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HP 656088-002 InfiniBand FDR 2-Ports 4X 10Gb/s Host Channel Adapter
- Part Number: 656088-002
- Type: InfiniBand Host Channel Adapter (HCA)
- Ports: 2 (Dual-Port)
- Speed: FDR (Fourteen Data Rate)
- Data Rate: 56Gbps per port
- Connector Type: QSFP (Quad Small Form-factor Pluggable)
- Interface: PCIe (typically x8 or x16)
- Manufacturer: HP (Hewlett-Packard)
- Designed for High-Performance Computing (HPC) and data centers
- Low latency, high throughput networking
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Product Overview
This HP 656088-002 is a dual-port InfiniBand Host Channel Adapter (HCA). It supports FDR (Fourteen Data Rate) speeds and features 4X QSFP connectors, providing high-speed, low-latency connectivity for HPC and data center environments.
Technical Information
| Part Number | 656088-002 |
| Type | InfiniBand HCA |
| Ports | 2 |
Additional Specifications
| Speed | FDR (56Gbps) |
| Connector | QSFP |
| Manufacturer | HP |
Product Description
The HP 656088-002 is a high-performance dual-port InfiniBand Host Channel Adapter (HCA) designed to facilitate extremely fast and low-latency communication in demanding environments. It supports the FDR (Fourteen Data Rate) standard, which provides a raw data throughput of 56 Gigabits per second per port. This makes it ideal for High-Performance Computing (HPC) clusters, large-scale data analytics, and high-frequency trading platforms where speed is critical. Each of the two ports on this adapter utilizes a QSFP (Quad Small Form-factor Pluggable) connector, which is a compact and versatile interface for high-speed optical or copper transceivers. The adapter connects to the server's motherboard via a PCI Express interface, typically x8 or x16, ensuring sufficient bandwidth to keep pace with the InfiniBand network speeds. This HCA is a key component for building efficient and scalable network infrastructures. Its ability to deliver high throughput and minimal latency is essential for applications that require rapid data exchange between compute nodes and storage systems, enabling faster processing and improved overall system performance in data-intensive workloads.
