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Product Overview |
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The HPE 871365-001 Dual Port Synergy 6410C Ethernet Adapter is designed to provide high-speed network access within HPE Synergy systems. It fits into data centers where robust, scalable network connectivity is crucial, supporting dual 25Gb and 50Gb Ethernet to handle demanding workloads efficiently. |
General Information |
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| Brand | HPE |
| Part Number | 871365-001 |
Connectivity & Physical |
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| Weight | 5.00 |
| Condition | Refurbished |
Miscellaneous |
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| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
Product Description |
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This HPE Dual Port Synergy 6410C Ethernet Adapter provides fast and flexible network connections designed for modern data center environments. It is commonly used in HPE Synergy systems to deliver enhanced throughput and efficient data handling. Built for IT professionals managing virtualized workloads and high-demand applications, it often appears in enterprise setups where scalable and reliable network performance is essential. The adapter supports a range of speeds and advanced features to optimize traffic and reduce bottlenecks. Key Features
Typically deployed in data centers and enterprise server environments, this adapter helps streamline network operations and improve overall system responsiveness. It plays a key role in maintaining smooth communication between servers and network resources while supporting growing bandwidth requirements. |
Use Cases |
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The HPE Dual Port 25/50Gb Synergy 6410C Ethernet Adapter is primarily deployed in high-density data center environments where scalable, low-latency network connectivity is critical. IT teams managing HPE Synergy composable infrastructure benefit from its ability to seamlessly handle intensive virtualization and cloud workloads. How It's Used:
This adapter enhances operational efficiency by providing flexible, high-speed network interfaces tailored for dynamic workloads. Its compatibility with advanced networking protocols ensures sustained performance as data centers scale and evolve. |