesettings sharetype specific_projects projectmap consumer_project_id_1 projectid consumer_project_id_1 consumer_project_id_2 projectid consumer_project_id_2 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 what s next learn how to view your reservations learn how to attach reservations to commitments learn how to consume reservations learn how to monitor reservations consumption send feedback except as otherwise noted the content of this page is licensed under the creative commons attribution 4 0 license and code samples are licensed under the apache 2 0 license for details see the google developers site policies java is a registered trademark of oracle and or its affiliates last updated 2026 07 14 utc need to tell us more easy to understand easytounderstand thumb up solved my problem solvedmyproblem thumb up other otherup thumb up hard to understand hardtounderstand thumb down incorrect information or sample code incorrectinformationorsamplecode thumb down missing the information samples i need missingtheinformationsamplesineed thumb down other otherdown thumb down last updated 2026 07 14 utc products and pricing see all 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