AI TOOL PROFILE
Virtuozzo Cloud Infrastructure Platform
- Software Development
- Cloud Infrastructure
- Cloud Service Providers
- Managed Service Providers (MSPs)
- SaaS Companies
- IT Teams managing private clouds
Pricing
Virtuozzo uses usage-based pricing, including pay-as-you-go and instance-based models. A 14-day free trial is typically available for application management via certain providers.
At a glance
- Best for
- Cloud Service Providers, Managed Service Providers (MSPs), SaaS Companies, IT Teams managing private clouds
- Key use cases
- IaaS Service Delivery, SaaS Application Hosting, Multi-Cloud Orchestration, AI/ML Infrastructure
- Integrations
- GIT, SVN, Maven, Jenkins, Ant
- Official website
- Visit virtuozzo official website
How AI is used
Virtuozzo is a cloud operating system designed for organizations that want to operate their own infrastructure. It combines compute, networking, and storage into a multi-tenant platform that supports virtual machines and containers.
The software is designed for cloud service providers, managed service providers (MSPs), and SaaS companies. It provides tools to deliver Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) under their own branding.
Beyond virtualization, the platform includes software-defined storage and an application management layer that supports scaling and deployment across different cloud environments. It also includes GPU acceleration for AI/ML workloads.
Buyers should confirm if the pay-as-you-go or instance-based pricing models align with their projected resource consumption.
Key Features
High-Density Virtualization
Supports virtual machines and containers to manage resource utilization on physical servers.
Software-Defined Storage
Provides block, file, and S3-compatible object storage services.
Elastic PaaS
Supports application deployment, scaling, and lifecycle management with DevOps and CI/CD integrations.
Multi-Cloud Management
Supports the deployment and migration of applications across private and public cloud environments via a unified portal.
Kubernetes Integration
Supports the automated provisioning and management of Kubernetes clusters.
GPU Acceleration
Is designed to support the performance requirements of AI and machine learning workloads.
Use Cases
IaaS Service Delivery
Helping MSPs deliver multi-tenant cloud infrastructure to their own customers.
SaaS Application Hosting
Deploying and scaling cloud-native or legacy applications using an elastic PaaS environment.
Multi-Cloud Orchestration
Managing workloads across multiple different cloud providers to reduce vendor lock-in.
AI/ML Infrastructure
Using GPU acceleration to run machine learning workloads.
Integrations
- GIT
- SVN
- Maven
- Jenkins
- Ant
- Eclipse
- NetBeans
- IntelliJ IDEA
- WHMCS
- Cleverbridge
- OSA
FAQ
Who is Virtuozzo designed for?
- It is primarily designed for cloud service providers, managed service providers (MSPs), and SaaS companies that want to run their own cloud infrastructure.
Does Virtuozzo support containerization?
- Yes, the platform supports Docker containers and provides automated provisioning and scaling for Kubernetes clusters.
What is the pricing model for Virtuozzo?
- It uses a usage-based model with pay-as-you-go and instance-based pricing options.
Can Virtuozzo be used for AI workloads?
- Yes, Virtuozzo supports AI/ML workloads through GPU acceleration.
Source category: Software Development
Source subcategory: Cloud Infrastructure
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