E810CQDA2 Intel 2-Ports QSFP28 100Gbps PCI-E Low Profile Network Adapter

Intel E810CQDA2 100Gb Dual-Port Ethernet Adapter Overview

The Intel E810CQDA2 is a high-performance 100 Gigabit Ethernet network adapter designed for modern data centers, enterprise servers, and cloud infrastructure environments. Built on advanced PCI Express 4.0 architecture, this dual-port QSFP28 network interface card delivers ultra-fast throughput, low latency, and scalable connectivity for demanding workloads.

General Information of Intel E810CQDA2 

• Manufacturer: Intel
• Model / Part Number: E810CQDA2
• Product Type: High-speed Network Adapter / Ethernet Controller Card
• Interface: PCI Express 4.0 x16 (backward compatible with PCIe 3.0)
• Ports: Dual QSFP28 connectors
• Speed Support: Up to 100GbE

Advanced Technical Specifications

Form Factor and Physical Design

• Form Factor: Plug-in card (Low-profile design)
• Bracket Type: Full-height bracket included
• Dimensions: 6.6 in x 2.7 in

Interface and Bus Architecture

• Bus Type: PCI Express 4.0 x16
• PCI Compatibility: PCIe 3.0 and PCIe 4.0 supported
• Connectivity: Wired high-speed Ethernet

Network Ports and Connectivity

• Ports: 2 x QSFP28
• Supported Cabling: Fiber or DAC (depending on transceiver)
• Topology: Point-to-point, switch-based networking

Supported Data Rates and Protocols

Multi-Speed Ethernet Compatibility

• 100 Gigabit Ethernet (100GbE)
• 50 Gigabit Ethernet (50GbE)
• 25 Gigabit Ethernet (25GbE)
• 10 Gigabit Ethernet (10GbE)
• Gigabit Ethernet (1GbE)

Supported Network Protocols

• GigE
• 10 GigE
• 25 GigE
• 50 GigE
• 100 Gigabit Ethernet

Enterprise-Grade Features

Performance Optimization Technologies

• RDMA (Remote Direct Memory Access) support
• RoCE v2 (RDMA over Converged Ethernet)
• MSI-X (Message Signaled Interrupts Extension)
• DSCP (Differentiated Services Code Point) support

Standards Compliance

• IEEE 802.1p Quality of Service (QoS)

Operating Requirements

• Operating Temperature: 32°F to 131°F (0°C to 55°C)
• Humidity: Up to 90% non-condensing

Use Cases and Applications

Ideal Deployment Scenarios

• Data center networking infrastructure
• Cloud computing platforms
• High-performance computing (HPC)
• Virtualized server environments
• Storage area networks (SAN)

Key Advantages

• Ultra-high-speed 100GbE connectivity
• Low latency and improved packet processing
• Energy-efficient and scalable design
• Broad protocol and OS compatibility

Intel E810CQDA2 100Gb Dual-Port PCI Express Ethernet Adapter

The Intel E810CQDA2 100Gb Dual-Port PCI Express 4.0 x16 Ethernet Network Adapter with Full-Height Bracket represents a high-performance networking category designed for modern data centers, enterprise cloud infrastructure, hyperscale environments, and high-throughput computing workloads. This category encompasses advanced network interface cards engineered to deliver ultra-low latency, extremely high bandwidth, and scalable connectivity options for servers requiring next-generation Ethernet performance. Built around Intel’s advanced Ethernet controller architecture, this class of adapters is optimized for environments where data velocity, reliability, and deterministic throughput are critical.

As networking demands continue to evolve with the rise of artificial intelligence workloads, virtualization density, software-defined infrastructure, and NVMe over Fabrics storage systems, the need for 100GbE-class adapters such as the Intel E810CQDA2 becomes increasingly essential. This category is not limited to simple network connectivity; instead, it provides a foundation for distributed computing, cloud orchestration, and high-performance storage networks that rely on consistent packet processing and hardware acceleration capabilities.

Advanced Architecture and Engineering Design

The architecture of the Intel E810CQDA2 category of network adapters is built around a highly optimized PCI Express 4.0 x16 interface, enabling maximum upstream bandwidth between the host system and the network controller. This high-speed bus interface ensures that the adapter can fully utilize 100Gbps dual-port connectivity without bottlenecks, making it suitable for mission-critical workloads in modern infrastructure environments.

PCI Express 4.0 x16 High-Bandwidth Interface

The PCIe 4.0 x16 interface plays a crucial role in enabling this category of adapters to achieve full line-rate performance across both network ports. Compared to previous generations of PCIe technology, PCIe 4.0 doubles the per-lane throughput, allowing significantly higher aggregate data transfer rates. This ensures that the Intel E810CQDA2 can handle simultaneous bidirectional traffic without congestion, making it ideal for data-intensive environments such as distributed databases, virtualization clusters, and cloud-native applications.

