Highest Density. Maximum Performance. Lowest Cost
Parallels Virtuozzo Containers is an operating system virtualization solution that maximizes your investment in server hardware. Parallels Virtuozzo Containers is uniquely suited to Cloud server virtualization, enabling near instant provisioning and on-the-fly modification of hosting and Cloud server plans while delivering maximum density, cost efficiency and application performance.
Increase profit: Run 300% more VPS subscriptions on every server
Parallels Virtuozzo Containers delivers three times more virtual servers than hypervisor solutions providing greater utilization of existing infrastructure.
Optimize costs: Reduce server maintenance cost by 75%
Centralized management enables fast operating system (OS) updates and upgrades. Make changes once and quickly replicate to an entire datacenter.
Maximize performance: Increase application performance by 50%
Parallels Virtuozzo Containers enables near-native server performance, delivering maximum application performance and scalability for a given virtual CPU configuration.
Enable customers to add new services quickly
Rapid provisioning means new Servers can be available within minutes of ordering, and servers are "instant on" when provisioned with no OS boot up time. Customer self-service panels enable existing OS containers to be scaled on the fly with real-time adjustments to CPU, memory and disk space allocations.
Drive profit with the most complete and automated Cloud services enablement solutions
With Parallels Virtuozzo Containers service providers can deploy a super-efficient Cloud hosting infrastructure and offer a wide range of hosting and Cloud services that appeal to the broadest possible customer base. Parallels Virtuozzo Containers is optimized to work with all Parallels hosting and Cloud enablement solutions including Parallels Plesk Panel, Parallels Automation and Parallels Business Automation Standard. Learn More
Learn More About OS Virtualization
Download the Parallels Virtuozzo Containers Datasheet
