E810XXVDA4G2P5 Intel 25Gb SFP28 Ethernet PCIe Adapter.
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Intel E810XXVDA4G2P5 4-Port 25GbE PCIe Adapter Overview
The Intel E810XXVDA4G2P5 is a high-performance enterprise-grade Ethernet network adapter designed for modern data centers, cloud computing environments, and virtualization-heavy workloads. This advanced PCI Express 4.0 x16 plug-in card delivers ultra-fast connectivity, low latency, and scalable bandwidth for demanding server applications.
General Product Information
- Manufacturer: Intel
- Part Number: E810XXVDA4G2P5
- Product Type: Network Adapter
Technical Specifications
Form Factor
- Full-height plug-in expansion card
Bus Interface
- PCI Express 4.0 x16
- Backward compatible with PCIe 3.0 systems
Connectivity Ports
- 2 x SFP28 ports supporting 25 Gigabit Ethernet
- Multi-speed support: 1GbE / 10GbE / 25GbE
Network Performance Capabilities
Supported Data Link Protocols
- Gigabit Ethernet
- 10 Gigabit Ethernet
- 25 Gigabit Ethernet
Network Transport Protocol Support
- iSCSI for storage networking
- iWARP for RDMA over TCP/IP
- NFS for distributed file systems
Advanced Hardware Features
RDMA Support
- Remote Direct Memory Access for ultra-low latency communication
- Reduced CPU overhead in data transfer operations
RoCE v2 (RDMA over Converged Ethernet)
- Enables efficient data center interconnectivity
- Improves performance for storage and virtualization workloads
Virtualization Optimization
- SR-IOV (Single Root I/O Virtualization)
- VMDq (Virtual Machine Device Queues)
- Improved VM traffic isolation and efficiency
Data Processing Enhancements
- DDIO (Data Direct I/O Technology)
- Intelligent hardware offloads
- Flexible Port Partitioning (FPP)
- On-chip Quality of Service (QoS) management
Use Cases and Applications
Ideal Deployment Environments
- Enterprise data centers
- Cloud computing infrastructures
- Virtualized server environments
- High-performance storage networks
- AI and big data processing clusters
Workload Optimization Scenarios
- High-frequency trading systems requiring ultra-low latency
- Database replication and distributed storage systems
- Virtual machine migration and orchestration
- Software-defined networking (SDN) environments
Performance Benefits
Speed and Bandwidth Advantages
- Supports up to 25Gbps per port for high throughput
- Dual-port configuration for redundant and aggregated networking
- Enhanced scalability for growing network infrastructures
Reliability and Efficiency
- Hardware-based packet processing reduces CPU load
- Improved reliability for mission-critical applications
- Optimized power efficiency in large-scale deployments
Interface and Compatibility
PCIe Compatibility
- PCI Express 4.0 x16 slot required for optimal performance
- Compatible with PCIe 3.0 systems at reduced bandwidth
SFP28 Connectivity
- Flexible optical or direct attach copper (DAC) support
- Seamless integration with modern network switches
Advantages of Intel E810XXVDA4G2P5 Adapter
- Enterprise-grade reliability from Intel engineering
- Advanced virtualization and RDMA features
- High-speed 25GbE performance for scalable workloads
- Optimized for modern cloud and data center architectures
Key Product Highlights
- Quad-port high-speed Ethernet network interface card (NIC)
- Supports 1GbE, 10GbE, and 25GbE connectivity standards
- Optimized for virtualization, cloud, and storage networking
- Advanced RDMA and hardware offload capabilities
- PCI Express 4.0 x16 interface for maximum throughput
High-Performance Datacenter Networking Foundation
The Intel E810XXVDA4G2P5 Quad-Port PCIe 4.0 x16 FH 25 Gigabit SFP28 x 2 Ethernet Network Adapter belongs to a class of advanced datacenter interconnect solutions designed for high-throughput, low-latency, and highly scalable enterprise environments. This network interface card (NIC) leverages modern PCI Express Gen4 architecture to deliver exceptional bandwidth density and flexible network virtualization capabilities for mission-critical workloads.
