Intel Ethernet Network Adapter E810-2CQDA2

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Key Features

Dual-Port QSFP28
PCI Express (PCIe) 4.0 x16
Ethernet Port Configuration Tool (EPCT)
Application Device Queues (ADQ)
Dynamic Device Personalization (DDP)
Supports both RDMA iWARP and RoCEv2

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Performance for Cloud Applications

Delivers the bandwidth and increased application throughput required for demanding cloud workloads including edge services, web servers, database applications, caching servers, and storage targets.

Application Device Queues (ADQ) improves application response time predictability using advanced traffic-steering technology
Dynamic Device Personalization (DDP) enhances packet classification capabilities, to deliver up to 3x throughput improvement² for some cloud workloads
Supports both RDMA iWARP and RoCEv2 for high-speed, low-latency connectivity to storage targets, hybrid cloud and HPC

Optimizations for Communications Workloads

Provides packet classification and sorting optimizations for high-bandwidth network and communications workloads, including mobile core, 5G RAN, and network appliances.

Dynamic Device Personalization (DDP) supports existing and new communications-specific protocols improving packet-processing efficiency up to 3x for some Network Functions Virtualization (NFV) workloads
IEEE 1588 Precision Time Protocol (PTP) v2 enables precise clock synchronization across the 5G RAN deployments
Enhanced Data Plane Development Kit (DPDK) support increases packet-processing speeds

Versatile Port Configurations with EPCT

Using EPCT, each port supports up to 100Gbps and can be programmed to act as different physical adapters. The E810-2CQDA2 supports these configurations:

2x100Gb
2x50Gb
8x25Gb

Application Device Queues (ADQ) for Predictability at Scale

As modern data centers scale, a key challenge is to provide scalable, predictable application-level performance. ADQ technology improves performance scalability and predictability by dedicating queues to key workloads, delivering predictable high performance through dramatically reduced jitter.

Increasing the predictability of application response times by lowering jitter enables more compute servers to be assigned to a task and can allow more users to access the system, providing a better end-user experience. Even applications that are not large scale can benefit from higher consistency, enabling them to meet service-level agreements (SLAs) more easily.

ADQ enables application-specific data steering, signaling, and rate limiting using an optimized application thread to device data path. This ability to dedicate queues and shape network traffic not only increases performance, it reduces latency and improves throughput.

Data Rate Per Port