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HP R0P81A SN2410M 48 x Ports 25GBase-X + 8 x Ports QSFP28 1U GE Switch
- 48 x 25GbE SFP28 ports
- 8 x 40/100GbE QSFP28 ports
- 1U rack-mountable form factor
- Designed for data center environments
- High throughput and low latency
- Supports modern server connectivity
- Ideal for high-performance computing (HPC) and AI/ML workloads
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Product Overview
The HP R0P81A SN2410M is a 1U rack-mountable switch featuring 48 x 25GbE SFP28 ports and 8 x 40/100GbE QSFP28 ports. It is designed for high-performance data center networking, offering significant bandwidth and low latency.
Technical Information
| Model | SN2410M |
| Port Count (25GbE) | 48 x SFP28 |
| Port Count (40/100GbE) | 8 x QSFP28 |
Additional Specifications
| Form Factor | 1U Rackmount |
| Target Application | Data Center Networking |
Product Description
The HP R0P81A, identified as the SN2410M, is a high-density, high-performance switch engineered specifically for the demanding requirements of modern data centers. It boasts an impressive array of 48 x 25 Gigabit Ethernet (25GbE) SFP28 ports, providing ample connectivity for a large number of servers and storage devices that require high-speed access. The 25GbE standard offers a significant performance uplift over traditional 10GbE, enabling faster data transfers and improved application responsiveness. Complementing the 25GbE ports are 8 x 40/100 Gigabit Ethernet (40/100GbE) QSFP28 ports. These high-speed uplinks are crucial for connecting the switch to the network core, aggregation layers, or other high-bandwidth devices, ensuring that the network's backbone can keep pace with the demands of the connected servers. This combination of port types makes the SN2410M highly versatile for various data center topologies. Designed in a compact 1U rack-mountable form factor, the R0P81A SN2410M is space-efficient within data center racks. Its architecture is optimized for low latency and high throughput, making it an ideal choice for performance-intensive workloads such as high-performance computing (HPC), artificial intelligence (AI), machine learning (ML), and large-scale virtualization environments where every millisecond of latency and every bit of bandwidth counts.



