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Product Overview |
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The HPE 4-Port 10GBase-T Host Bus Adapter offers four high-speed copper ports designed specifically for HPE Primera 600 storage arrays. It provides critical network connectivity that supports demanding data center applications, fitting neatly into existing systems to enhance storage access and overall performance. |
General Information |
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| Brand | HP |
Connectivity & Physical |
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| Weight | 5.00 |
| Condition | Refurbished |
Product Description |
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This HPE 4-Port 10GBase-T Host Bus Adapter is designed to provide reliable and fast network connections for enterprise storage environments. It is commonly found in data centers using HPE Primera 600 storage systems, where low latency and high throughput are essential. Built for storage administrators and IT professionals, it supports seamless integration into existing infrastructure, enabling efficient data handling and improved system responsiveness. The adapter suits workloads such as virtualization, database management, and high-performance computing. Key Features
Typically deployed in enterprise server rooms and storage clusters, this adapter helps streamline data flow between servers and storage. Its reliable performance plays a key role in maintaining consistent access speeds and reducing bottlenecks in complex IT environments. |
Use Cases |
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The HPE 4-Port 10GBase-T Host Bus Adapter is designed for data centers and enterprise IT environments that require high-throughput and low-latency connectivity to HPE Primera 600 storage systems. It is well-suited for workloads demanding rapid data access such as virtualization, database management, and real-time analytics, particularly in environments where existing copper infrastructure is leveraged. How It's Used:
This adapter strengthens operational efficiency by providing scalable and high-bandwidth network connections tailored for demanding storage workloads. Its compatibility with established copper cabling allows organizations to extend the lifespan of existing infrastructure while maintaining robust performance in critical data environments. |