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SKU:E8102CQDA2G1P5
The Intel Ethernet Network Adapter E810-2CQDA2 is designed to meet the high-performance demands of modern data centers, cloud environments, and enterprise networks. Equipped with dual QSFP28 ports, this adapter supports up to 100Gbps per port, delivering a total bandwidth of up to 200Gbps when installed in PCIe 4.0 x16 systems. Its advanced architecture allows seamless data transfer and robust network connectivity, making it an ideal choice for demanding workloads such as web hosting, storage solutions, and high-speed computing. The adapter's support for optical fiber cables facilitates long-distance data transmission, ensuring reliable communication across extensive network infrastructures. Features like Application Device Queues (ADQ) enable predictable application performance by dedicating queues to critical workloads, while Dynamic Device Personalization (DDP) enhances packet classification, potentially tripling throughput for certain cloud and network functions. The adapter also supports RDMA protocols like iWARP and RoCEv2, offering low-latency, high-throughput connectivity to storage targets, hybrid cloud environments, and high-performance computing clusters. Optimizations for network workloads include IEEE 1588 Precision Time Protocol v2 for accurate clock synchronization in 5G RAN deployments and enhanced DPDK support to accelerate packet processing speeds. The PCIe 4.0 x16 interface ensures smooth data flow, and the dual-port design allows installation within a single expansion slot, conserving space in server racks and workstations. This product is suitable for network engineers and IT professionals seeking reliable, scalable, and high-speed Ethernet connectivity for enterprise and cloud applications. The Intel E810-2CQDA2 is compatible with a variety of network configurations, offering a versatile solution to meet the evolving needs of high-performance networking environments. Its robust feature set and advanced technologies ensure that organizations can achieve improved application throughput, network efficiency, and workload predictability in demanding operational settings.
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