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HP P26155-001 2x 100Gb/s QSFP56 PCIe 4.0 x16 Network Adapter
- Dual-Port 100Gb/s QSFP56 Network Adapter
- PCIe 4.0 x16 Interface
- High Bandwidth
- Low Latency
- Supports advanced networking protocols
- Designed for high-performance servers
- Ideal for AI/ML and HPC workloads
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Product Overview
The HP P26155-001 is a high-performance Network Adapter featuring two 100Gb/s QSFP56 ports. This PCIe 4.0 x16 card is designed for extreme bandwidth and low-latency networking, making it suitable for demanding server, storage, and HPC applications. It supports advanced features for high-speed data transfer.
Technical Information
| Ports | 2 x 100Gb/s QSFP56 |
| Interface | PCIe 4.0 x16 |
| Form Factor | Standard PCIe Card |
Additional Specifications
| Bandwidth | Up to 200 Gb/s (aggregate) |
| Manufacturer | HP Enterprise |
Product Description
The HP P26155-001 is a cutting-edge network adapter engineered to deliver unparalleled network performance with its dual 100 Gigabit per second (Gb/s) QSFP56 ports. This adapter leverages the high throughput of the PCIe 4.0 x16 interface, providing a massive aggregate bandwidth of up to 200 Gb/s. Such capabilities are essential for the most demanding environments, including high-performance computing (HPC) clusters, artificial intelligence (AI) and machine learning (ML) training platforms, and high-speed storage networks. The QSFP56 form factor supports 4 lanes of 50 Gb/s or 4 lanes of 100 Gb/s, enabling flexible and high-density connectivity. This adapter is designed to minimize latency and maximize data transfer efficiency, crucial for applications that are sensitive to network delays. Its advanced architecture ensures that data can be moved rapidly between servers and storage systems, or between compute nodes in a cluster. This network adapter is a critical component for organizations looking to build or upgrade their infrastructure to support next-generation workloads. The P26155-001 provides the necessary speed and capacity to handle massive datasets and complex computations, positioning it as a key enabler for innovation in data-intensive fields.