Mellanox Nvidia MCX516A CCAT ConnectX 5 EN Adapter Card

Specifications:

1. Model: MCX516A CCAT

2. Brand: Mellanox

3. Interface: 100GbE

4. Ports: Dual Port

5. Form Factor: PCIe 3.0 x16

6. Speed: 100 Gbps

Basic Information:

The Mellanox Nvidia MCX516A CCAT ConnectX 5 EN Adapter Card is a high performance network adapter designed for data centers, high performance computing (HPC), and enterprise environments. It supports 100GbE connectivity and features dual ports, providing increased bandwidth and redundancy for critical applications.

Application:

This adapter card is ideal for:

  Data centers requiring high speed interconnects for virtualization and cloud services.

  HPC environments where low latency and high throughput are essential for complex simulations and computations.

  Enterprise networks that demand reliable and scalable connectivity for business critical applications.

Characteristics:

1. High Speed Connectivity: With 100GbE support, the card offers ten times the bandwidth of 10GbE, enabling faster data transfers and reduced latency.

2. Dual Ports: The dual port configuration allows for link aggregation, providing higher bandwidth and increased fault tolerance.

3. PCIe 3.0 x16 Interface: Ensures compatibility with a wide range of modern servers and workstations.

4. Energy Efficiency: Designed with energy saving features to reduce power consumption without compromising performance.

5. Advanced Features: Supports advanced networking features such as RDMA over Converged Ethernet (RoCE), which can significantly reduce CPU overhead and improve application performance.

6. Reliability: Built to withstand the rigors of 24/7 operation in demanding environments.

7. Scalability: Easily scalable to meet the growing needs of data intensive applications.

In Summary:

The Mellanox Nvidia MCX516A CCAT ConnectX 5 EN Adapter Card is a robust solution for organizations that require high speed, reliable, and scalable network connectivity. Its dual 100GbE ports, coupled with advanced features and energy efficient design, make it a top choice for enhancing data center and HPC performance.

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