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Be there for the latest AI innovations at Google Cloud Next, April 9-11 in Vegas—register today.Compute Engine Virtual machines for any workloadEasily create and run online VMs on high-performance, reliable cloud infrastructure. Choose from preset or custom machine types for web servers, databases, AI, and more.Get one e2-micro VM instance, up to 30 GB storage, and up to 1 GB of outbound data transfers free per month.Try it in consoleContact salesProduct highlightsHow to choose and deploy your first VMEncrypt sensitive data with Confidential VMsCustomize your VMs for different compute, memory, performance, and cost requirementsHow to choose the right VM5-minute video explainerFeaturesPreset and custom configurationsDeploy an application in minutes with prebuilt samples called Jump Start Solutions. Create a dynamic website, load-balanced VM, three-tier web app, or ecommerce web app.Choose from predefined machine types, sizes, and configurations for any workload, from large enterprise applications, to modern workloads (like containers) or AI/ML projects that require GPUs and TPUs.For more flexibility, create a custom machine type between 1 and 96 vCPUs with up to 8.0 GB of memory per core. And leverage one of many block storage options, from flexible Persistent Disk to high performance and low-latency Local SSD.Industry-leading reliabilityCompute Engine offers the best single instance compute availability SLA of any cloud provider: 99.95% availability for memory-optimized VMs and 99.9% for all other VM families. Is downtime keeping you up at night? Maintain workload continuity during planned and unplanned events with live migration. When a VM goes down, Compute Engine performs a live migration to another host in the same zone.Automations and recommendations for resource efficiencyAutomatically add VMs to handle peak load and replace underperforming instances with managed instance groups. Manually adjust your resources using historical data with rightsizing recommendations, or guarantee capacity for planned demand spikes with future reservations.All of our latest compute instances (including C4A, C4, N4, C3D, X4, and Z3) run on Titanium, a system of purpose-built microcontrollers and tiered scale-out offloads to improve your infrastructure performance, life cycle management, and security.Transparent pricing and discountingReview detailed pricing guidance for any VM type or configuration, or use our pricing calculator to get a personalized estimate.To save on batch jobs and fault-tolerant workloads, use Spot VMs to reduce your bill from 60-91%.Receive automatic discounts for sustained use, or up to 70% off when you sign up for committed use discounts.Security controls and configurationsEncrypt data-in-use and while it’s being processed with Confidential VMs. Defend against rootkits and bootkits with Shielded VMs.Meet stringent compliance standards for data residency, sovereignty, access, and encryption with Assured Workloads.Workload ManagerNow available for SAP workloads, Workload Manager evaluates your application workloads by detecting deviations from documented standards and best practices to proactively prevent issues, continuously analyze workloads, and simplify system troubleshooting.VM ManagerVM Manager is a suite of tools that can be used to manage operating systems for large virtual machine (VM) fleets running Windows and Linux on Compute Engine.Sole-tenant nodesSole-tenant nodes are physical Compute Engine servers dedicated exclusively for your use. Sole-tenant nodes simplify deployment for bring-your-own-license (BYOL) applications. Sole-tenant nodes give you access to the same machine types and VM configuration options as regular compute instances.TPU acceleratorsCloud TPUs can be added to accelerate machine learning and artificial intelligence applications. Cloud TPUs can be reserved, used on-demand, or available as preemptible VMs.Linux and Windows supportRun your choice of OS, including Debian, CentOS Stream, Fedora CoreOS, SUSE, Ubuntu, Red Hat Enterprise Linux, FreeBSD, or Windows Server 2008 R2, 2012 R2, and 2016. You can also use a shared image from the Google Cloud community or bring your own.Container supportRun, manage, and orchestrate Docker containers on Compute Engine VMs with Google Kubernetes Engine.Placement policyUse placement policy to specify the location of your underlying hardware instances. Spread placement policy provides higher reliability by placing instances on distinct hardware, reducing the impact of underlying hardware failures. Compact placement policy provides lower latency between nodes by placing instances close together within the