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HP LPe1605 16Gb Dual Port Fibre Channel Mezzanine HBA 718201-001 718203-B21 For Sale
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HPE ProLiant BL-Series Blade Server 16Gbps FC Storage Interface Card HPE Option P/N: 718203-B21 | HPE Spare P/N: 718201-001 | Model: LPe1605 The HPE 718201-001 (718203-B21) is an enterprise-class, dual-port 16Gb Fibre Channel (FC) Host Bus Adapter (HBA) designed in a specialized mezzanine form factor for HPE ProLiant Gen8 and Gen9 blade servers. Engineered by Emulex, this high-performance adapter connects blade computing nodes directly to enterprise SAN (Storage Area Network) infrastructures. By delivering up to 16Gbps of bi-directional throughput per port, it drastically reduces data bottlenecks, satisfies intensive I/O storage demands, and provides robust multi-path redundancy for virtualized data centers. ๐ Technical Specifications Data Rate: ๐๏ธ 16 Gbps Fibre Channel (Backward compatible with 8Gb and 4Gb FC links) Ports: ๐ 2x Ports (Dual-Port) Interface Form Factor: ๐ Type A Mezzanine Card (Dedicated Blade Server Slot) Silicon Architecture: ๐ง Emulex Engine Technology Topology Support: ๐ง Point-to-Point, Arbitrated Loop, Switched Fabric Performance Overhead: ๐ก๏ธ Over 1.2 Million IOPS capability (Combined Ports) Server Compatibility: โ๏ธ HPE ProLiant Gen8 / Gen9 BL Blade Server Nodes (Mezzanine Slots)
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Product Overview Emulex Virtualization Enhancements: Features full support for N_Port ID Virtualization (NPIV) and hardware-based isolation. This enables administrators to allocate independent, secure virtual world-wide names (WWNs) directly to separate virtual machines running on the host blade. Dedicated Mezzanine Layout: Built inside a dedicated, low-profile Type A mezzanine envelope. This footprint locks securely into the server bladeโs interior chassis layer, allowing high-speed SAN signals to route directly through the backplane without consuming standard external expansion lanes. Enterprise Multitasking Efficiency: Offloads complex storage-layer command stacks entirely from the serverโs primary CPU cores. The card handles physical data frame processing natively, ensuring maximum clock cycles remain open for core virtual workloads.
๐ฆ Compatibility & Use Case
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