Xincuan Server | Enterprise Server Hardware Supplier
Massive Storage Density in a Single Node
The xFusion FusionServer 5288 V7 is a 4U dual-socket rack server purpose-built for high-capacity storage workloads. With support for up to 44 front-facing 3.5-inch drive bays plus 4 rear 2.5-inch bays, a single 5288 V7 node can deliver over 1 PB of raw storage – making it the ideal platform for distributed storage clusters, cold data archives, and big data analytics infrastructure.
Key Specifications
| Component | Specification |
|---|---|
| Form Factor | 4U rack server |
| Processor | 1-2x 4th/5th Gen Intel Xeon Scalable (max 385W TDP) |
| Memory | 32 DDR5 DIMM slots, up to 8 TB |
| Drive Bays | Front: 44x 3.5″ SAS/SATA + Rear: 4x 2.5″ SAS/SATA |
| NVMe Support | Up to 4 NVMe SSDs (for caching tiers) |
| PCIe Slots | 10x PCIe 5.0 + 2x OCP 3.0 |
| GPU Support | Multiple GPU accelerator cards supported |
| Power Supply | 1+1 redundant, 900W/1500W/2000W/3000W AC or DC |
| Remote Management | iBMC with Redfish API, SNMP, and smart provisioning |
Ideal Workloads
- Distributed Storage: Ceph, MinIO, and software-defined storage clusters benefit from the 5288 V7’s extreme drive density per rack unit.
- Big Data Analytics: Hadoop HDFS, Splunk, and Elasticsearch deployments where capacity-per-node is the primary scaling factor.
- Cold Data Archives: Long-term retention, compliance storage, and backup repositories where cost-per-terabyte drives purchasing decisions.
- Video Surveillance: High-definition CCTV and video analytics platforms requiring weeks or months of retention per camera.
- Media & Entertainment: Post-production asset libraries, raw footage storage, and content delivery origin servers.
Why Source the 5288 V7 Through Xincuan?
We offer the full range of xFusion FusionServer configurations with factory-direct pricing, 3-year manufacturer warranty, and global shipping. Our engineering team can help design your storage topology – from JBOD expansion to erasure-coded Ceph clusters – and deliver pre-configured nodes ready for rack-and-stack deployment.
