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description= Create reservations of Compute Engine VM instances for a single project.;
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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 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 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 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_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 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 project_id 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 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 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 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 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 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 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 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