same network infrastructure. View all featuresChoose the right VM for your workload and requirementsOptimizationWorkloadsOur recommendationEfficientLowest cost per core.Web and app servers (low traffic)Dev and test environmentsContainerized microservicesVirtual desktopsGeneral purpose E-SeriesE2FlexibleBest price-performance for balanced and flexible workloads. Web and app servers (low to medium traffic)Containerized microservicesVirtual desktopsBack-office, CRM, or BI applicationsData pipelinesDatabases (small to medium sized)General purpose N-SeriesN4, N2, N2D, and N1PerformanceBest performance with advanced capabilities.Web and app servers (high traffic)Ad serversGame serversData analyticsDatabases (any size)In-memory cachesMedia streaming and transcodingCPU-based AI/MLGeneral purpose C-SeriesC4A, C4, C3, C3DComputeHighest compute per core.Web and app servers Game serversMedia streaming and transcoding Compute-bound workloads High performance computing (HPC)CPU-based AI/MLSpecialized H-SeriesH3MemoryHighest memory per core.Databases (large)In-memory cachesElectronic design automationModeling and simulationSpecialized M-Series X4, M3Storage Highest storage per core.Data analyticsDatabases (large horizontal scale-out, flash-optimized, data warehouses, and more)Specialized Z-SeriesZ3Inference and visualization with GPUsBest performance for inference and visualization tasks requiring GPUs.CUDA-enabled ML training and inferenceVideo transcodingSpecialized G-seriesG2All other GPU tasksHighest performing GPUs.Massively parallelized computation BERT natural language processing Deep learning recommendation model (DLRM)Specialized A-seriesA3Documentation: Machine families resource and comparison guideEfficientLowest cost per core.WorkloadsWeb and app servers (low traffic)Dev and test environmentsContainerized microservicesVirtual desktopsOur recommendationGeneral purpose E-SeriesE2FlexibleBest price-performance for balanced and flexible workloads. WorkloadsWeb and app servers (low to medium traffic)Containerized microservicesVirtual desktopsBack-office, CRM, or BI applicationsData pipelinesDatabases (small to medium sized)Our recommendationGeneral purpose N-SeriesN4, N2, N2D, and N1PerformanceBest performance with advanced capabilities.WorkloadsWeb and app servers (high traffic)Ad serversGame serversData analyticsDatabases (any size)In-memory cachesMedia streaming and transcodingCPU-based AI/MLOur recommendationGeneral purpose C-SeriesC4A, C4, C3, C3DComputeHighest compute per core.WorkloadsWeb and app servers Game serversMedia streaming and transcoding Compute-bound workloads High performance computing (HPC)CPU-based AI/MLOur recommendationSpecialized H-SeriesH3MemoryHighest memory per core.WorkloadsDatabases (large)In-memory cachesElectronic design automationModeling and simulationOur recommendationSpecialized M-Series X4, M3Storage Highest storage per core.WorkloadsData analyticsDatabases (large horizontal scale-out, flash-optimized, data warehouses, and more)Our recommendationSpecialized Z-SeriesZ3Inference and visualization with GPUsBest performance for inference and visualization tasks requiring GPUs.WorkloadsCUDA-enabled ML training and inferenceVideo transcodingOur recommendationSpecialized G-seriesG2All other GPU tasksHighest performing GPUs.WorkloadsMassively parallelized computation BERT natural language processing Deep learning recommendation model (DLRM)Our recommendationSpecialized A-seriesA3Documentation: Machine families resource and comparison guideHow It WorksCompute Engine is a computing and hosting service that lets you create and run virtual machines on Google infrastructure, comparable to Amazon EC2 and Azure Virtual Machines. Compute Engine offers scale, performance, and value that lets you easily launch large compute clusters with no up-front investment.Guides: How to get startedCompute Engine in 2-minutesCommon UsesCreate your first VMThree ways to get startedComplete a tutorial. Learn how to deploy a Linux VM, Windows Server VM, load balanced VM, Java app, custom website, LAMP stack, and much more.Deploy a pre-configured sample application—Jump Start Solution—in just a few clicks.Create a VM from scratch using the Google Cloud console, CLI, API, or Client Libraries like C#, Go, and Java. Use our documentation for step-by-step guidance.Documentation: Creating a VM instanceBlog: What is a Jump Start Solution?Documentation: Create custom VM images from source disks, images, and snapshotsDocumentation: Create multiple VMs that you can treat as a single entity with managed instance groups How to choose the right VMWith thousands of applications, each with different requirements, which VM is right for you?Video: