| Management number | 241243387 | Release Date | 2026/07/17 | List Price | US$501.90 | Model Number | 241243387 | ||
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The NVIDIA MCX713106AS-CEAT is a high-performance network adapter designed to provide ultra-fast and reliable connectivity for demanding server environments. Equipped with two QSFP112 ports, each supporting up to 200 Gb/s, it delivers exceptional throughput and low latency for data centers and applications requiring top-tier network performance. The adapter connects via a PCIe 5.0 x16 interface, ensuring efficient data transfer between the server and network infrastructure while supporting both InfiniBand and Ethernet protocols for versatile deployment.
This adapter supports a broad range of Ethernet speeds from 1 Gb up to 200 Gb, making it adaptable to existing and future network infrastructures. Its compatibility with both Windows and Linux operating systems ensures seamless integration into diverse enterprise environments. The dual QSFP112 ports provide flexible connectivity options for high-speed networking setups, while the PCIe 5.0 x16 interface guarantees fast communication with the host server.
By incorporating RDMA and RoCE technologies, the adapter offloads data transfer tasks from the CPU, which reduces latency and improves throughput. The support for GPUDirect Storage and NVMe-oF offload further accelerates data movement between storage devices and GPUs, making it a strong choice for AI workloads, cloud computing, and high-performance computing applications. Its robust operating temperature and humidity range ensure consistent performance in demanding data center environments.
This network adapter is well suited to data centers and enterprise servers that require extremely high bandwidth and low latency. It fits well in setups focused on AI, machine learning, cloud services, and high-performance computing where efficient data transfer and reduced CPU load are critical. Its compact form factor also makes it a practical option for servers with limited space, while secure boot functionality addresses security concerns in sensitive environments.
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