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    Jointly developed with Amazon EKS.

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    Jointly developed with DigitalOcean Kubernetes

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VM Management platform

KubeSphere Virtualization (KSV) is a lightweight VM management platform derived from KubeSphere. KSV supports single-node deployment and multi-node deployment and is easy to use, meeting enterprise-grade virtualization requirements.

VM Platform Architecture

Uses a cloud-native and loosely coupled architecture that separates the frontend and backend; supports single-node deployment that requires only 4 CPU cores and 8 GB memory as well as multi-node deployment; independent of the infrastructure and compatible with physical and virtual machines that support virtualization; supports running on both x86 and ARM64 architectures.

Virtual Machine Management Features

As an enterprise-grade virtualization platform, KSV provides an easy-to-use web console, helping users quickly achieve enterprise hardware resource virtualization.

  • Node Management

    Node Management

    Quickly obtain summary information about cluster nodes and status of each node.

  • IP Pool Management

    IP Pool Management

    Create and delete IP pools for VM network and IP address management.

  • VM Management

    VM Management

    Create and delete VMs, use VM snapshots, and remotely log in to VMs.

  • Image Management

    Image Management

    Manage system images used for VM creation.

  • Disk Management

    Disk Management

    Manage VM disks, use disk snapshots, and expand disk capacity.

  • Project Management

    Project Management

    Separate resources into projects and control user permissions based on user roles.

VM Platform Usage Scenarios

Lightweight, flexible, and easy to deliver – based on the Kubernetes cloud-native framework, KSV can be easily integrated with various external software and hardware systems into enterprise-grade solutions.

  • Lightweight Development

    Lightweight Development

    Individual users can set up virtualization environments on PCs for new technology learning, application development, software testing, and bug simulation.

  • Cross-VM Development

    Cross-VM Development

    Use multiple VMs to simulate a network environment for testing; use VMs with different OSs to perform cross-platform development to fully utilize physical resources, improve efficiency, reduce costs, and simplify management.

  • Edge Computing and Big Data AI

    Edge Computing and Big Data AI

    Deploy KSV on a single node or multiple nodes based on the x86 or ARM64 architecture; integrate KSV with IoT devices and use AI algorithms and applications to achieve local data processing and ultra-low delay.