XILINX X2522-25G XTREMESCALE 2 PORT 10/25G SFP28 NETWORK ADAPTER

The XtremeScale™ series of Ethernet network adapters are designed for high-performance electronic trading environments and enterprise data centers; including artificial intelligence, big data, analytics, hyperscale, machine learning, storage, and telco applications.

With record-breaking low latency and high throughput, XtremeScale network adapters provide real-time packet and flow information to thousands of virtual NICs. This combination of ultra-high bandwidth, ultra-low latency, ultra-scale connectivity, and packet telemetry allows X2 series adapters to scale with each server, virtual machine or container.

For cloud data centers, Onload® application acceleration software dramatically accelerates and scales network-intensive workloads such as in-memory databases, software load balancers, and web servers. With Onload, data centers can support 4X or more users on their cloud network while delivering improved reliability, enhanced quality of service (QoS), and a higher return on investment, without modification to existing applications.

In electronic trading environments, Onload kernel bypass application acceleration and DPDK services deliver superior small packet performance with sub-microsecond hardware latency.

In addition, XtremeScale adapters support the precision time protocol (PTP) fabric service for apps that require synchronized time stamping of packets down to single-digit nanosecond resolution.

Designed for Enterprise, Private and Public Cloud Datacenters

Target Applications

• Electronic trading platforms
• Public, private and hybrid-cloud data centers
• Bare metal, containers, and virtualized environments
• Content delivery networks

Key Features & Benefits

• Sub-microsecond latency
• Near-zero jitter
• Highly scalable
• Predictable, deterministic system performance
• Industry's highest message rates
• Precision Time Stamping for accurate synchronization
• NVMe™ /TCP storage ready
• SolarCapture® Pro network performance monitoring