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Product Overview |
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The 81Y3521 Intel/Lenovo Ethernet Converged Network Adapter combines high-speed 10 Gigabit Ethernet connectivity with hardware offloads to improve network efficiency in servers. It fits well in enterprise data centers, supporting tasks that require consistent and fast network communication without burdening the system’s processor. |
General Information |
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| Brand | Lenovo |
| Part Number | 81Y3521 |
| Alternate Part Number | 81Y3521-16-HU |
Connectivity & Physical |
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| Weight | 3.00 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL |
Product Description |
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The 81Y3521 Intel/Lenovo Ethernet Converged Network Adapter provides robust 10 GbE network capabilities, designed to handle demanding data center tasks. Often found in enterprise servers, it enables fast, stable connections for applications that require heavy network throughput. Built for IT professionals managing server infrastructure, this adapter helps optimize networking performance while minimizing CPU usage through offloading features. It is commonly used in environments needing reliable and efficient network communication, such as virtualization, storage, and cloud computing. Key Features
This adapter typically appears in data centers and enterprise server setups where network performance and reliability are crucial. By offloading network tasks from the CPU, it contributes to smoother operation and better resource management in real-world IT environments. |
Use Cases |
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The 81Y3521 Lenovo 10GbE PCIe 3.0 Ethernet Converged Network Adapter is typically deployed in enterprise and data center environments where high throughput and low latency network connectivity are critical. IT professionals managing virtualized servers or storage clusters benefit from its ability to offload network processing, optimizing resource allocation for demanding workloads. How It's Used:
This adapter plays a key role in maintaining network efficiency and scalability in complex server environments by offloading processing tasks and maximizing throughput. Its compatibility with leading server platforms ensures seamless integration and ongoing support for growing network demands. |