This category of high-speed Ethernet adapters is optimized for cloud service providers, hyperscale computing clusters, enterprise virtualization infrastructures, high-frequency trading systems, AI/ML compute nodes, and storage-intensive environments where deterministic packet delivery and minimal jitter are essential for operational efficiency.
The PCIe 4.0 x16 interface provides a significant leap in throughput compared to previous generations, enabling aggregated bandwidth that supports multiple high-speed SFP28 links simultaneously without bottlenecking host system performance. This makes the adapter suitable for dense server environments requiring deterministic network performance under sustained load conditions.
PCI Express 4.0 x16 Architecture and Bandwidth Scaling
Next-Generation Lane Utilization and Throughput Efficiency
The PCI Express 4.0 x16 interface represents a foundational component of the adapter’s performance capabilities. With each lane delivering up to 16 GT/s signaling rates, the aggregated x16 configuration enables extremely high theoretical bandwidth, allowing the network adapter to fully utilize multiple 25GbE links concurrently without congestion at the host interface level.
This architectural design reduces latency between CPU memory subsystems and network processing engines, which is particularly important for real-time analytics, distributed computing clusters, and high-frequency transaction processing systems where microseconds of delay can significantly impact performance outcomes.
Host System Integration and CPU Offload Optimization
Modern server architectures benefit significantly from NICs that support advanced offloading features. Within this category, the adapter reduces CPU overhead by handling tasks such as checksum calculations, segmentation offload, and interrupt moderation directly on hardware. This improves overall system efficiency by freeing CPU cycles for application-level workloads rather than packet processing tasks.
By integrating tightly with multi-core processors and NUMA-aware memory architectures, the adapter ensures efficient packet steering and reduces cross-node memory traffic, contributing to predictable performance scaling in distributed systems.
SFP28 25 Gigabit Ethernet Connectivity Layer
High-Density Optical and Direct Attach Support
The SFP28 interface standard supports 25 Gigabit Ethernet per lane, enabling high-density network deployments using optical transceivers or direct attach copper cables. This flexibility allows data center operators to optimize infrastructure based on distance requirements, cost constraints, and energy efficiency goals.
The adapter category supports scalable connectivity configurations that allow seamless integration into leaf-spine network topologies commonly used in modern hyperscale environments. This ensures consistent bandwidth delivery between compute nodes, storage clusters, and aggregation switches.
Low-Latency Packet Transmission Characteristics
One of the defining characteristics of 25GbE SFP28-based adapters is their ability to minimize serialization delay while maintaining high throughput efficiency. The Intel-based controller architecture ensures that packet transmission pipelines remain optimized for low jitter operation, which is critical in latency-sensitive workloads such as financial modeling, real-time analytics, and AI inference serving.
Multi-Port Networking Architecture and Load Distribution
Parallel Traffic Handling and Channel Aggregation
The quad-port design enables parallel traffic streams across multiple network interfaces, facilitating efficient load distribution in high-demand environments. Each port operates independently, allowing system administrators to configure link aggregation, failover strategies, or segmented network zones depending on application requirements.
In clustered computing environments, multi-port NICs reduce the need for additional hardware expansion, thereby optimizing PCIe slot utilization and improving airflow efficiency within server chassis designs.
Traffic Isolation and Virtual Network Segmentation
Multi-port configurations enable logical segmentation of network traffic across different operational domains. For example, storage traffic, management traffic, and application traffic can be isolated across separate physical interfaces, reducing contention and improving security posture within enterprise environments.
Virtualization Acceleration and SR-IOV Capability
Hardware-Based Virtual Function Partitioning
The adapter class supports Single Root I/O Virtualization (SR-IOV), allowing a single physical NIC to be divided into multiple virtual functions. This capability is essential in virtualized environments where multiple virtual machines require direct and independent access to network resources without hypervisor bottlenecks.
By bypassing software-based network abstraction layers, SR-IOV reduces latency and improves throughput consistency for virtual workloads, particularly in cloud-native architectures and containerized deployments.
Optimized Hypervisor Integration
Integration with hypervisors such as KVM, VMware ESXi, and Hyper-V enables advanced traffic steering and resource allocation mechanisms. This ensures that virtual machine workloads maintain consistent network performance even under high consolidation ratios.
