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Compute Engine 







Compute Engine 



Computing  infrastructure in predefined or custom machine sizes to  accelerate your cloud transformation.  
Try it free  

action/check_circle_24px  Created with Sketch.  
General purpose (E2, N1, N2, N2D) machines provide a good  balance of price and performance
 

action/check_circle_24px  Created with Sketch.  
Compute optimized (C2) machines offer high-end vCPU  performance for compute-intensive workloads
 

action/check_circle_24px  Created with Sketch.  
Memory optimized (M2) machines offer the highest memory  and are great for in-memory databases
 

action/check_circle_24px  Created with Sketch.  
Accelerator optimized (A2) machines are based on the A100  GPU, for very demanding applications
 





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Forrester  names Google Cloud a Leader among Public Cloud Development  and Infrastructure Platforms
 

Register to download the report  







Benefits
 



Easy integration

 

Integrate Compute with other Google Cloud services such  as AI/ML and data analytics.
 


Scale globally as needed

 

Make reservations to help ensure your applications have  the capacity they need as they scale.
 


Get more value

 

Save money just for running Compute with sustained-use  discounts, and achieve greater savings when you use  committed-use discounts.
 






Key features
 

Key features 




Confidential computing


Confidential VMs  are a breakthrough technology that allows you to encrypt  your most sensitive data in the cloud while its being  processed.
 
Live migration for VMs


Compute Engine virtual machines can  live-migrate  between host systems without rebooting, which keeps your  applications running even when host systems require  maintenance.
 
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.
 
View all features  



An overview of Compute Engine video

3:00  


VIDEO
An overview of Compute Engine
 






Customers
 

Customers 








Spotify and Google Cloud text over image of customer holding headphones
2:54  
Spotify uses Google Cloud to unlock infinite capacity and faster innovation
 




Story highlights

 




Spotify is solving  for faster innovation
 




Spotify is solving  for billions of unique experiences
 




Spotify is solving  for scale
 



Industry

 




Media & Entertainment  















02:01  



Twitter created a hybrid-cloud solution that merged separate compute and storage platforms.
 








The Home Depot runs more than 600 projects in Google Cloud.
 








PayPal increased scale and reach to serve 300 million active accounts in 200 markets.
 




See all customers  




What's new
 



What's new



Sign up  for Google Cloud newsletters to receive product updates,  event information, special offers, and more.
 








Blog post image


Blog post  

Picking the right licensing model for your VMs   Read the blog  



A2 blog image


Blog post  

New Compute Engine A2 VMsfirst NVIDIA Ampere A100 GPUs in the cloud   Read the blog  



Choosing the right VM blog image


Blog post  

Choosing the right machine family and type   Read the blog  



Compute engine blog image


Blog post  

5 best practices for Compute Engine cost optimization   Read the blog  

















Documentation  




Documentation 










Quickstart 
Quickstart using a Linux VM

Create an instance  and connect to that instance using SSH.
 


Learn more  





Google Cloud Basics 
Confidential VMs and Compute Engine

Learn more about  Confidential VMs in Compute Engine, including support  for end-to-end encryption, compute-heavy workloads,  and more security and privacy features.
 


Learn more  





Google Cloud Basics 
Boot  disk images

Learn about the  public images that you can use to create your VMs, or  learn how to create and import your own custom images  to Compute Engine.
 


Learn more  





APIs & Libraries 
Using the Compute Engine API through client libraries  

Use client libraries  to create and manage Compute Engine resources in Go,  Python, Java, Node.js, and other languages.
 


Learn more  





Tutorial 
Create managed instance groups 

Managed instance  groups maintain high availability of your applications  by proactively keeping your VM instances  available.
 


Learn more  





Google Cloud Basics 
Virtual Private Cloud (VPC) network overview

A VPC network  provides connectivity for your Compute Engine VM  instances. Configure your VPC network and firewalls to  handle network traffic for your applications.  



Learn more  





Google Cloud Basics 
Identity and Access Management (IAM) overview

Use IAM roles and  permissions to manage access and permissions to your  Compute Engine resources. 



Learn more  





Google Cloud Basics 
Compute Engine resources

Find Compute Engine  pricing along with discounts, benchmarks, zonal  resources, release notes and more. 



Learn more  





Google Cloud Basics 
Explore what you can build on GCP

Find out how to  migrate and modernize workloads on Googles global,  secure, and reliable infrastructure.
 


Learn more  





View all product documentation  









Explore more docs

 




Quickstarts

Get a quick intro to using this product.
 



How-to guides

Learn to complete specific tasks with this product.
 



Tutorials

Browse walkthroughs of common uses and scenarios for this product.
 



APIs & references

View APIs, references, and other resources for this product.
 








Release notes  

Read about the latest releases for Compute Engine
 







Use cases
 

Use cases 





Use case 

VM migration  to Compute Engine  

Compute Engine provides tools to help you bring your  existing applications to the cloud. You can have your  applications running on Compute Engine within minutes while  your data migrates transparently in the background. Bring  your existing applications from your physical servers,  VMware vSphere, Amazon EC2, or Azure VMs.
 
Migrate existing applications diagram




Tutorial 
Migrate  for Compute Engine

Validate,  run, and migrate your systems without rewriting your  applications, modifying your images, or changing your  management processes.
 

Learn more  





Tutorial 
SAP  HANA on Compute Engine

Configure  Compute Engine VMs and persistent disks, as well as  the Linux operating system, to achieve the best  performance for your SAP HANA system.
 

