Common use cases
Compute Engine VMs can run a variety of workloads and are flexible enough to handle your existing applications with minimal changes. Bring your existing systems to Compute Engine to gain the flexibility and reduced costs of running in the cloud.
Move your existing systems 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.
High performance computing
High performance computing is all about scale and speed. And when you're backed by Google Cloud’s state-of-the-art infrastructure, you can accelerate the time to complete your most complex HPC jobs. Competitive pricing and discounts help you stay within budget to convert ideas into discoveries, hypotheses into cures, and inspirations into products.
Genomics data processing
Process petabytes of genomic data in seconds with Compute Engine and our big data tools. Our scalable infrastructure enables research to continue without disruptions or delays.
Windows Workloads on Google Cloud
Google Cloud offers everything you need to run, optimize, and modernize your Windows applications and workloads with full license compliance. From managed SQL Server and Active Directory to optimized virtual machine images and Windows Containers, Google Cloud provides the capabilities you need to run Windows in the cloud. Develop your apps and manage your operations with the tools your teams use today. Migrate some workloads, optimize license usage, or modernize others. Google can help you solve your biggest Windows challenges.
Bring your own license or use license-included images
You can run your Windows-based applications on Google Cloud either by bringing your own licenses and running them in Compute Engine sole-tenant nodes or use an optimized license-included image. After you migrate to Google Cloud, optimize or modernize your license usage to achieve your business goals. Take advantage of Google Kubernetes Engine for Windows and the many benefits available to virtual machine instances such as reliable storage options, the speed of the Google network, and autoscaling.
|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.|
|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 virtual machine instances. Data is stored redundantly for integrity, flexibility to resize storage without interruption, and automatic encryption. You can create persistent disks in HDD or SSD formats. You can also take snapshots of your persistent disk 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, medical analysis, 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.|
|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.|
|Container support||Run, manage, and orchestrate Docker containers on Compute Engine VMs with Google Kubernetes Engine.|
|Sustained-use savings||Sustained-use discounts are automatic discounts for running Compute Engine resources for a significant portion of the billing month.|
|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.|