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Text of the page (random words):
rformance optimize persistent disk performance optimize local ssd performance workload performance set the number of threads per core customize the number of visible cpu cores analyze the cpu performance using the pmu pmu overview enable the pmu in vms manage the pmu in vms network performance network bandwidth use google virtual nic use irdma network driver use idpf network interface configure a vm with higher bandwidth reduce latency by using compact placement policies optimize tcp network communication optimize tcp network performance optimize tcp network resiliency benchmark higher bandwidth vms optimize app latency with load balancing use dpdk to improve network performance network performance and gpu vms networking and gpu machines use higher network bandwidth patterns for using multiple host nics troubleshoot general tips troubleshoot connectivity troubleshoot rdp troubleshoot ssh troubleshoot os login troubleshoot vms troubleshoot vm operations troubleshoot vm creation troubleshoot resource availability errors troubleshoot bulk api vm creation troubleshoot vm reboots and shutdowns troubleshoot vm suspension troubleshoot vm updates troubleshoot unresponsive vms troubleshoot vm startup troubleshoot fstab errors troubleshoot kernel panic collecting core dumps rescue an inaccessible vm troubleshoot cpu bus locks troubleshoot cpu soft lockups troubleshoot vm configurations troubleshoot arm vms troubleshoot gpu vms troubleshoot nvidia gpu errors generate a nvidia bug report for blackwell gpus troubleshoot nested virtualization troubleshoot using vm screenshots troubleshoot sole tenant nodes troubleshoot vm performance issues troubleshoot sudoers files troubleshoot windows vms troubleshoot windows vms collecting diagnostic information troubleshoot using the serial console troubleshoot using the serial console viewing serial port output troubleshoot instance groups troubleshoot managed instance groups migs troubleshoot os management troubleshoot licenses troubleshoot image import and export troubleshooting sles pay as you go registration troubleshooting ubuntu pro registration troubleshoot metadata server troubleshoot metadata server troubleshoot networking issues troubleshoot common networking issues troubleshoot network drivers troubleshoot vm performance issues troubleshoot storage troubleshoot disk creation troubleshoot full disks and disk resizing troubleshoot disk encryption troubleshoot nvme disks troubleshoot instant snapshots troubleshoot standard snapshots troubleshoot reservations and commitments troubleshoot reservation creation troubleshoot reservation consumption troubleshooting reservation monitoring troubleshoot reservation updates troubleshoot future reservation creation and updates troubleshoot automatic commitment renewal troubleshoot quota errors troubleshoot concurrent operation quota errors troubleshoot workload authentication troubleshoot default service accounts troubleshoot workload to workload authentication ai and ml application development application hosting compute data analytics and pipelines databases distributed hybrid and multicloud industry solutions migration networking observability and monitoring security storage access and resources management costs and usage management infrastructure as code sdk languages frameworks and tools home documentation compute compute engine guides send feedback about reservations stay organized with collections save and categorize content based on your preferences this document gives you an overview of reservations to learn more about the different types of reservations see choose a reservation type when you create a reservation compute engine verifies that the requested capacity is available in the specified zone if so then compute engine reserves resources creates the reservation and the following is enabled you can consume the reserved resources to create virtual machine vm instances and the reserved resources remain available until you delete the reservation you re charged for the reserved resources at the same on demand rate as running vms including any applicable discounts as long as the reservation exists reservations are useful for growth migrations or disaster recovery how reservations work a reservation provides a high level of assurance of capacity for one or more vms with the configuration the user specifies you might also use a reservation with compute engine commitments or other products that use vms when you create a reservation you define the following properties auto delete the auto delete option specifies to automatically delete the reservation regardless if it s fully consumed or not if you enable the auto delete option the reservation is deleted within two hours from your specified date and time by default or at custom date and time automatically deleting reservations can be useful to avoid unnecessary charges for the reservations that aren t consumed for some time consumption type automatic or specific an automatically consumed reservation default can be consumed by vms with a reservation affinity property that allows them to automatically consume any of these reservations this consumption type is useful if you create and delete lots of vms and you want to consume your reservations whenever possible note if a project has vms that can automatically consume multiple reservations all single project reservations are consumed before any shared reservations otherwise the reservation that a vm automatically consumes is random this order helps improve the utilization and availability of your reservations by ensuring that your projects consume their designated single project reservations before consuming any widely available shared reservations a specifically targeted reservation can only be consumed by vms with a reservation affinity property that targets that specific reservation this consumption type makes it easier to track and control which vms consume which reservations share type single project or shared a single project reservation default can only be consumed by vms that are located in the same project as the reservation a shared reservation can be consumed by vms in the project where the reservation is located and any other project that the reservation is shared with using shared reservations can help improve the utilization of your reservations and reduce the number of reservations that you need to create and manage for more information see how shared reservations work in this document sharing policy the sharing policy specifies if a reservation of gpu vms can be consumed by custom training jobs or prediction jobs in vertex ai by default custom training jobs or prediction jobs aren t allowed to consume reservations of gpu vms to change this see how to create or update reservations to be consumed in vertex ai vm count the vm count is the number of vms with matching properties and zone that you want to reserve when creating a reservation after you create the reservation you can modify the vm count vm properties the vm properties describe the hardware requirements memory and cpus and optional resources local ssd disks and gpus for the vms that you want to reserve when creating a reservation you can specify these properties directly specify the properties based on an existing vm or specify the properties by using an instance template a vm can consume a reservation only if both the vm s properties and reservation s vm properties exactly match for more information