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| Product Overview |
|---|
The Lenovo 2-Ports SFP+ 10Gb/s PCI Express 2.0 x8 Plug-in Module offers dual high-speed network ports designed to fit into Lenovo server PCIe slots. It provides reliable 10 Gigabit Ethernet connections primarily through fiber optic links, making it suitable for environments demanding fast and stable data transfer capabilities. |
| General Information | |
|---|---|
| Brand | Lenovo |
| Part Number | 81Y8021 |
| Alternate Part Number | 81Y8021-01-CT |
| Connectivity & Physical | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
This Lenovo 2-Ports SFP+ 10Gb/s PCI Express 2.0 x8 Plug-in Module is built for high-performance network connectivity in data centers and enterprise environments. It provides dual 10 Gigabit Ethernet ports via SFP+ interfaces, enabling fast and efficient data transfer over fiber optic cables. Commonly found in server setups that require robust network throughput and low latency, it suits IT professionals managing virtualized workloads or storage networks. The adapter fits into a PCIe 2.0 x8 slot, making installation straightforward and compatible with many Lenovo server models. Key Features
This network adapter is typically deployed in data centers, enterprise server rooms, and virtualized infrastructure where network speed and reliability are critical. It helps maintain smooth data flow for applications that require quick access to large volumes of information. By providing stable 10Gb/s connections, it plays a key role in minimizing bottlenecks and ensuring servers can communicate effectively within complex networks. |
| Use Cases |
|---|
The 81Y8021 network adapter is suited for environments where high-speed, low-latency network connections are essential. How It's Used:
This adapter helps organizations achieve enhanced network efficiency and scalability, supporting the demands of modern data-intensive workloads. |