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Compute Engine | Google Cloud

Virtual machines for any workload

Easily 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 free per month. New customers also get $300 in free credits to try Compute Engine and other Google Cloud products.

Features

Preset and custom configurations

Industry-leading reliability

Compute 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 efficiency

Automatically 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, C4D, 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 discounting

Security controls and configurations

Encrypt 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 Manager

Now 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 Manager

VM 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 nodes

Sole-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 accelerators

Cloud 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 support

Run 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 support

Run, manage, and orchestrate Docker containers on Compute Engine VMs with Google Kubernetes Engine.

Placement policy

Use 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. 

Choose the right VM for your workload and requirements

Optimization Workloads Our recommendation

Efficient

Lowest cost per core.

General purpose E-Series

E2

Flexible

Best price-performance for balanced and flexible workloads. 

General purpose N-Series

N4, N2, N2D, and N1

Performance

Best performance with advanced capabilities.

General purpose C-Series

C4A, C4, C3, C3D, C4D (preview)

Compute

Highest compute per core.

Specialized H-Series

H3, H4D (preview)

Memory

Highest memory per core.

Specialized M-Series 

X4, M3, M4 (preview)

Storage

Highest storage per core.

Specialized Z-Series

Z3, Z3H Bare Metal (preview)

Training, inference, and HPC with GPUs

Highest performing GPUs.

Specialized A-series

A4, A3

Graphics and inference with GPUs

Balanced performance and efficiency GPUs.

Specialized G-series

G2

Efficient

Lowest cost per core.

Workloads

Our recommendation

General purpose E-Series

E2

Flexible

Best price-performance for balanced and flexible workloads. 

Workloads

Our recommendation

Performance

Best performance with advanced capabilities.

Workloads

Our recommendation

Compute

Highest compute per core.

Workloads

Our recommendation

Memory

Highest memory per core.

Workloads

Our recommendation

Specialized M-Series 

X4, M3, M4 (preview)

Storage

Highest storage per core.

Workloads

Our recommendation

Specialized Z-Series

Z3, Z3H Bare Metal (preview)

Training, inference, and HPC with GPUs

Highest performing GPUs.

Workloads

Our recommendation

Specialized A-series

A4, A3

Graphics and inference with GPUs

Balanced performance and efficiency GPUs.

Workloads

Our recommendation

How It Works

Compute 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 started

A quick overview of Compute Engine, and how this Google Cloud tool can help you seamlessly migrate your workloads to the Cloud

Common Uses

Create your first VM Tutorials, quickstarts, & labs Learning resources

Three ways to get started

  1. Complete a tutorial. Learn how to deploy a Linux VM, Windows Server VM, load balanced VM, Java app, custom website, LAMP stack, and much more.
  2. Deploy a pre-configured sample application—Jump Start Solution—in just a few clicks.
  3. 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 instance

How to choose the right VM

With thousands of applications, each with different requirements, which VM is right for you?

Video: Choose the right VM Tutorials, quickstarts, & labs

Three ways to get started

  1. Complete a tutorial. Learn how to deploy a Linux VM, Windows Server VM, load balanced VM, Java app, custom website, LAMP stack, and much more.
  2. Deploy a pre-configured sample application—Jump Start Solution—in just a few clicks.
  3. 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 instance Learning resources

How to choose the right VM

With thousands of applications, each with different requirements, which VM is right for you?

Video: Choose the right VM Migrate and optimize enterprise applications Tutorials, quickstarts, & labs Learning resources

Three ways to get started

  1. Complete 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.
  2. Visit the Cloud Architecture Center for advice on how to plan, design, and implement your cloud migration.
  3. Apply for end-to-end migration and modernization support via Google Cloud’s Rapid Migration Program (RaMP).
Guide: Migrate to Google Cloud

Access documentation, guides, and reference architectures

Migration 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 Center Tutorials, quickstarts, & labs

Three ways to get started

  1. Complete 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.
  2. Visit the Cloud Architecture Center for advice on how to plan, design, and implement your cloud migration.
  3. Apply for end-to-end migration and modernization support via Google Cloud’s Rapid Migration Program (RaMP).
Guide: Migrate to Google Cloud Learning resources

Access documentation, guides, and reference architectures

Migration 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 Center Backup and restore your applications Tutorials, quickstarts, & labs Learning resources

Explore your options

Compute Engine offers ways to backup and restore:

  1. Virtual machine instances
  2. Persistent Disk and Hyperdisk volumes
  3. Workloads running in Compute Engine and on-premises

Start with a tutorial, or read the detailed options in our documentation.

Documentation: Backup and restore

Access a fully managed backup and disaster recovery service

We 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 service Tutorials, quickstarts, & labs

Explore your options

Compute Engine offers ways to backup and restore:

  1. Virtual machine instances
  2. Persistent Disk and Hyperdisk volumes
  3. Workloads running in Compute Engine and on-premises

Start with a tutorial, or read the detailed options in our documentation.

Documentation: Backup and restore Learning resources

Access a fully managed backup and disaster recovery service

We 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 service Run modern container-based applications Tutorials, quickstarts, & labs

Three ways to deploy containers

Containers let you run your apps with fewer dependencies on the host virtual machine and independently from other containerized apps using the same host.

