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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.
With everything integrated before delivery, deployment can be completed within 30 minutes. Unified management of hardware, software, and resources, alongside one-key Operations and Maintenance (O&M), increases overall efficiency by 100%.
Deduplication and compression functions are supported, with a compression ratio of 3:1. With 22 effective storage disks plus two Error Correction (EC) parity disks used, effective storage capacity stands at approximately 90%.
The performance of a single node exceeds 100,000 Input/Output Operations Per Second (IOPS), with 1 TB of data reconstruction taking only 15 minutes — a figure that leads the industry.
This active-active solution enjoys zero service interruptions. Asynchronous replication slashes the Recovery Point Objective (RPO) duration to less than five minutes. To ensure compatibility, mainstream industry backup software is supported.
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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