PCIe 5.0 x16 to 4-port U.2 SFF-8639 Adapter

The PCIe 5.0 x16 to 4-port U.2 SFF-8639 Adapter is a high-performance storage expansion card designed for enterprise storage systems and data centers requiring high-density NVMe storage. This advanced adapter converts a single PCIe 5.0 x16 slot into four independent U.2 SFF-8639 interfaces, enabling the connection of multiple enterprise NVMe SSDs with full PCIe 5.0 bandwidth. Engineered for maximum storage density and performance, this solution supports the latest NVMe technology while providing robust thermal management and enterprise-grade reliability. Ideal for database servers, virtualization hosts, and high-performance computing applications demanding massive storage bandwidth and capacity.

Features

• Quad U.2 SFF-8639 Interfaces: Four independent U.2 ports supporting enterprise NVMe SSDs
• PCIe 5.0 x16 Bandwidth: Full x16 lane utilization at 32 GT/s data rates
• High-Density Storage: Supports up to four 2.5-inch U.2 NVMe SSDs
• Hot-Plug Capable: Individual port hot-plug support for maintenance and upgrades
• Advanced Thermal Management: Optimized airflow design with dedicated cooling zones
• Enterprise Reliability: Designed for 24/7 operation in data center environments
• Flexible Configuration: Supports mixed capacity and performance SSD populations

Specifications

• Product Model: PCIe 5.0 x16 to 4-port U.2 SFF-8639 Adapter
• Host Interface: PCIe 5.0 x16
• Target Interfaces: 4x U.2 SFF-8639
• Supported Drives: 2.5-inch U.2 NVMe SSDs (7mm, 9.5mm, 15mm height)
• Data Transfer Rate: Up to 32 GT/s per lane (approximately 2 TB/s total theoretical bandwidth)
• Lane Configuration: x4 per U.2 port
• Supported Protocols: NVMe 2.0, PCI Express 5.0
• Hot-Plug Support: Individual port hot-plug capability
• Operating Temperature: 0°C to +70°C
• Power Delivery: 75W through PCIe slot with additional SATA power connector
• Form Factor: Full-height, full-length PCIe card

Applications

• Enterprise Storage Systems: High-density NVMe storage expansion in data centers
• Database Servers: High-performance database applications requiring massive I/O capability
• Virtualization Hosts: Storage for virtualized environments and cloud infrastructure
• AI/ML Workloads: Storage for artificial intelligence and machine learning training
• Big Data Analytics: Large-scale data processing and analytics applications
• Video Production: High-bandwidth storage for 8K video editing and processing
• High-Performance Computing: Scientific computing and research applications
• OEM Solutions: Custom storage configurations for system integrators and server manufacturers