E810XXVDA4G1P5 Intel Quad Port Adapter PCI-E 4.0X16 25 GBE SFP 28 x 2 Ethernet Network Adapter
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Intel E810XXVDA4G1P5 4-Port PCIe 25GbE Adapter Overview
The Intel E810XXVDA4G1P5 is a high-performance server-class network interface card designed for modern data centers, enterprise networking, virtualization environments, and cloud infrastructure workloads. Built by
Featuring a dual-port SFP28 interface supporting up to 25 Gigabit Ethernet speeds, this adapter is optimized for scalability, efficiency, and next-generation networking architectures. It is engineered to handle intensive data traffic while ensuring consistent performance across virtualized and software-defined environments.
General Product Information
- Manufacturer: Intel
- Part Number: E810XXVDA4G1P5
- Product Type: Network Interface Adapter (NIC)
- Form Factor: Full-height plug-in expansion card
Key Product Highlights
High-Speed Multi-Gigabit Connectivity
- Dual-port 25GbE SFP28 interfaces
- Backward compatibility with 10GbE and 1GbE networks
- Optimized for high-throughput data transfer
- Ideal for cloud computing and virtualization workloads
Advanced PCI Express 4.0 Interface
- PCI Express 4.0 x16 interface for maximum bandwidth
- Compatible with PCIe 3.0 systems for flexible deployment
- Full-height plug-in card design for enterprise servers
Technical Specification
Ethernet Port Configuration
- 2 × SFP28 ports supporting 25GbE
- Compatible with 10GbE and 1GbE transceivers
- Wired connectivity for stable and secure data transfer
Supported Data Link Protocols
- Gigabit Ethernet (1GbE)
- 10 Gigabit Ethernet (10GbE)
- 25 Gigabit Ethernet (25GbE)
Network Transport Protocol Support
- iSCSI for storage networking
- iWARP for RDMA over Ethernet
- NFS for distributed file systems
Advanced Networking Features
RDMA and Low-Latency Optimization
- RDMA over Converged Ethernet (RoCE v2)
- iWARP RDMA support
- Minimized CPU utilization for high-efficiency networking
Virtualization and Cloud Optimization
- Single Root I/O Virtualization (SR-IOV)
- Virtual Machine Device Queues (VMDq)
- Flexible Port Partitioning (FPP)
- Optimized for hypervisors and cloud platforms
Intelligent Traffic Management
- On-chip Quality of Service (QoS)
- Advanced traffic steering and load balancing
- Intelligent offloading for reduced CPU load
- Data Direct I/O (DDIO) acceleration
Performance Advantages
Enterprise-Grade Throughput
- High packet-per-second performance
- Reduced latency under heavy workloads
- Scalable architecture for growing data demands
Reliability and Stability
- Carrier-grade reliability
- Error reduction and packet optimization
- Continuous uptime for enterprise systems
Ideal Use Cases
Data Centers and Cloud Infrastructure
- High-density virtualization platforms
- Cloud service providers and hyperscale environments
- Server clustering and distributed computing
Enterprise Networking
- Corporate IT infrastructure upgrades
- Secure high-speed internal networking
- Storage networking and backup systems
High-Performance Computing (HPC)
- Scientific computing clusters
- AI and machine learning workloads
- Big data processing systems
Advantages of Choose Intel E810XXVDA4G1P5
Next-Generation Network Architecture
- PCIe 4.0 performance scalability
- Multi-speed Ethernet support
- Optimized for modern data center workloads
Efficient Power and Resource Utilization
- Lower CPU utilization through hardware offloading
- Enhanced virtualization efficiency
- Optimized energy consumption in server environments
Enterprise Security and Stability
- Secure packet processing architecture
- Reliable long-term operation under load
- Robust error handling and correction mechanisms
Intel E810XXVDA4G1P5 Quad-Port PCIe Ethernet Adapter
High-Performance Data Center Networking Foundation
The Intel E810XXVDA4G1P5 Quad-Port PCIe 4.0 x16 Full-Height 25 Gigabit SFP28 x 2 Ethernet Network Adapter is engineered as a next-generation data center networking solution designed to meet the rapidly increasing demands of modern cloud infrastructures, high-performance computing environments, and enterprise-scale virtualization platforms. Built upon Intel’s advanced Ethernet controller architecture, this adapter delivers exceptional bandwidth density, scalable throughput, and deterministic low-latency performance suitable for mission-critical workloads.
As enterprises transition toward software-defined infrastructure, the need for high-speed, reliable, and programmable network adapters has become more critical than ever. This adapter integrates PCI Express 4.0 x16 interface capabilities, enabling significantly higher upstream bandwidth compared to previous PCIe generations, while supporting high-density SFP28 optical connectivity designed for 25 Gigabit Ethernet links. The result is a balanced combination of raw throughput, efficient packet processing, and enterprise-grade reliability.