  1. If you need complete control over your environment, run container images directly on Compute Engine.
  2. To simplify cluster management and container orchestration tasks, use Google Kubernetes Engine (GKE).
  3. To completely remove the need for clusters or infrastructure management, use Cloud Run.
Guide: What are containers? Tutorials, quickstarts, & labs

Three ways to deploy containers

Containers let you run your apps with fewer dependencies on the host virtual machine and independently from other containerized apps using the same host.

  1. If you need complete control over your environment, run container images directly on Compute Engine.
  2. To simplify cluster management and container orchestration tasks, use Google Kubernetes Engine (GKE).
  3. To completely remove the need for clusters or infrastructure management, use Cloud Run.
Guide: What are containers? Infrastructure for AI workloads Learning resources

AI-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 VMs Learning resources

AI-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 VMs

Pricing

How Compute Engine pricing works Compute Engine pricing varies based on your requirements for performance, storage, networking, location, and more. Services Description Price (USD)

Get started free

New users get $300 in free trial credits to use within 90 days.

Free

The Compute Engine free tier gives you one e2-micro VM instance, up to 30 GB standard persistent disk storage, and up to 1 GB of outbound data transfers per month.

Free

VM instances

Pay-as-you-go

Only 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 VMs

Encrypt data-in-use and while it’s being processed.

Starting at

$0.936

Per vCPU per month

Sole tenant nodes

Physical 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 price

Discount: Committed use

Pay less when you commit to a minimum spend in advance.

Save up to 70%

Discount: Spot VMs

Pay less when you run fault-tolerant jobs using excess Compute Engine capacity.

Save up to 91%

Discount: Sustained use

Pay less on resources that are used for more than 25% of a month (and are not receiving any other discounts).

Save up to 30%

Storage

Persistent disk

Durable 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 month

Hyperdisk

The fastest persistent disk storage for Compute Engine, with configurable performance and volumes that can be dynamically resized.

Starting at

$0.125

Per GB per month

Local SSD

Physically attached to the server that hosts your VM.

Starting at

$0.08

Per GB per month

Networking

Standard tier

Leverage the public internet to carry traffic between your services and your users.

Free

Inbound transfers, always. Outbound transfers, up to 200 GB per month.

Premium tier

Leverage Google's premium backbone to carry traffic to and from your external users.

Starting at

$0.08

Per GB per month for outbound data transfers. Inbound transfers remain free.

How Compute Engine pricing works

Compute Engine pricing varies based on your requirements for performance, storage, networking, location, and more.

Description

Price (USD)

Free

The Compute Engine free tier gives you one e2-micro VM instance, up to 30 GB standard persistent disk storage, and up to 1 GB of outbound data transfers per month.

Description

Free

Description

Pay-as-you-go

Only 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)

Description

Starting at

$0.936

Per vCPU per month

Sole tenant nodes

Physical 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 price

Discount: Committed use

Pay less when you commit to a minimum spend in advance.

Description

Save up to 70%

Discount: Spot VMs

Pay less when you run fault-tolerant jobs using excess Compute Engine capacity.

Description

Save up to 91%

Discount: Sustained use

Pay less on resources that are used for more than 25% of a month (and are not receiving any other discounts).

Description

Save up to 30%

Description

Persistent disk

Durable 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 month

Hyperdisk

The fastest persistent disk storage for Compute Engine, with configurable performance and volumes that can be dynamically resized.

Description

Starting at

$0.125

Per GB per month

Local SSD

Physically attached to the server that hosts your VM.

Description

Starting at

$0.08

Per GB per month

Description

Standard tier

Leverage the public internet to carry traffic between your services and your users.

Price (USD)

Free

Inbound transfers, always. Outbound transfers, up to 200 GB per month.

Premium tier

Leverage Google's premium backbone to carry traffic to and from your external users.

Description

Starting at

$0.08

Per GB per month for outbound data transfers. Inbound transfers remain free.

Pricing Calculator

Estimate your monthly Compute Engine charges, including cluster management fees.

Need help?

Chat to us online, call us directly or request a call back.

Start your proof of concept

New customers get $300 in free credits to try Compute and other Google Cloud products.

Browse quickstarts, tutorials, or interactive walkthroughs for Compute Engine

Choose a learning path, build your skills, and validate your knowledge with Cloud Skills Boost

Learn and experiment with pre-built solution templates handpicked by our experts

Browse Jump Start Solutions

Business Case

Learn 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.”

Partners & Integration

Accelerate your migration with partners

Assessment and planning Migration

Ready to move your compute workloads to Google Cloud? These partners can guide you through every stage—from initial planning and assessment to migration.

What 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 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)?

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?

  1. Go to the Google Cloud console. When prompted, select an existing project or create a new project.
  2. 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?

How do I choose the right size for my 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?

What operating systems can my instances run on?

What are the available zones I can create my instance in?

What if my question wasn’t answered here?

Take a look at a longer list of FAQs here.

More ways to get your questions answered


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