Low-Latency Data Path Optimization

Within this category, low-latency packet processing is achieved through a combination of hardware acceleration engines and optimized firmware design. The adapter minimizes CPU overhead by offloading network processing tasks such as checksum calculation, segmentation, and packet classification. This design significantly improves system efficiency and enables servers to allocate more CPU resources to application-level workloads rather than network stack processing.

Efficient PCIe Lane Utilization

The x16 lane configuration ensures that the adapter can fully saturate available bandwidth when operating under peak traffic conditions. This efficient utilization of PCIe lanes helps eliminate bottlenecks commonly found in lower-lane configurations, ensuring consistent throughput performance even in multi-tenant environments or virtualized deployments where multiple workloads compete for network resources.

Dual-Port 100GbE QSFP28 Connectivity Architecture

The dual-port design of the Intel E810CQDA2 category enables simultaneous operation of two independent 100GbE links, often using QSFP28 transceiver technology. This architecture provides both redundancy and scalability, allowing data center architects to design resilient network topologies with failover capabilities and load balancing mechanisms.

Each port operates independently, enabling flexible deployment scenarios such as link aggregation, network segmentation, or dedicated storage and compute traffic separation. This flexibility is particularly valuable in cloud environments where network isolation and traffic prioritization are essential for maintaining service quality and performance consistency.

High-Speed Optical and Direct Attach Support

Adapters in this category are typically compatible with a wide range of optical transceivers and direct attach copper cables, enabling flexible deployment across short-range and long-range connectivity scenarios. This adaptability allows integration into diverse infrastructure layouts, from densely packed server racks to geographically distributed data centers.

Performance Characteristics of Intel E810CQDA2 Category

Performance is a defining characteristic of the Intel E810CQDA2 100Gb dual-port Ethernet adapter category. These adapters are engineered to handle extreme packet throughput while maintaining low latency and high reliability under sustained load conditions. The architecture is optimized for parallel packet processing, ensuring that both ports can operate at full capacity without degradation in performance.

High Throughput Packet Processing

The adapter is capable of processing massive volumes of network packets per second, making it suitable for workloads such as real-time analytics, high-frequency trading platforms, and large-scale distributed computing systems. The hardware-based packet engine ensures consistent throughput even when dealing with small packet sizes, which are typically more CPU-intensive to process in traditional network interfaces.

Consistent Bandwidth Delivery Under Load

One of the key advantages of this category is its ability to maintain stable bandwidth delivery even under heavy network congestion. This stability is achieved through intelligent traffic management and hardware offloading mechanisms that ensure fair resource allocation across multiple network flows.

Deterministic Latency Performance

Deterministic latency is essential for workloads that require predictable network behavior, such as financial trading systems, real-time communication platforms, and distributed AI training clusters. The Intel E810CQDA2 category is designed to minimize jitter and maintain consistent response times, even under fluctuating traffic conditions.

Data Center Integration and Enterprise Deployment

The Intel E810CQDA2 category is widely adopted in enterprise and hyperscale data centers due to its scalability, reliability, and compatibility with modern server architectures. It integrates seamlessly into rack-mounted servers, blade systems, and modular compute nodes, providing high-speed network connectivity for both east-west and north-south traffic flows.

Role in Modern Data Center Architectures

In modern distributed environments, this category of network adapters plays a critical role in enabling efficient communication between compute nodes, storage systems, and virtualization layers. It supports high-density server deployments where network performance directly impacts application responsiveness and system scalability.

Support for Leaf-Spine Network Topologies

The adapter is particularly well-suited for leaf-spine network architectures, which are commonly used in hyperscale data centers. These architectures require high-bandwidth, low-latency connections between multiple switching layers, and the 100GbE capability of this category ensures seamless traffic flow across the entire infrastructure.

Redundancy and Fault Tolerance Integration

Dual-port functionality enhances redundancy in enterprise deployments by allowing automatic failover in case of link failure. This ensures uninterrupted network connectivity and minimizes downtime in mission-critical applications.

Virtualization and Software-Defined Networking Support

The Intel E810CQDA2 category is optimized for virtualization environments, including hypervisors, containerized workloads, and software-defined networking platforms. It provides hardware acceleration features that significantly improve virtual machine networking performance and reduce CPU overhead.

Virtual Machine I/O Acceleration

Through advanced virtualization technologies, the adapter enables efficient virtual machine network I/O processing. This allows multiple virtual machines to share physical network resources while maintaining isolated and secure traffic channels.

SR-IOV and Hardware Partitioning Capabilities

Single Root I/O Virtualization support allows the network adapter to be partitioned into multiple virtual functions, each assigned to different virtual machines or containers. This ensures predictable performance and enhanced security in multi-tenant environments.