see requirements in this document optional resource placement policy compact a compact placement policy indicates that the reserved vms should be located as close to each other as possible to reduce network latency between them when you stop suspend or delete a vm that consumes a reservation the vm no longer counts toward the reservation the reserved capacity becomes available again if you want to delete a reservation to release the reserved capacity but keep any vms that consume the reservation then consider the following you can delete an automatically consumed reservation without stopping or suspending vms after you delete the reservation any vms that were consuming it keep running you keep incurring charges for them you can only delete a specifically targeted reservation if no vms consume it if you stop or suspend vms then after you delete the reservation you can only restart or resume the vms if you create a new specifically targeted reservation with a name zone and properties that match the deleted reservation how shared reservations work each vm in a shared reservation can be consumed by a vm in either the project that created the reservation owner project or any of the projects the reservation is shared with consumer projects when a vm stops consuming a shared reservation the shared reservation can be consumed by a different vm in any of the projects that the reservation is shared with if a shared reservation reserves multiple vms vms from multiple projects can consume the same shared reservation simultaneously by default projects can t create and modify shared reservations to create and modify a shared reservation in a project the project must be added to the allowlist of the shared reservations owner projects compute sharedreservationsownerprojects organizational policy constraint if you share a reservation then it is affected by additional quota requirements and has different consumption behavior than single project reservations caution if you migrate a project that created or consumed shared reservations to a different organization its shared reservations experience the following effects any shared reservations created in the migrated project any shared reservations where the migrated project is specified as the owner project are deleted running vms are not affected the project is not automatically removed from the shared reservations owner projects compute sharedreservationsownerprojects organizational policy constraint but you can optionally remove it the migrated project stops consuming resources from any reservations in the previous organization that were shared with it any shared reservations where the migrated project is specified as a consumer project the shared reservation attempts to hold on to the capacity for these resources if the reservation cannot hold on to the capacity immediately due to capacity constraints compute engine continues to attempt to replenish this capacity until all of the capacity is replenished you are only billed for the reserved capacity requirements all reservations have the following requirements a vm can consume a reservation only if all of the following properties for both the vm and the reservation exactly match project project requirements vary based on the reservation s share type zone machine type minimum cpu platform gpu type and count if any local ssd disk type and count if any reservation affinity reservation affinity requirements vary based on the reservation s consumption type compact placement policy if any a reservation can optionally include a compact placement policy to indicate that its reserved vms should be located as close to each other as possible to reduce network latency among them if a reservation specifies a compact placement policy then it can only be consumed by vms that specify the same compact placement policy location hint if any a reservation can optionally include the locationhint field which you can only specify when creating reservations or vms using rest google doesn t recommend specifying the locationhint field when creating reservations you must have unused quota available in your project for the resources that you re reserving if the reservation is created successfully then quota for those resources is consumed immediately additional requirements for reservations attached to commitments additionally reservations that are attached to commitments have the following requirements the reservations must be for the same project and region as the commitment the reservations must be for the same machine family series as the commitment however you can choose any machine type within that machine family series the reservations must have the auto delete option disabled if the commitment specifies any gpus local ssd disks or both then the attached reservation or combination of attached reservations must specify exactly the same numbers and types of those resources as the commitment note this requirement doesn t apply to local titanium ssd disks for use with c4 c4a c4d h4d or z3 machine types you can purchase commitments for these disks without attaching reservations to learn more see attach reservations to resource based commitments additional requirements for reservations created from an instance template additionally if you create a reservation by specifying an instance template make sure of the following you must create your reservation in the same region zone and project as the resources within the template specifically any regional or zonal resources that are specified in an instance template such as a machine type or a disk restrict the use of the template to the locations where those resources exist for example if your instance template specifies an existing disk in the us central1 a zone then you must create your reservation in the same zone an instance template contains project specific settings so you can only access and use an instance template within the same project for the projects a shared reservation is shared with you must create similar templates in those projects or create vms by specifying properties directly if the instance template specifies a compact placement policy you must create a specific reservation then when you create the vms to consume the reservation you must specifically target the reservation by name otherwise the vms can t consume the reservation additional quota requirements for shared reservations additionally there are the following quota implications for the owner and consumer projects of a shared reservation owner project the owner project consumes quota as follows when creating the shared reservation the owner project consumes quota for the total reserved resources when consuming reserved resources the owner project consumes quota for the resources that it consumes consumer projects the consumer projects consume quota only when consuming the reserved resources and only for the resources that they consume for example assume that project a the owner project creates a shared reservation for 10 resources and shares the reservation with project b and c the consumer projects upon creating the shared reservation project a consumes quota for 10 resources then if project a and b consume 2 reserved resources each project a and b each consume quota for 2 resources in total project a consumes quota for 12 resources project b consumes quota for 2 resources and project c consumes quota for 0 resources as it didn t consume the reservation additional requirements for reserv...
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