Virtuozzo Targets AI Infrastructure Costs With New Platform

As companies race to build AI services without drowning in infrastructure costs, Virtuozzo says it wants to make the process leaner, faster, and far less complicated.

The infrastructure software company on Monday unveiled its new vision for AI infrastructure, introducing what it calls a fully integrated system designed to help businesses run AI workloads more efficiently while reducing operational overhead.

According to the company, the new Virtuozzo Infrastructure System combines compute, storage, networking, orchestration, automation, and cybersecurity tools into a single architecture designed to support AI deployments at any scale.

Virtuozzo bets on integrated AI infrastructure

Virtuozzo described the platform as “built with AI, by AI, and for AI,” positioning it as a hyperconverged infrastructure stack tailored for modern AI workloads.

The company said the system includes a next-generation operating system alongside orchestration and automation tools intended to simplify deployment and management for enterprises, cloud providers and AI service operators.

“AI is pivotal to how we develop our product today, how it operates and how our users benefit from it,” said Kurt Daniel, CEO at Virtuozzo.

“Our Infrastructure System is co-designed to ensure maximum performance and efficiency from modern hardware, helping our customers and partners run and monetize AI with better utilization, lower overhead and 60-80% less total cost of ownership (TCO) with a typical hosting setup versus competitive offerings,” he added.

Five core components form the new platform

Virtuozzo said the infrastructure system is built around five integrated layers.

The first is V/OS, a Linux-based operating system designed to support both virtual machines and system containers while delivering, the company says, near bare-metal performance. 

Another key layer is V/Orchestration, which unifies compute, storage, networking, and Kubernetes environments to help organizations deploy and scale AI workloads more easily.

The system also includes:

• V/Management for centralized infrastructure oversight 
• V/Automation for provisioning and billing
• V/Protection for backup, disaster recovery, and cybersecurity functions 

The company said the integrated design is meant to reduce the fragmented tooling that often comes with AI infrastructure deployments.

Watch: SotaTek US CEO MK Tong shared his perspective on the AI infrastructure deployment mistakes he sees in the market today.

AI services and GPU monetization in focus

Virtuozzo is also positioning the platform as a way for service providers to quickly launch AI-as-a-Service and GPU-as-a-Service offerings.

The company said the infrastructure supports both AI training and inference workloads, while integrated metering and billing tools are intended to help providers monetize GPU resources faster. 

GPU metering and management capabilities were recently added to Virtuozzo’s admin panel as part of its latest product release, according to the company.

Virtuozzo also tied its infrastructure push to rising virtualization and hardware costs across the industry. 

The company said that improving GPU utilization and infrastructure efficiency could help organizations address rising VMware pricing following Broadcom’s acquisition of VMware.