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| Product Overview |
|---|
The Lenovo 32Gb Fibre Channel 850nm SFP+ Transceiver Module provides a reliable optical connection tailored for short-range fibre channel links. It delivers 32Gbps speed and fits into SFP+ slots on Lenovo storage and networking gear, making it a straightforward choice for data centers focused on storage performance and efficiency. |
| General Information | |
|---|---|
| Brand | Lenovo |
| Part Number | 4M17A13528 |
| Technical Information | |
|---|---|
| Form Factor | SFP+ |
| Media | MMF |
| Type | VCSEL |
| Protocols | 32G Fibre Channel |
| Connector | LC Duplex |
| DOM Support | Yes |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
This Lenovo 32Gb Fibre Channel 850nm SFP+ Transceiver Module enables rapid data transfer in storage area networks by supporting 32Gbps speeds. It’s commonly used in data centers and enterprise storage setups where high throughput and low latency are critical. Built for short-range optical fiber connections, this transceiver fits into SFP+ slots on compatible Lenovo switches and storage arrays, making it a reliable choice for IT professionals managing large-scale storage environments. Storage administrators and network engineers often rely on this module to maintain efficient and stable connectivity. Key Features
This transceiver is typically deployed in data centers where quick access to storage arrays is essential. It helps maintain smooth operation of SAN environments by providing the necessary bandwidth for critical applications. Whether upgrading existing systems or building new storage solutions, this module plays a key role in achieving consistent, high-speed connectivity without unnecessary complexity. |
| Use Cases |
|---|
The 4M17A13528 Lenovo 32Gb Fibre Channel 850nm SFP+ Transceiver Module is utilized in environments requiring fast, reliable optical communication for storage and networking. How It's Used:
Its deployment ensures efficient data flow and improved network scalability for organizations managing large volumes of data. |