Intel E810 Series Architecture and Engineering Design
Next-Generation Ethernet Controller Foundation
At the core of the Intel E810XXVDA4G1P5 network adapter lies Intel’s E810 Ethernet controller architecture, which is optimized for scalable cloud workloads and modern virtualization environments. The architecture focuses on reducing CPU overhead while improving packet processing efficiency through hardware offloading mechanisms, intelligent traffic segmentation, and dynamic workload distribution. This ensures that compute resources are maximized for applications rather than being consumed by networking tasks.
Advanced Packet Processing Engine
The adapter integrates a highly optimized packet processing engine capable of handling large volumes of small and large packets simultaneously. This is essential in environments such as virtualization clusters, software-defined storage systems, and microservices-based architectures where packet diversity and unpredictability are common. The architecture ensures consistent throughput even under heavy mixed traffic conditions, maintaining stable network performance.
Hardware Offload Capabilities
Hardware-based offloading is a key feature in the Intel E810XXVDA4G1P5 design. Tasks such as checksum calculations, segmentation offload, and encryption processing are handled directly by the adapter hardware. This reduces latency and frees CPU cycles for application-level workloads. The result is improved system efficiency and better workload consolidation, especially in virtualized environments where CPU contention is a critical factor.
PCI Express 4.0 x16 Interface Performance
High-Bandwidth Host Connectivity
The PCIe 4.0 x16 interface is one of the defining features of this adapter, offering double the per-lane throughput of PCIe 3.0. This expanded bandwidth capacity ensures that the network adapter can fully utilize its 25 Gigabit Ethernet ports without being bottlenecked by the host system. In high-density data center deployments, this becomes essential for maintaining consistent performance across multiple virtual machines and containerized workloads.
Low Latency Data Path Optimization
The design of the PCIe 4.0 x16 interface is optimized for low-latency data transfer between the network adapter and the system CPU. Reduced latency is crucial for latency-sensitive applications such as financial trading systems, real-time analytics platforms, and distributed storage clusters. The architecture ensures that data packets move efficiently between network and memory subsystems with minimal delay.
Scalability in Multi-GPU and Multi-NIC Systems
Modern server architectures often integrate multiple accelerators such as GPUs, FPGAs, and additional network interface cards. The PCIe 4.0 x16 interface provides sufficient bandwidth headroom to support these configurations without introducing congestion. This makes the Intel E810XXVDA4G1P5 suitable for AI training clusters and high-performance computing workloads that require simultaneous high-speed data exchange.
25 Gigabit SFP28 Connectivity Design
SFP28 Optical and Direct Attach Support
The adapter supports SFP28 interfaces designed for 25 Gigabit Ethernet connectivity, which can operate over both optical fiber and compatible direct attach copper cables. This flexibility allows data center administrators to deploy the adapter in a wide range of network topologies, from short-range rack-to-rack connections to long-distance interconnects within large campus environments.
High-Density Port Utilization
The SFP28 ports are engineered to maximize port density while maintaining signal integrity and low power consumption. In high-density server racks, this enables efficient scaling of network capacity without increasing physical footprint. The design also supports modular transceiver selection, allowing organizations to choose optical modules based on distance and bandwidth requirements.
Signal Integrity and Transmission Stability
Maintaining signal integrity at 25 Gigabit speeds requires advanced equalization and error correction mechanisms. The Intel E810XXVDA4G1P5 incorporates these mechanisms at the hardware level to ensure stable transmission even in electrically noisy environments. This is particularly important in large data centers where electromagnetic interference and cable congestion are common challenges.
Quad-Port Network Architecture and Load Distribution
Multi-Port Parallel Processing
The quad-port design of the Intel E810XXVDA4G1P5 enables parallel network processing across multiple channels, improving overall throughput and redundancy. Each port operates independently while being managed under a unified controller framework, allowing for intelligent traffic distribution and failover capabilities in enterprise environments.
Traffic Segmentation and Isolation
The architecture supports logical segmentation of network traffic across ports, enabling isolation between workloads such as storage traffic, application traffic, and management traffic. This improves security, performance predictability, and operational stability in complex infrastructure deployments.
Redundancy and High Availability
High availability is achieved through multi-port redundancy configurations, where traffic can be rerouted dynamically in the event of a link failure. This ensures uninterrupted service delivery for mission-critical applications. The adapter’s firmware and driver stack work together to detect failures and redistribute workloads seamlessly across available links.
