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description= Create HPC instances with Cloud RDMA in bulk to use reserved blocks of resources in dense deployments.;
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rview plan for openshift on google cloud overview of cluster services for openshift automatic configuration validation for openshift clusters built in integrations for openshift best practices for high availability with openshift disaster recovery for openshift on google cloud disaster recovery strategies for active passive and active inactive setups with openshift microsoft windows windows workloads best practices for windows server vms setting up active directory best practices for running active directory on google cloud deploy microsoft sharepoint server on compute engine deploying microsoft exchange server 2016 on compute engine windows server perform an in place upgrade of windows server run windows server failover clustering ibm spectrum symphony integrate ibm spectrum symphony with google cloud install the compute engine symphony provider install the google kubernetes symphony provider troubleshoot ibm spectrum symphony others load testing distributed load testing using kubernetes ssh port forwarding and load testing analytics monte carlo methods using apache spark machine learning run tensorflow inference workloads with tensorrt5 and nvidia t4 gpu monitor monitor logs view audit logs view usage reports view compute engine operations migrate from activity logs to audit logs view activity logs monitor resources monitor vm and sole tenant node usage observe and monitor vms monitor gpu performance monitor gpu performance on linux vms monitor gpu performance on windows vms monitor disks monitor disk health monitor the replica states of regional disks monitor disks list of metrics for pools monitor pools monitor reservations organize resources using labels scale autoscale groups of vms about autoscaling groups of vms create and manage autoscalers scale based on cpu utilization scale based on predictions scale based on load balancing serving capacity scale based on monitoring metrics scale based on schedules use an autoscaling policy with multiple signals manage autoscalers understand autoscaler decisions view autoscaler logs autoscale node groups reserve vm capacity choose a reservation type sharing reservations best practices for shared reservations allow a project to share reservations on demand reservations about on demand reservations create an on demand reservation for a single project for multiple projects combine an on demand reservation with a cud modify an on demand reservation delete an on demand reservation future reservations about future reservations create a reservation request for a single project for multiple projects modify a reservation request delete a reservation request future reservations in calendar mode about future reservations in calendar mode create a reservation request in calendar mode delete a reservation request in calendar mode view reservations or reservation requests consume a reservation prevent vms from consuming reservations load balancing about load balancing and scaling add an instance group to a load balancer request routing to a multi region external https load balancer cross region load balancing for microsoft iis backends set up internal tcp udp load balancing build reliable and scalable applications use autohealing for highly available applications use load balancing for highly available applications use autoscaling for highly scalable applications globally autoscale a web service on compute engine patterns for scalable and resilient applications patterns for using floating ip addresses on compute engine optimize resource utilization use recommendations to manage resources apply machine type recommendations to vms configure machine type recommendations apply machine type recommendations to migs view and apply idle resources recommendations view and understand vm insights view and understand mig insights manage idle vm recommendations idle vm recommendations overview view and apply idle vm recommendations configure idle vm recommendations manage reservation recommendations reservation recommendations overview view and apply idle reservation recommendations view and apply underutilized reservation recommendations configure idle reservation recommendations configure underutilized reservation recommendations overcommit cpus on sole tenant vms manual live migration about manual live migration manually live migrate vms share sole tenant node groups next generation dynamic resource management cost savings get discounts for committed usage about commitments and committed use discounts cuds resource based cuds purchase resource based commitments without attached reservations with attached reservations for os licenses manage resource based commitments renew commitments automatically extend commitment terms merge and split commitments upgrade commitments share resource based cuds across projects get discounts for sustained usage disk performance optimize hyperdisk performance 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 bulk create hpc optimized instances with h4d stay organized with collections save and categorize content based on your preferences this document explains how to create a large number of high performance computing hpc virtual machine vm instances in bulk that are identical and independent from each other the instances use h4d machine types and run on reserved blocks of capacity for more information about creating vms in bulk see about bulk creation of vms to create instances in bulk that don t use reservations for