Intel X710DA4FHBLK 10GbE SFP+ PCIe Converged Network Adapter

Product Overview

The Intel X710DA4FHBLK 10GbE SFP+ PCIe Converged Network Adapter is a high-performance networking solution designed to enhance data center efficiency and optimize network performance. This adapter offers advanced features and capabilities, making it an ideal choice for businesses seeking reliable and high-speed connectivity.

Key Features

Enhanced Performance

The Intel X710DA4FHBLK adapter delivers exceptional performance with its 10 Gigabit Ethernet (10GbE) connectivity. It supports four SFP+ ports, enabling fast data transfer rates and low latency. This ensures smooth and uninterrupted network operations, even during peak usage periods.

Flexibility and Compatibility

This network adapter is designed to be compatible with a wide range of systems and operating environments. It supports various operating systems, including Windows, Linux, and VMware ESXi, providing flexibility in deployment. Additionally, it is compatible with both fiber and copper cables, allowing businesses to leverage their existing infrastructure.

Advanced Network Virtualization

With support for advanced network virtualization technologies such as VMware VMDq and Microsoft VMQ, the Intel X710DA4FHBLK adapter enables efficient utilization of network resources. It allows for the creation of multiple virtual machines (VMs) on a single physical server, optimizing resource allocation and improving overall network efficiency.

Benefits

Improved Data Center Efficiency

By leveraging the advanced features of the Intel X710DA4FHBLK adapter, businesses can enhance their data center efficiency significantly. The high-speed connectivity and advanced virtualization support enable better resource utilization and seamless VM migration, reducing downtime and improving productivity.

Reduced Latency

The low-latency design of this network adapter ensures minimal delays in data transmission. This is critical for applications that require real-time data processing, such as financial transactions or online gaming. The reduced latency provided by the Intel X710DA4FHBLK adapter ensures smooth and responsive network performance.

Scalability and Future-Proofing

With its support for 10GbE connectivity, the Intel X710DA4FHBLK adapter offers scalability for growing network demands. It provides ample bandwidth for data-intensive applications and allows businesses to expand their network infrastructure without compromising performance. Investing in this adapter ensures future-proofing and adaptability to evolving business needs.

Enhanced Security

The Intel X710DA4FHBLK adapter includes advanced security features to protect sensitive data and ensure network integrity. It supports hardware-based encryption, enabling secure communication between servers and preventing unauthorized access. This enhances data protection and safeguards against potential security threats.

Technical Specifications

Connectivity

• Interface: PCIe 3.0 x8
• Ports: 4 x SFP+
• Cable Type: Fiber/Copper

Data Transfer Rates

• 10Gbps per port
• 40Gbps aggregated bandwidth

Compatibility

• Operating Systems: Windows, Linux, VMware ESXi
• Cabling: Fiber and Copper

Virtualization Support

• VMware VMDq
• Microsoft VMQ

Security Features

• Hardware-based encryption
• Secure communication between servers

Conclusion

The Intel X710DA4FHBLK 10GbE SFP+ PCIe Converged Network Adapter offers exceptional performance, flexibility, and advanced features to optimize network operations in data centers. Its enhanced data transfer rates, compatibility with various operating systems, and support for advanced virtualization technologies make it an ideal choice for businesses seeking reliable and efficient networking solutions. Additionally, the adapter's scalability, reduced latency, and enhanced security features provide long-term benefits and future-proofing for growing organizations. With the Intel X710DA4FHBLK adapter, businesses can improve their data center efficiency, ensure smooth network performance, and protect their valuable data.