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| Product Overview |
|---|
The FTLF8528P3BNV-E5 transceiver module facilitates 8Gb/s Fibre Channel communication across multi-mode fiber networks. It fits into SFP+ slots and delivers reliable, medium-distance data transmission using an 850nm laser, meeting the requirements of modern storage and networking hardware without unnecessary complexity. |
| General Information | |
|---|---|
| Brand | Finisar |
| Technical Information | |
|---|---|
| Form Factor | SFP+ |
| Media | MMF |
| Type | VCSEL |
| Protocols | 8GBase-SW,8G Fibre Channel |
| Connector | LC Duplex |
| DOM Support | Yes |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The FTLF8528P3BNV-E5 is a high-speed SFP+ transceiver module designed for Fibre Channel applications requiring 8Gb/s data rates. It operates on an 850nm wavelength, which is commonly used in multi-mode fiber environments to ensure efficient signal transmission over short to medium distances. Often found in data centers and storage area networks, this module is built for IT professionals and network engineers who demand consistent performance and compatibility with existing multimode fiber infrastructure. Key Features
In practical terms, this transceiver module plays a critical role in maintaining effective data flow within Fibre Channel networks. Its design emphasizes stable performance and ease of deployment, making it a dependable choice for maintaining network reliability and throughput. |
| Use Cases |
|---|
This transceiver is typically deployed in data center environments where high-speed Fibre Channel connectivity between servers and storage arrays is essential. It supports network administrators managing SANs that require dependable and standardized optical links over multi-mode fiber. How It's Used:
By integrating this transceiver, organizations can maintain smooth and scalable Fibre Channel operations. It contributes to efficient network management and supports the ongoing performance needs of storage and virtualization workloads. |