enhanced cluster management capabilities see instead create vms in bulk to learn about other ways to create large clusters of tightly coupled h4d vms see the overview of hpc cluster creation page before you begin choose a consumption option to create compute instances in bulk and enable enhanced cluster management capabilities you can choose a future reservation in calendar mode or spot vms if you choose to use spot vms the vms might not be compactly collocated also spot vms can be preempted as needed and they are not eligible for managing host maintenance events for groups of vms obtain capacity the process to obtain capacity differs for each consumption option to learn more see choose a consumption option and obtain capacity if you haven t already set up authentication authentication verifies your identity 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 install the google cloud cli after installation initialize the google cloud cli by running the following command gcloud init if you re using an external identity provider idp you must first sign in to the gcloud cli with your federated identity note if you installed the gcloud cli previously make sure you have the latest version by running gcloud components update set a default region and zone 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 if you re using an external identity provider idp you must first sign in to the gcloud cli with your federated identity 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 vms in bulk ask your administrator to grant you the following iam roles on the project compute instance admin v1 roles compute instanceadmin v1 compute network admin roles compute networkadmin for more information about granting roles see manage access to projects folders and organizations these predefined roles contain the permissions required to create vms in bulk to see the exact permissions that are required expand the required permissions section required permissions the following permissions are required to create vms in bulk compute instances create on the project to use a custom image to create the vm compute images usereadonly on the image to use a snapshot to create the vm compute snapshots usereadonly on the snapshot to use an instance template to create the vm compute instancetemplates usereadonly on the instance template to specify a subnet for your vm compute subnetworks use on the project or on the chosen subnet to specify a static ip address for the vm compute addresses use on the project to assign an external ip address to the vm when using a vpc network compute subnetworks useexternalip on the project or on the chosen subnet to assign a legacy network to the vm compute networks use on the project to assign an external ip address to the vm when using a legacy network compute networks useexternalip on the project to set vm instance metadata for the vm compute instances setmetadata on the project to set tags for the vm compute instances settags on the vm to set labels for the vm compute instances setlabels on the vm to set a service account for the vm to use compute instances setserviceaccount on the vm to create a new disk for the vm compute disks create on the project to attach an existing disk in read only or read write mode compute disks use on the disk to attach an existing disk in read only mode compute disks usereadonly on the disk you might also be able to get these permissions with custom roles or other predefined roles overview creating hpc instances in bulk with the h4d machine type includes the following steps optional create virtual private cloud networks optional create a placement policy if you aren t creating the compute instances on the same block or sub block create h4d instances in bulk optional create virtual private cloud networks when you create a compute instance you can specify a vpc network and subnet if you omit this configuration the default network and subnet are used if you want to configure the h4d instances in the mig to use cloud rdma then complete the steps in this section if you don t want to use cloud rdma then you can skip this section and use the default network instead to use cloud rdma with h4d instances you must have at least two networks configured one for each type of network interface nic nic type gvnic uses the gve driver for tcp ip and internet traffic for normal vm vm and vm internet communication nic type irdma uses idpf irdma drivers for cloud rdma networking between instances instances that use cloud rdma can have only one irdma interface you can add up to eight additional gvnic network interfaces for a total of 10 vnics per instance to set up the falcon vpc networks to use with your instances you can either follow the documented instructions or use the provided script instruction guides to create the networks you can use the following instructions to create the host networks for the gvnic network interfaces see create and manage vpc networks if you are configuring only one gvnic network interface you can use the default vpc network and the auto subnet that s in the same region as the instance to create a network for the irdma network interface see create a vpc network with a falcon vpc network profile use the default value for the maximum transmission unit mtu for a falcon vpc network which is 8896 script you can create up to nine gvnic network interfaces and one irdma network interface per instance each network interface must attach to a separate network to create the networks you can use the following script which creates two networks for gvnic and one network for irdma optional before running the script lis...
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