Choose the right VMDocumentation: View available regions and zonesDocumentation: Choose a VM deployment strategyDocumentation: Understand networking for VMsTutorials, quickstarts, & labsThree ways to get startedComplete a tutorial. Learn how to deploy a Linux VM, Windows Server VM, load balanced VM, Java app, custom website, LAMP stack, and much more.Deploy a pre-configured sample application—Jump Start Solution—in just a few clicks.Create a VM from scratch using the Google Cloud console, CLI, API, or Client Libraries like C#, Go, and Java. Use our documentation for step-by-step guidance.Documentation: Creating a VM instanceBlog: What is a Jump Start Solution?Documentation: Create custom VM images from source disks, images, and snapshotsDocumentation: Create multiple VMs that you can treat as a single entity with managed instance groups Learning resourcesHow to choose the right VMWith thousands of applications, each with different requirements, which VM is right for you?Video: Choose the right VMDocumentation: View available regions and zonesDocumentation: Choose a VM deployment strategyDocumentation: Understand networking for VMsMigrate and optimize enterprise applicationsThree ways to get startedComplete a lab or tutorial. Generate a rapid estimate of your migration costs, learn how to migrate a Linux VM, VMware, SQL servers, and much more.Visit the Cloud Architecture Center for advice on how to plan, design, and implement your cloud migration.Apply for end-to-end migration and modernization support via Google Cloud’s Rapid Migration Program (RaMP).Guide: Migrate to Google Cloud Guide and checklist: Migrating workloads to the public cloudAnnounced at Next ’24: Optimize costs and efficiency with new compute operations solutionsGuide: Visit the Cloud Architecture CenterAccess documentation, guides, and reference architecturesMigration Center is Google Cloud's unified migration platform. With features like cloud spend estimation, asset discovery, and a variety of tooling for different migration scenarios, it provides you with what you need to get started.Start here: Google Cloud Migration CenterGuide: Bring your own licensesGuide: SAP HANA on Compute EngineGuide: Migrate VMware to Compute EngineTutorials, quickstarts, & labsThree ways to get startedComplete a lab or tutorial. Generate a rapid estimate of your migration costs, learn how to migrate a Linux VM, VMware, SQL servers, and much more.Visit the Cloud Architecture Center for advice on how to plan, design, and implement your cloud migration.Apply for end-to-end migration and modernization support via Google Cloud’s Rapid Migration Program (RaMP).Guide: Migrate to Google Cloud Guide and checklist: Migrating workloads to the public cloudAnnounced at Next ’24: Optimize costs and efficiency with new compute operations solutionsGuide: Visit the Cloud Architecture CenterLearning resourcesAccess documentation, guides, and reference architecturesMigration Center is Google Cloud's unified migration platform. With features like cloud spend estimation, asset discovery, and a variety of tooling for different migration scenarios, it provides you with what you need to get started.Start here: Google Cloud Migration CenterGuide: Bring your own licensesGuide: SAP HANA on Compute EngineGuide: Migrate VMware to Compute EngineBackup and restore your applicationsExplore your optionsCompute Engine offers ways to backup and restore:Virtual machine instancesPersistent Disk and Hyperdisk volumesWorkloads running in Compute Engine and on-premisesStart with a tutorial, or read the detailed options in our documentation.Documentation: Backup and restoreAccess a fully managed backup and disaster recovery serviceWe offer a managed backup and disaster recovery (DR) service for centralized data protection of VMs and other workloads running in Google Cloud and on-premises. It uses snapshots to incrementally backup data from your persistent disks at the instance level. Overview: Backup and DR serviceVideo: Rock-solid business continuity and data protection on Google CloudTutorials, quickstarts, & labsExplore your optionsCompute Engine offers ways to backup and restore:Virtual machine instancesPersistent Disk and Hyperdisk volumesWorkloads running in Compute Engine and on-premisesStart with a tutorial, or read the detailed options in our documentation.Documentation: Backup and restoreLearning resourcesAccess a fully managed backup and disaster recovery serviceWe offer a managed backup and disaster recovery (DR) service for centralized data protection of VMs and other workloads running in Google Cloud and on-premises. It uses snapshots to incrementally backup data from your persistent disks at the instance