Datacenter and Cloud Infrastructure Deployment Scenarios
Hyperscale Compute Clusters
In hyperscale environments, network adapters in this category serve as critical interconnects between compute nodes. Their ability to sustain high throughput under continuous load conditions makes them suitable for distributed computing frameworks such as large-scale data processing engines and AI training clusters.
Cloud Service Provider Infrastructure
Cloud infrastructure providers rely heavily on predictable network performance to deliver consistent service-level agreements. The PCIe 4.0 x16 Ethernet adapter category ensures that multi-tenant environments maintain isolation while still providing scalable bandwidth allocation per tenant workload.
Enterprise Private Cloud Environments
Enterprise data centers benefit from the flexibility of this adapter class when transitioning from traditional three-tier architectures to modern software-defined networking models. The ability to dynamically allocate network resources enables more efficient infrastructure utilization.
Storage Networking and NVMe Over Fabrics Integration
High-Speed Storage Communication Channels
Modern storage architectures increasingly rely on network-based communication protocols such as NVMe over Fabrics (NVMe-oF). The 25GbE throughput capacity of this adapter class provides sufficient bandwidth to support high-performance storage clusters with minimal latency overhead.
This enables remote storage devices to perform comparably to locally attached NVMe drives, which is essential in distributed storage systems and hyperconverged infrastructure deployments.
Latency Reduction in Distributed Storage Systems
By minimizing packet processing overhead and optimizing DMA transfers, the adapter reduces latency in storage read/write operations. This is particularly important in environments that require high IOPS consistency, such as virtualization storage backends and real-time database systems.
Reliability, Redundancy, and Failover Mechanisms
Link Aggregation and Fault Tolerance
The multi-port architecture enables link aggregation strategies that enhance both throughput and redundancy. In the event of a link failure, traffic can be rerouted automatically through operational ports, ensuring continuous service availability.
This redundancy model is essential in mission-critical environments where downtime can result in significant operational disruption or financial loss.
Enterprise-Grade Stability Features
The hardware design incorporates advanced error correction mechanisms and resilient packet handling systems that ensure data integrity across high-load network conditions. These features contribute to long-term stability in 24/7 operational environments.
Driver Ecosystem and Operating System Compatibility
Multi-Platform Driver Architecture
The adapter is supported across major enterprise operating systems including Linux distributions, Windows Server editions, and specialized network operating environments. This ensures compatibility across diverse infrastructure deployments.
Open-source driver support within Linux ecosystems allows for deep integration with kernel-level networking stacks, enabling performance tuning and advanced telemetry collection.
Thermal Efficiency and Power Optimization Design
Energy-Aware Networking Operations
High-performance network adapters must balance throughput capability with power efficiency. This category incorporates dynamic power scaling features that adjust energy consumption based on traffic load, reducing operational costs in large-scale deployments.
Thermal Dissipation and Server Chassis Integration
The full-height bracket design ensures efficient heat dissipation within rack-mounted server systems. Proper airflow alignment within datacenter chassis designs is critical for maintaining sustained performance under continuous high-throughput workloads.
Advanced Packet Processing and Offload Engine Capabilities
Hardware Acceleration for Network Workloads
The adapter class includes hardware acceleration engines that handle packet classification, filtering, and routing decisions at line rate. This reduces CPU intervention and ensures deterministic packet handling under heavy traffic loads.
Quality of Service and Traffic Prioritization
Advanced QoS mechanisms allow prioritization of critical traffic flows. This is particularly valuable in environments where latency-sensitive applications must coexist with bulk data transfer operations.
Security Enhancements in Network Interface Processing
Hardware-Level Packet Filtering and Protection
Security features embedded in the network controller enable early-stage packet filtering, reducing exposure to malicious traffic before it reaches the host system. This contributes to a layered defense strategy in enterprise environments.
Secure Virtualization Traffic Isolation
Virtualized environments benefit from isolated traffic paths that prevent cross-VM data leakage. SR-IOV-based segmentation ensures that virtual functions operate independently, improving overall security posture.
