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Xilinx X2522-25G Xtremescale X2522 2-P 25GbE PCIe Fiber Adapter
- 2 x 25GbE ports
- PCIe Fiber Adapter
- Xilinx Xtremescale X2522
- High-performance computing ready
- Data center optimized
- Supports high throughput
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Product Overview
The Xilinx X2522-25G is an Xtremescale X2522 adapter featuring 2 ports of 25GbE connectivity via a PCIe fiber interface. It is designed for high-performance computing and data center applications requiring significant network throughput.
Technical Information
| Product Type | 25GbE PCIe Fiber Adapter |
| Ports | 2 x 25GbE |
| Interface | PCIe Fiber |
Additional Specifications
| Brand | Xilinx |
| Model | Xtremescale X2522 (X2522-25G) |
Product Description
The Xilinx Xtremescale X2522 (model X2522-25G) is a high-performance network adapter designed to deliver 25 Gigabit Ethernet connectivity through its dual ports. This adapter leverages the PCIe interface for high-speed communication with the host system, making it suitable for demanding applications in high-performance computing (HPC) and modern data centers. The 'Fiber Adapter' designation indicates its use with fiber optic cabling, providing the necessary speed and signal integrity for high-bandwidth networking. This card is part of Xilinx's Xtremescale product line, which is known for providing advanced solutions for data-intensive workloads. The 25GbE speed per port is crucial for environments that require rapid data processing and transfer, such as AI/ML training, large-scale simulations, and high-frequency trading platforms. The dual-port configuration offers flexibility for network redundancy, load balancing, or increased aggregate bandwidth. The X2522-25G is engineered to provide low latency and high throughput, essential characteristics for applications where every millisecond and every bit counts. Its integration into server systems via the PCIe bus ensures efficient data movement, minimizing bottlenecks and maximizing the utilization of network resources. This adapter is a key component for organizations aiming to build or upgrade their infrastructure to support the ever-increasing demands of data-intensive computing.