level. Overview: Backup and DR serviceVideo: Rock-solid business continuity and data protection on Google CloudRun modern container-based applicationsThree ways to deploy containersContainers let you run your apps with fewer dependencies on the host virtual machine and independently from other containerized apps using the same host.If you need complete control over your environment, run container images directly on Compute Engine.To simplify cluster management and container orchestration tasks, use Google Kubernetes Engine (GKE).To completely remove the need for clusters or infrastructure management, use Cloud Run.Guide: What are containers?Documentation: Deploy containers on Compute EngineDocumentation: Deploy containers on Google Kubernetes EngineDocumentation: Deploy containers on Google Cloud RunTutorials, quickstarts, & labsThree ways to deploy containersContainers let you run your apps with fewer dependencies on the host virtual machine and independently from other containerized apps using the same host.If you need complete control over your environment, run container images directly on Compute Engine.To simplify cluster management and container orchestration tasks, use Google Kubernetes Engine (GKE).To completely remove the need for clusters or infrastructure management, use Cloud Run.Guide: What are containers?Documentation: Deploy containers on Compute EngineDocumentation: Deploy containers on Google Kubernetes EngineDocumentation: Deploy containers on Google Cloud RunInfrastructure for AI workloadsAI-optimized hardware We designed the accelerator-optimized machine family to deliver the performance and efficiency you need for AI workloads. Start by comparing our GPUs, or learn about TPUs for large scale AI training and inference tasks.Documentation: Accelerator-optimized VMsArchitecture: Learn about Google Cloud’s supercomputer architecture, AI HypercomputerDocumentation: Understand and compare GPUsOverview: What is a TPU?What’s the difference between a CPU, GPU, and TPU?Learning resourcesAI-optimized hardware We designed the accelerator-optimized machine family to deliver the performance and efficiency you need for AI workloads. Start by comparing our GPUs, or learn about TPUs for large scale AI training and inference tasks.Documentation: Accelerator-optimized VMsArchitecture: Learn about Google Cloud’s supercomputer architecture, AI HypercomputerDocumentation: Understand and compare GPUsOverview: What is a TPU?What’s the difference between a CPU, GPU, and TPU?PricingHow Compute Engine pricing worksCompute Engine pricing varies based on your requirements for performance, storage, networking, location, and more.ServicesDescriptionPrice (USD)Get started freeNew users get $300 in free trial credits to use within 90 days.FreeThe Compute Engine free tier gives you one e2-micro VM instance, up to 30 GB storage, and up to 1 GB of outbound data transfers per month.FreeVM instancesPay-as-you-goOnly pay for the services you use. No up-front fees. No termination charges. Pricing varies by product and usage.Starting at$0.01(e2-micro)Confidential VMsEncrypt data-in-use and while it’s being processed.Starting at$0.936Per vCPU per monthSole tenant nodesPhysical servers dedicated to your project. Pay a premium on top of the standard price (pay-as-you-go rate for selected vCPU and memory resources).+10%On top of standard priceDiscount: Committed usePay less when you commit to a minimum spend in advance.Save up to 70%Discount: Spot VMsPay less when you run fault-tolerant jobs using excess Compute Engine capacity.Save up to 91%Discount: Sustained usePay less on resources that are used for more than 25% of a month (and are not receiving any other discounts).Save up to 30%StoragePersistent diskDurable network storage devices that your virtual machine (VM) instances can access. The data on each Persistent Disk volume is distributed across several physical disks.Starting at$0.04 Per GB per monthHyperdiskThe fastest persistent disk storage for Compute Engine, with configurable performance and volumes that can be dynamically resized.Starting at$0.125 Per GB per monthLocal SSDPhysically attached to the server that hosts your VM.Starting at$0.08Per GB per monthNetworkingStandard tierLeverage the public internet to carry traffic between your services and your users.FreeInbound transfers, always. Outbound transfers, up to 200 GB per month.Premium tierLeverage Google's premium backbone to carry traffic to and from your external users.Starting at$0.08Per GB per month for outbound data transfers. Inbound transfers remain free.To estimate costs based on your requirements, use our pricing calculator or reach out to our sales team to request a quote.How