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Product Overview |
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The HPE Synergy 3820C 10/20Gb Converged Network Adapter serves as a dual-port network interface that merges Ethernet and storage networking for Synergy blade servers. It fits within converged infrastructure setups where network consolidation and high throughput are essential, providing a balanced solution for demanding data center workloads. |
General Information |
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| Brand | HPE |
| Part Number | 777430-B21 |
Connectivity & Physical |
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| Weight | 3.00 |
| 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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The HPE Synergy 3820C 10/20Gb Converged Network Adapter is built for high-speed, flexible networking within HPE Synergy infrastructure. It combines Ethernet and storage traffic capabilities into a single adapter to streamline data center networking. Often found in virtualized and converged data center setups, this adapter helps IT professionals consolidate network interfaces while maintaining performance and reliability. It's ideal for environments where bandwidth and low latency are critical. Key Features
This network adapter is typically deployed in enterprise data centers running converged infrastructure. It plays a key role in simplifying network architecture by combining multiple functions into one device. Users benefit from reduced cabling complexity and improved overall network efficiency. |
Use Cases |
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The HPE 10/20Gb Dual-Port Synergy 3820C Converged Network Adapter is designed for environments requiring consolidated network and storage traffic within HPE Synergy composable infrastructures. It is well-suited for enterprise data centers and virtualized workloads where high-bandwidth, low-latency connectivity is critical. How It's Used:
By integrating network and storage connectivity into a single adapter, this solution reduces hardware complexity and enhances throughput for demanding workloads. This consolidation aids in maintaining operational efficiency and scalability in complex data center environments. |