Learn more  





Tutorial 
SQL  Server on Compute Engine

Set up  Compute Engine VMs to run your SQL Server workloads.  


Learn more  






Use case 

Genomics data  processing  

Process petabytes of genomic data in seconds with Compute  Engine and our  high performance computing  solution. Our scalable and flexible infrastructure enables  research to continue without disruptions. Competitive  pricing and discounts help you stay within budget to convert  ideas into discoveries, hypotheses into cures, and  inspirations into products.
 
Genomics data processing diagram




Tutorial 
Genomics: Running a GATK best practices pipeline

Run a  pipeline on Google Cloud using the GATK Best Practices  provided by the Broad Institute.
 

Learn more  





Tutorial 
Deploy  an auto-scaling HPC cluster with Slurm

Gain a solid  understanding of the ease of provisioning and  operating an autoscaling Slurm cluster.
 

Learn more  





Tutorial 
Genomics: Running a dsub pipeline

Run a dsub  pipeline on Google Cloud that creates an index (BAI  file) from a large binary file of DNA sequences (BAM  file).
 

Learn more  






Use case 

BYOL or use  license-included images  

You can  run your Windows-based applications  either by bringing your own licenses and running them in  Compute Engine sole-tenant nodes or using a license-included  image. After you migrate to Google Cloud, optimize or  modernize your license usage to achieve your business goals.  Take advantage of the many benefits available to virtual  machine instances such as reliable storage options, the  speed of the Google network, and autoscaling.
 
Sole tenant node host diagram




Tutorial 
Microsoft licensing on Google Cloud

Learn how you  can leverage your existing investment in Microsoft  licensing and bring them to Google Cloud.
 

Learn more  





Best practice 
Microsoft SQL Server 

Learn how to  optimize your usage of Microsoft SQL Server on Google  Cloud.
 

Learn more  





Best practice 
Active  Directory on Google Cloud

Watch this  video from Cloud Next 19 to learn how to leverage  Google Cloud to manage your cloud-based AD-dependent  apps and servers.
 

Learn more  






View all technical guides  




All features
 


All features 




Predefined machine types Compute Engine offers predefined virtual machine configurations for every need from small general purpose instances to large memory-optimized instances with up to 11.5 TB of RAM or fast compute-optimized instances with up to 60 vCPUs.
Custom machine types Create a virtual machine with a custom machine type that best fits your workloads. By tailoring a custom machine type to your specific needs, you can realize significant savings.
Confidential VMs Confidential VMs are a breakthrough technology that allows you to encrypt data in use—while it’s being processed. It is a simple, easy-to-use deployment that doesn't compromise on performance. You can collaborate with anyone, all while preserving the confidentiality of your data.
Preemptible VMs Low-cost, short-term instances designed to run batch jobs and fault-tolerant workloads. Preemptible VMs provide significant savings of up to 80% while still getting the same performance and capabilities as regular VMs.
Live migration for VMs Compute Engine virtual machines can live-migrate between host systems without rebooting, which keeps your applications running even when host systems require maintenance.
Persistent disks Durable, high performance block storage for your VM instances. You can create persistent disks in HDD or SSD formats. You can also take snapshots and create new persistent disks from that snapshot. If a VM instance is terminated, its persistent disk retains data and can be attached to another instance.
Local SSD Compute Engine offers always-encrypted local solid-state drive (SSD) block storage. Local SSDs are physically attached to the server that hosts the virtual machine instance for very high input/output operations per second (IOPS) and very low latency compared to persistent disks.
GPU accelerators

GPUs can be added to accelerate computationally intensive workloads like machine learning, simulation, and virtual workstation applications. Add or remove GPUs to a VM when your workload changes and pay for GPU resources only while you are using them.

Our new A2 VM family is based on the NVIDIA Ampere A100 GPU. You can learn more about the A2 VM family by requesting access to our alpha program.

Global load balancing Global load-balancing technology helps you distribute incoming requests across pools of instances across multiple regions, so you can achieve maximum performance, throughput, and availability at low cost.
Linux and Windows support Run your choice of OS, including Debian, CentOS, 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.
Per-second billing Google bills in second-level increments. You pay only for the compute time that you use.
Commitment savings With committed-use discounts you can save up to 57% with no up-front costs or instance-type lock-in.
Sustained-use savings Sustained-use discounts are automatic discounts for running Compute Engine resources for a significant portion of the billing month.
Container support Run, manage, and orchestrate Docker containers on Compute Engine VMs with Google Kubernetes Engine.
Reservations Create reservations for VM instances in a specific zone. Use reservations to ensure that your project has resources for future increases in demand. When you no longer need a reservation, delete the reservation to stop incurring charges for it.
Right-sizing recommenda­tions Compute Engine provides machine type recommendations to help you optimize the resource utilization of your virtual machine (VM) instances. Use these recommendations to resize your instance’s machine type to more efficiently use the instance’s resources.
OS patch management With OS patch management, you can apply OS patches across a set of VMs, receive patch compliance data across your environments, and automate installation of OS patches across VMs - all from a centralized location. 
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. 







Pricing
 


Pricing 




Pricing for Compute Engine is based on per-second usage of  the machine types, persistent disks, and other resources  that you select for your virtual machines. You can try  Compute Engine  at no charge.  


View pricing details  






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