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Network Card NVIDIA Mellanox ConnectX-6 VPI PCI Express Ethernet/Fiber 10000 Mbit/s
The Mellanox ConnectX-6 VPI (MCX653105A-HDAT-SP) is a single-port, PCIe 4.0 x16 adapter card with a tall bracket that supports HDR InfiniBand and 200GbE over a QSFP56 port. Designed for data center and high-performance environments, the card delivers low-latency connectivity and high throughput for compute, storage and networking workloads. It supports a wide range of InfiniBand and Ethernet link speeds and integrates protocol flexibility through VPI (Virtual Protocol Interconnect).
The adapter provides dual-protocol support for both InfiniBand and Ethernet, offering high bandwidth up to 200Gb/s and sub-600ns latency. It includes advanced offload and in-network computing features to reduce CPU overhead and accelerate messaging performance, enabling millions of messages per second. The PCIe 4.0 x16 host interface and industry-standard QSFP56 physical port ensure compatibility with modern servers and network fabrics.
This single-port QSFP56 adapter is not ideal for systems that require multiple separate physical ports without using switches or breakout cables. It may be excessive for small office or home networks where 10GbE or lower-speed Ethernet is sufficient and the advanced offloads or InfiniBand features are unnecessary.
Install the card into an available PCIe 4.0 x16 slot on a compatible server motherboard and secure the tall bracket. Connect the network using a QSFP56-compatible cable or transceiver to the fabric or switch that supports the chosen protocol (InfiniBand or Ethernet). Configure the host operating system and drivers provided by the vendor to enable VPI mode and any required offloads or firmware features. Validate link speed and fabric membership through standard network management tools.
For best results in high-performance environments, pair the ConnectX-6 VPI card with matching HDR or 200GbE switches and certified QSFP56 optics, enable vendor drivers and offload features, and monitor link and latency metrics to optimize application throughput and CPU utilization.
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