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NVIDIA MCX631102AS-ADAT Mellanox ConnectX-6 Lx EN 2 x Ports 25GbE PCIe4.0 x8 Ethernet Adapter Card
- Dual-port 25GbE Ethernet connectivity
- PCIe 4.0 x8 host interface
- Supports RDMA over Converged Ethernet (RoCE)
- Offloads TCP/IP, UDP/IP, and other network protocols
- Advanced security features including secure boot and encrypted memory
- Optimized for AI, HPC, and cloud workloads
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Product Overview
The NVIDIA Mellanox ConnectX-6 Lx EN is a high-performance Ethernet adapter card designed for modern data centers. It offers two 25GbE ports and utilizes the PCIe 4.0 x8 interface for maximum bandwidth and low latency.
Technical Information
| Model | MCX631102AS-ADAT |
| Brand | NVIDIA Mellanox |
| Port Speed | 25GbE |
Additional Specifications
| Number of Ports | 2 |
| Interface | PCIe 4.0 x8 |
| Form Factor | Standard PCIe Card |
Product Description
The ConnectX-6 Lx EN adapter card represents a significant advancement in network interface technology, engineered to meet the demanding requirements of high-performance computing, artificial intelligence, and cloud environments. Its dual 25GbE ports provide substantial throughput, enabling faster data transfer and reduced network congestion. The integration of PCIe 4.0 x8 ensures a high-bandwidth connection to the host system, minimizing latency and maximizing application responsiveness. This adapter card is equipped with advanced features such as RDMA over Converged Ethernet (RoCE) v2, which allows for direct memory access between nodes, bypassing the CPU and operating system for significantly lower latency and higher efficiency. It also incorporates numerous offload engines for TCP/IP, UDP/IP, and other network protocols, freeing up CPU resources for application processing. Security is paramount, with features like secure boot, encrypted memory, and hardware root-of-trust to protect sensitive data and system integrity. The ConnectX-6 Lx EN is designed for scalability and flexibility, supporting a wide range of operating systems and virtualization technologies. Its robust feature set makes it an ideal choice for demanding applications such as big data analytics, machine learning training, and high-frequency trading platforms, where network performance is a critical differentiator. The card's energy efficiency also contributes to lower operational costs in large-scale deployments.