| Management number | 241243421 | Release Date | 2026/07/17 | List Price | $164.10 | Model Number | 241243421 | ||
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The Intel E810CQDA2BLK is a high-performance PCIe 4.0 x16 network adapter designed to equip servers with two QSFP28 ports, each supporting 100 Gb Ethernet. It delivers the bandwidth and low latency required for demanding environments such as data centers, cloud platforms, AI clusters, and storage networks. With advanced features like RDMA support and precise timing capabilities, this adapter ensures efficient data transfer and network responsiveness for large-scale, high-throughput applications.
This adapter integrates seamlessly into server environments requiring high-speed Ethernet connections. The dual QSFP28 ports support 100 Gb Ethernet links, making it suitable for connecting to modern switches and network fabrics. Its PCIe 4.0 x16 interface ensures that the adapter can handle the full throughput without limiting performance. The card’s support for RDMA protocols and IEEE 1588 PTP v2 makes it compatible with applications that demand low latency and precise timing, such as distributed machine learning and real-time analytics.
Designed to handle large volumes of data with minimal delay, this network adapter excels in environments where consistent and fast data exchange is critical. Features like Application Device Queues and Dynamic Device Personalization help maintain stable performance under varying workloads. The enhanced DPDK support further increases packet processing efficiency, making it a reliable choice for custom networking applications. Its robust design and flexible port configuration options ensure it adapts well to changing network demands.
The Intel E810CQDA2BLK is well suited to enterprises building hybrid cloud infrastructures, telecom operators deploying edge services, and research facilities managing clustered storage or AI workloads. It fits naturally into data centers where high throughput and low latency are essential, supporting tasks such as storage replication, real-time analytics, and distributed machine learning. Its combination of speed, flexibility, and advanced features makes it a strong choice for IT professionals seeking to optimize network performance in demanding settings.
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