Compute Engine pricing worksCompute Engine pricing varies based on your requirements for performance, storage, networking, location, and more.Get started freeDescriptionNew users get $300 in free trial credits to use within 90 days.Price (USD)FreeThe Compute Engine free tier gives you one e2-micro VM instance, up to 30 GB storage, and up to 1 GB of outbound data transfers per month.DescriptionFreeVM instancesDescriptionPay-as-you-goOnly pay for the services you use. No up-front fees. No termination charges. Pricing varies by product and usage.Price (USD)Starting at$0.01(e2-micro)Confidential VMsEncrypt data-in-use and while it’s being processed.DescriptionStarting at$0.936Per vCPU per monthSole tenant nodesPhysical servers dedicated to your project. Pay a premium on top of the standard price (pay-as-you-go rate for selected vCPU and memory resources).Description+10%On top of standard priceDiscount: Committed usePay less when you commit to a minimum spend in advance.DescriptionSave up to 70%Discount: Spot VMsPay less when you run fault-tolerant jobs using excess Compute Engine capacity.DescriptionSave up to 91%Discount: Sustained usePay less on resources that are used for more than 25% of a month (and are not receiving any other discounts).DescriptionSave up to 30%StorageDescriptionPersistent diskDurable network storage devices that your virtual machine (VM) instances can access. The data on each Persistent Disk volume is distributed across several physical disks.Price (USD)Starting at$0.04 Per GB per monthHyperdiskThe fastest persistent disk storage for Compute Engine, with configurable performance and volumes that can be dynamically resized.DescriptionStarting at$0.125 Per GB per monthLocal SSDPhysically attached to the server that hosts your VM.DescriptionStarting at$0.08Per GB per monthNetworkingDescriptionStandard tierLeverage the public internet to carry traffic between your services and your users.Price (USD)FreeInbound transfers, always. Outbound transfers, up to 200 GB per month.Premium tierLeverage Google's premium backbone to carry traffic to and from your external users.DescriptionStarting at$0.08Per GB per month for outbound data transfers. Inbound transfers remain free.To estimate costs based on your requirements, use our pricing calculator or reach out to our sales team to request a quote.Pricing CalculatorEstimate your monthly Compute Engine charges, including cluster management fees.Estimate pricingNeed help?Chat to us online, call us directly or request a call back.Contact usStart your proof of conceptTry Compute Engine in the console, with one e2-micro VM instance free per month.Go to my consoleHave a large project?Contact salesBrowse quickstarts, tutorials, or interactive walkthroughs for Compute EngineBrowse quickstartsChoose a learning path, build your skills, and validate your knowledge with Cloud Skills BoostBrowse learning pathsLearn and experiment with pre-built solution templates handpicked by our expertsBrowse Jump Start SolutionsBusiness CaseLearn from Compute Engine customers Migrating 40,000 on-prem VMs to the cloud, Sabre reduced their IT costs by 40%. Joe DiFonzo, CIO, Sabre“We’ve taken hundreds of millions of dollars of costs out of our business.” Watch the interviewRelated contentGamebear uses Cloud Load Balancing to decreased network latency by 10X.With a 99.99% uptime SLA, Macy's feel confident their systems will run seamlessly.Wayfair uses GPUs to automate 3D model creation, reducing costs by $9M.Partners & IntegrationAccelerate your migration with partnersAssessment and planningMigrationReady to move your compute workloads to Google Cloud? These partners can guide you through every stage—from initial planning and assessment to migration.FAQExpand allWhat is Compute Engine? What can it do?Compute Engine is an Infrastructure-as-a-Service product offering flexible, self-managed virtual machines (VMs) hosted on Google's infrastructure. Compute Engine includes Linux and Windows-based VMs running on KVM, local and durable storage options, and a simple REST-based API for configuration and control. The service integrates with Google Cloud technologies, such as Cloud Storage, App Engine, and BigQuery to extend beyond the basic computational capability to create more complex and sophisticated apps.What is a virtual CPU in Compute Engine?On Compute Engine, each virtual CPU (vCPU) is implemented as a single hardware hyper-thread on one of the available CPU Platforms. On Intel Xeon processors, Intel Hyper-Threading Technology allows multiple application threads to run on each physical processor core. You configure your Compute Engine VMs with one or more of these hyper-threads as vCPUs. The machine type