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FusionCube 1000 (Hypervisor) & FusionCube 1000 (Data)

FusionCube 1000 (Hypervisor) & FusionCube 1000 (Data) are data storage infrastructure based on converged architecture. They pre-integrate a distributed storage engine, virtualization software, and cloud management software to support on-demand resource allocation and linear expansion.

Mainly used in hybrid workload scenarios — such as databases, Virtual Desktop Infrastructure (VDI), containers, and virtualization — this is a simplified, efficient, and reliable Hyper-Converged Infrastructure (HCI) choice for enterprises.

Application Scenarios

  • fusioncube for cloud scenarios pc 0623

    DataBase Cube

    FusionCube Database Cube helps enterprises quickly build a database system, improving resource utilization and simplifying O&M.

  • Virtualization

    FusionCube integrates compute, storage, and network resources, supporting unified management, fast rollout, and linear expansion.

  • VDI Appliance

    Applicable to VDI scenarios, Huawei FusionCube simplifies deployment and management, while reducing Total Cost of Ownership (TCO).

Listen to Our Customers

  • 0101

    China's Everbright Bank Builds Hyper-Converged 2-Level Resource Pools with FusionCube

    Everbright Bank greatly simplified their extensive IT infrastructure by adopting Huawei’s hyper-converged architecture branch solution.


FusionCube 1000 (Hypervisor) & FusionCube 1000 (Data)
Network 10 GE/100 GE
Storage Architecture Distributed storage
Storage Reliability Copy and EC
Storage Efficiency Deduplication and compression
Data Reliability Active-active and backup
Storage Medium HDDs and NVMe SSDs
Managed Software FusionCube Center
Virtualization Platform Kunpeng: FusionSphere 8.0 or later
Others: FusionSphere 6.5.1 or later, VMware 6.7U3 & VMware 7.0
Server Rack servers
Power Consumption Up to 12,000 W per cabinet (up to 1200 W per node)

Key Software Features

FusionCube Center • VM management: VM creation, template management, and migration
• Storage management: disk and storage pool management
• Monitoring alarms: status, alarm, and performance monitoring
• Performance monitoring: IOPS, I/O bandwidth, I/O latency, CPU utilization, memory utilization, and NIC rate
• Log auditing: security, operation, and system log auditing
• System O&M: one-click upgrade, capacity expansion, and log collection
•Health check: system sub-health check, scheduled inspection

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