Virtualization and Cloud Integration Capabilities
SR-IOV and Virtual Function Acceleration
Single Root I/O Virtualization (SR-IOV) is a key feature of the Intel E810XXVDA4G1P5, enabling a single physical network adapter to present multiple virtual functions to hypervisors and virtual machines. This significantly reduces overhead in virtualized environments and improves network performance consistency across workloads.
Hypervisor Compatibility and Efficiency
The adapter is optimized for compatibility with major hypervisors used in enterprise cloud environments. It ensures efficient packet routing between virtual machines while maintaining isolation and security boundaries. This allows organizations to scale virtual infrastructure without compromising network performance.
Containerized Network Performance
In container orchestration platforms, the adapter provides efficient network namespace handling and fast packet switching between container instances. This is particularly important for microservices architectures where service-to-service communication occurs at high frequency and low latency is essential.
RDMA and Low Latency Networking Features
Remote Direct Memory Access Optimization
The Intel E810XXVDA4G1P5 supports RDMA capabilities that enable direct memory-to-memory data transfer between systems without involving CPU intervention. This dramatically reduces latency and increases throughput for distributed computing workloads and storage replication systems.
High-Speed Storage Networking
In storage-heavy environments, RDMA enables faster synchronization between distributed nodes, reducing bottlenecks in data replication and backup systems. This is essential for modern software-defined storage architectures where performance and consistency are critical.
Latency-Sensitive Application Support
Applications that depend on microsecond-level response times benefit significantly from RDMA-enabled networking. Financial trading platforms, real-time analytics engines, and high-frequency transaction systems can achieve improved performance consistency using this adapter.
Security and Network Isolation Features
Hardware-Based Security Acceleration
Security is deeply integrated into the Intel E810XXVDA4G1P5 architecture, with hardware-based acceleration for encryption and secure packet processing. This reduces the burden on host CPUs while ensuring that data-in-transit is protected using modern encryption standards.
Secure Virtualization Isolation
In virtualized environments, the adapter ensures strict isolation between virtual machines through hardware-enforced segmentation. This prevents unauthorized access to network streams and improves overall system security posture.
Threat Mitigation at Network Level
The adapter supports intelligent traffic filtering and anomaly detection mechanisms that help identify and mitigate potential network-based threats. This contributes to a more resilient data center infrastructure capable of withstanding modern cyber threats.
Thermal Efficiency and Power Optimization
Advanced Power Management Architecture
Power efficiency is a critical aspect of the Intel E810XXVDA4G1P5 design. The adapter incorporates dynamic power scaling technologies that adjust energy consumption based on network load. This ensures optimal performance while minimizing power draw during low-traffic periods.
Heat Dissipation Design Considerations
The full-height form factor allows for improved airflow and heat dissipation, making it suitable for dense server environments. Efficient thermal management ensures stable operation even under sustained high-load conditions.
Enterprise Deployment Scenarios
Cloud Data Centers and Hyperscale Infrastructure
The adapter is widely suited for hyperscale data center deployments where massive bandwidth aggregation and low latency communication are essential. It supports distributed computing architectures that rely on fast interconnects between thousands of nodes.
High-Performance Computing Clusters
In HPC environments, the Intel E810XXVDA4G1P5 enables fast node-to-node communication essential for scientific simulations, machine learning model training, and large-scale computational workloads. Its low-latency design ensures consistent synchronization across compute nodes.
Enterprise Virtualization Platforms
Enterprise virtualization platforms benefit from the adapter’s SR-IOV capabilities, high throughput, and efficient CPU offloading. This allows organizations to maximize server utilization while maintaining predictable network performance.
Driver Support, Management, and System Integration
Enterprise Driver Ecosystem
The adapter is supported by a comprehensive driver ecosystem designed for major operating systems and virtualization platforms. These drivers provide advanced configuration options for tuning performance, optimizing latency, and managing traffic prioritization.
Centralized Network Management
Network administrators can leverage centralized management tools to monitor performance metrics, configure port behavior, and deploy firmware updates across large-scale environments. This simplifies operational complexity in enterprise deployments.
Performance Optimization and Tuning Capabilities
Traffic Prioritization and QoS Handling
Quality of Service mechanisms allow administrators to prioritize critical network traffic, ensuring that essential workloads receive sufficient bandwidth even during peak usage periods. This is vital for maintaining service-level agreements in enterprise environments.
Advanced Tuning for Specialized Workloads
The adapter supports detailed tuning options that allow optimization for specific workloads such as storage replication, virtual machine migration, or high-frequency transaction processing. These adjustments ensure that the hardware can be tailored to diverse operational requirements.
Adaptive Load Balancing Techniques
Adaptive load balancing ensures that network traffic is distributed efficiently across available ports, reducing congestion and improving overall system responsiveness. This dynamic behavior enhances scalability in large distributed systems.