specifies the number of vCPUs that your instance has.How do App Engine and Compute Engine relate to each other?We see the two as being complementary. App Engine is Google's Platform-as-a-Service offering and Compute Engine is Google's Infrastructure-as-a-Service offering. App Engine is great for running web-based apps, line of business apps, and mobile backends. Compute Engine is great for when you need more control of the underlying infrastructure. For example, you might use Compute Engine when you have highly customized business logic or you want to run your own storage system.How do I get started?Try these getting started guides, or try one of our quickstart tutorials.How does pricing and purchasing work?Compute Engine charges based on compute instance, storage, and network use. VMs are charged on a per-second basis with a one minute minimum. Storage cost is calculated based on the amount of data you store. Network cost is calculated based on the amount of data transferred between VMs that communicate with each other and with the internet. For more information, review our price sheet.Do you offer paid support?Yes, we offer paid support for enterprise customers. For more information, contact our sales organization.Do you offer a Service Level Agreement (SLA)?Yes, we offer a Compute Engine SLA.Where can I send feedback?For billing-related questions, you can send questions to the appropriate support channel.For feature requests and bug reports, submit an issue to our issues tracker.How can I create a project?Go to the Google Cloud console. When prompted, select an existing project or create a new project.Follow the prompts to set up billing. If you are new to Google Cloud, you have free trial credit to pay for your instances.What is the difference between a project number and a project ID?Every project can be identified in two ways: the project number or the project ID. The project number is automatically created when you create the project, whereas the project ID is created by you, or whoever created the project. The project ID is optional for many services, but is required by Compute Engine. For more information, see Google Cloud console projects.What steps does Google take to protect my data?See disk encryption.How do I choose the right size for my persistent disk?Persistent disk performance scales with the size of the persistent disk. Use the persistent disk performance chart to help decide what size disk works for you. If you're not sure, read the documentation to decide how big to make your persistent disk.Where can I request more quota for my project?By default, all Compute Engine projects have default quotas for various resource types. However, these default quotas can be increased on a per-project basis. Check your quota limits and usage in the quota page on the Google Cloud console. If you reach the limit for your resources and need more quota, make a request to increase the quota for certain resources using the IAM quotas page. You can make a request using the Edit Quotas button on the top of the page.What kind of machine configuration (memory, RAM, CPU) can I choose for my instance?Compute Engine offers several configurations for your instance. You can also create custom configurations that match your exact instance needs. See the full list of available options on the machine types page.If I accidentally delete my instance, can I retrieve it?No, instances that have been deleted cannot be retrieved. However, if an instance is simply stopped, you can start it again.Do I have the option of using a regional data center in selected countries?Yes, Compute Engine offers data centers around the world. These data center options are designed to provide low latency connectivity options from those regions. For specific region information, including the geographic location of regions, see regions and zones.How can I tell if a zone is offline?The Compute Engine Zones section in the Google Cloud console shows the status of each zone. You can also get the status of zones through the command-line tool by running gcloud compute zones list, or through the Compute Engine API with the compute.zones.list method.What operating systems can my instances run on?Compute Engine supports several operating system images and third-party images. Additionally, you can create a customized version of an image or build your own image.What are the available zones I can create my instance in?For a list of available regions and zones, see regions and zones.What if my question wasn’t answered here?Take a look at a longer list of FAQs here.More ways to get your questions answeredAll Compute FAQsAsk us a questionGoogle Accountjamzith [email protected] |
