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INTEL ETHERNET E810XXVDA4 SVR SINGLE

INTEL ETHERNET E810XXVDA4 SVR SINGLE

INTEL

  • $1,129.10
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Intel® Ethernet 800 Series improves application efficiency and network performance with innovative and versatile capabilities that optimize high-performance server workloads such as NFV, storage, HPC-AI, and hybrid cloud. With its high 10/25GbE port density, the E810-XXVDA4 adapter is designed to optimize high-performance system workloads for Cloud and Communications.

Performance optimizations and port density for Cloud and Storage deployments

  • Four 25GbE SFP28 ports deliver multiple high- speed connections
  • Application Device Queues (ADQ) provides dedicated traffic queues to reduce latency and increase application throughput
  • Dynamic Device Personalization enables protocol- specific traffic acceleration to improve packet processing efficiency and reduce CPU overhead
  • iWARP and RoCEv2 support provides high-speed, low-latency, high-throughput connectivity for Cloud storage targets


Accelerated packet processing and PCIe slot savings for Communications workloads

  • Four 25GbE SFP28 ports deliver greater bandwidth in slot-constrained RAN systems
  • Enhanced Data Plane Development Kit (DPDK) support increases packet processing speeds
  • Dynamic Device Personalization enables protocol- specific traffic acceleration and reduces CPU overhead for emerging high-bandwidth workloads
  • IEEE 1588 PTP v2 Precision Time Protocol support enables precise clock synchronization across 5G


Flexible Configurations

Intel® Ethernet Optics, and specification-compliant Active Optical Cables and Direct Attach Cables, can support multiple configurations.

Features
  • Supports optical fibre cable to span longer distances and provides data transmission rates par excellence between servers and network components
  • This 25Gigabit Ethernet card will surely cater to the bandwidth requirements of the next-gen cloud and Web-scale environments
  • This quad ports network adapter is designed to meet the multi-port network connectivity needs of today's data centred environments demanding virtualization, converged infrastructure, and power reduction

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