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| Product Overview |
|---|
The Lenovo 7ZT7A00520 adapter integrates dual 16Gbps Fibre Channel ports onto a mezzanine card, designed for Lenovo ThinkSystem servers. It delivers consistent SAN connectivity and fits seamlessly into enterprise storage setups, supporting demanding workloads and ensuring stable data transfers. |
| General Information | |
|---|---|
| Brand | QLogic |
| Part Number | 7ZT7A00520 |
| Technical Information | |
|---|---|
| Protocol | Fibre Channel (FC) |
| Data Rate | 16Gbps |
| Port Count | 2-Port (Dual) |
| Bus Interface | Mezzanine (LOM) |
| Generation | Gen 5 |
| Connector Type | SFP+ (LC) |
| Chipset / Controller | QLogic QML2692 |
| Network Topology | Switched Fabric (N-Port) |
| Advanced Features & Compatibility | |
|---|---|
| Management Features | NPIV Support, Boot from SAN, Selective LUN Masking, Full Fabric Support, Diagnostics (D_Port) |
| OS Compatibility | Windows Server 2019, Windows Server 2022, VMware ESXi 7.x, VMware ESXi 8.x, RHEL 8, RHEL 9, SLES 15, Solaris, AIX |
| Physical Characteristics | |
|---|---|
| Form Factor | Mezzanine |
| Weight | 5.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL |
| Product Description |
|---|
This Lenovo 7ZT7A00520 QLogic QML2692 mezzanine adapter provides high-speed Fibre Channel connectivity designed specifically for ThinkSystem servers. It enables fast and stable data transfer essential for storage area networks (SANs) and enterprise data centers. Often found in environments requiring dependable and low-latency storage access, this adapter is built for IT administrators and system architects managing complex server infrastructures. It is a practical choice for setups demanding efficient SAN integration and high throughput. Key Features
This adapter typically appears in data centers powering enterprise storage solutions, offering reliable connectivity between servers and storage arrays. Its role is crucial in maintaining smooth data workflows and reducing bottlenecks in high-demand applications. |