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HPE P08256-001 1 InfiniBand 2-Ports QSFP56 PCIe 3.0 x16
- Dual-port InfiniBand adapter.
- Features QSFP56 connectors for high-speed links.
- Supports up to 200Gbps aggregate bandwidth (100Gbps per port).
- Utilizes a PCIe 3.0 x16 host interface for robust connectivity.
- Designed for high-performance computing (HPC) and data-intensive applications.
- Enables low-latency communication between compute nodes.
- Suitable for AI/ML workloads and large-scale data processing.
- Provides reliable and efficient data transfer capabilities.
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Product Overview
The HPE P08256-001 is a dual-port InfiniBand adapter offering high-speed connectivity for demanding server environments. It provides two QSFP56 ports, supporting up to 200Gbps aggregate bandwidth, and connects via a PCIe 3.0 x16 interface.
Technical Information
| Product Type | Network Adapter |
| Technology | InfiniBand |
| Port Configuration | 2 x QSFP56 |
| Speed | Up to 200Gbps (aggregate) |
Additional Specifications
| Interface | PCIe 3.0 x16 |
| Form Factor | Standard PCIe Card |
| Manufacturer | HPE |
| Part Number | P08256-001 |
Product Description
The HPE P08256-001 is a high-performance InfiniBand adapter engineered to facilitate rapid and efficient data exchange in demanding server environments. This adapter is equipped with two QSFP56 ports, each capable of delivering up to 100Gbps of bandwidth, resulting in a substantial aggregate throughput of 200Gbps. The adapter connects to the server's motherboard via a PCIe 3.0 x16 interface, providing ample bandwidth to support the high-speed InfiniBand connections without becoming a bottleneck. This configuration is crucial for applications that require low latency and high message rates, such as those found in High-Performance Computing (HPC) clusters, scientific simulations, and large-scale data analytics platforms. With its dual-port design and high-speed capabilities, the P08256-001 enables enhanced inter-server communication, crucial for distributed computing tasks. It is an essential component for building scalable and performant infrastructure for AI/ML training, financial modeling, and other data-intensive workloads where speed and reliability are paramount.
