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Google Compute Engine

High-Performance Virtual Machines

Create ultra-fast virtual machines (VMs) in Google's data centers. More speed, scalability, and best value for modern businesses.

Virtual Machines Global Network Up to 91% savings
Google Compute Engine virtual machines
Compute Engine custom configuration
Compute Engine

Flexible Infrastructure and Custom Machine Types

You're not limited to standard templates. Choose the exact vCPU and RAM combination your application needs and pay only for the resources you actually consume.

Compute Engine global network
Compute Engine

Maximum Performance and Global Network

Get access to Google's premium fiber-optic network offering record-low latency to any point in the world. The ideal environment for servers and databases in Georgia.

Compute Engine SSD disks and backups
Compute Engine

Instant Disks and Backups

Attach the fastest SSD disks without extra complexity. Configure automatic backups and snapshots without any disk capacity limitations.

Compute Engine pricing and optimization
Compute Engine

Automatic Optimization and Pricing

Enjoy Sustained Use Discounts and Spot VMs to reduce resource costs by up to 91%. Google itself provides recommendations for better server utilization.

Frequently Asked Questions about Compute Engine

Have questions? Our team is ready to consult.

Google Compute Engine security starts directly from chips (Titan Security Chips). All virtual machine data is encrypted by default.

Yes, with the Migrate to Virtual Machines service, you can easily migrate existing servers from on-premises or other cloud providers for free.

These are Google's unused compute capacity sold at very large discounts. They're best for background jobs and batch processes where unexpected interruptions are not critical.

As an official partner, Geosoft Cloud allows you to pay Compute Engine invoices in Georgian Lari with official documentation, greatly simplifying accounting.

Ready to Move to Compute Engine?

The Geosoft Cloud team helps you configure virtual machines, migrate workloads, and optimize costs.