Efficient Resource Isolation

Resource isolation ensures that one virtual machine cannot negatively impact the performance of another, making this category ideal for cloud service providers and enterprise virtualization platforms.

RDMA and Low-Latency Networking Capabilities

Remote Direct Memory Access (RDMA) support is a key feature within this category, enabling high-speed data transfer between systems without involving the CPU. This significantly reduces latency and improves overall system efficiency.

RoCE Implementation for High-Speed Data Transfer

RDMA over Converged Ethernet (RoCE) allows applications to bypass traditional networking stacks, resulting in ultra-low latency communication between nodes. This is particularly important for high-performance computing clusters and distributed storage systems.

Reduced CPU Overhead in Data Transfers

By eliminating CPU involvement in data movement operations, RDMA-enabled adapters free up processing resources for application workloads. This improves overall system performance and scalability in compute-intensive environments.

Cloud Computing and Hyperscale Infrastructure Applications

The Intel E810CQDA2 category is widely used in cloud computing environments where elasticity, scalability, and high throughput are essential. Cloud providers rely on these adapters to support massive multi-tenant infrastructures with dynamic workload distribution.

Support for Elastic Workload Scaling

Cloud environments require the ability to scale workloads dynamically based on demand. High-speed network adapters ensure that compute and storage resources can communicate efficiently as workloads grow or shrink in real time.

Multi-Tenant Network Isolation

Network isolation ensures that different tenants within a cloud environment remain secure and performance-isolated. This is essential for maintaining service level agreements and ensuring consistent user experience.

Storage Networking and NVMe over Fabrics Integration

This category of network adapters plays a crucial role in modern storage networking, particularly in NVMe over Fabrics deployments where storage performance is directly dependent on network efficiency.

High-Speed Storage Access Optimization

By leveraging 100GbE connectivity, storage systems can achieve extremely high throughput and low latency access to distributed storage resources. This improves database performance, analytics processing, and large-scale data ingestion workflows.

Distributed Storage Architecture Support

Distributed storage systems benefit from the adapter’s ability to handle large-scale parallel data transfers, ensuring consistent performance across multiple storage nodes.

Thermal Design, Power Efficiency, and Physical Form Factor

The Intel E810CQDA2 category includes advanced thermal management and power optimization features designed for high-density server environments. Efficient heat dissipation ensures stable operation even under sustained heavy workloads.

Full-Height Bracket Mechanical Design

The full-height bracket design ensures compatibility with standard enterprise server chassis configurations, providing secure installation and optimal airflow management within server racks.

Energy Efficient Operation Under Load

Despite its high-performance capabilities, the adapter is engineered for efficient power consumption, balancing performance and energy efficiency in large-scale deployments.

Security and Network Integrity Features

Security is an integral part of this category, with hardware-based features designed to protect data integrity and prevent unauthorized access or tampering within network traffic flows.

Hardware-Assisted Packet Filtering

Packet filtering capabilities help enforce security policies at the hardware level, reducing reliance on software-based filtering mechanisms and improving performance.

Secure Boot and Firmware Protection

Firmware integrity mechanisms ensure that the adapter operates only with trusted and verified firmware, reducing the risk of malicious modifications.

Driver Ecosystem and Management Tools

The Intel E810CQDA2 category is supported by a comprehensive driver ecosystem that enables compatibility with major operating systems and virtualization platforms. Management tools provide administrators with visibility into network performance and configuration options.

Cross-Platform Driver Compatibility

Support for multiple operating systems ensures that the adapter can be deployed in heterogeneous environments without compatibility concerns.

Advanced Network Monitoring Capabilities

Monitoring tools provide detailed insights into traffic patterns, error rates, and performance metrics, enabling proactive network management and troubleshooting.

Scalability and Future-Ready Networking Infrastructure

This category is designed with scalability in mind, ensuring compatibility with future network standards and evolving data center requirements. Its architecture supports incremental upgrades and seamless integration into expanding infrastructure ecosystems.

Support for Next-Generation Workloads

Emerging workloads such as artificial intelligence training, machine learning inference, and real-time data analytics require high-bandwidth, low-latency networking, all of which are supported by this category of adapters.

Long-Term Infrastructure Investment Value

Organizations adopting this category benefit from long-term infrastructure stability, reducing the need for frequent hardware upgrades while maintaining high-performance networking capabilities.

Accelerated Distributed Training Environments

In AI training clusters, the adapter enables fast gradient synchronization and model parameter exchange between nodes, reducing training time and improving computational efficiency.

Efficient Cluster Communication Fabric

Cluster communication efficiency is critical in HPC environments, and this category ensures that inter-node communication does not become a bottleneck in large-scale computations.