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| Product Overview |
|---|
The HPE R2E09-63001 SN1610Q is a dual-port 32Gb Fibre Channel Host Bus Adapter that fits into PCIe 4.0 slots to connect servers with storage arrays. It plays a key role in data centers and enterprise setups needing fast and dependable storage networking. Its design balances speed and efficiency, making it suitable for various high-demand applications. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | R2E09-63001 |
| Technical Information | |
|---|---|
| Protocol | Fibre Channel (FC) |
| Data Rate | 32Gbps |
| Port Count | 2-Port (Dual) |
| Bus Interface | PCIe 4.0 x8 |
| Generation | Gen 7 |
| Connector Type | SFP28 (LC) |
| Chipset / Controller | Broadcom (QLogic) |
| Network Topology | Point-to-Point, Switched Fabric (N-Port), Arbitrated Loop |
| Bracket Height | Both Brackets Included |
| Advanced Features & Compatibility | |
|---|---|
| Management Features | NPIV Support, Boot from SAN, Selective LUN Masking, Full Fabric Support, Diagnostics (D_Port), VMID Support |
| 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 | PCIe add-in card (Low-profile/Half-height and Full-height supported) |
| Weight | 5.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The HPE R2E09-63001 SN1610Q is a Fibre Channel Host Bus Adapter built for delivering fast and reliable connections between servers and storage systems. It's commonly used in data centers where high-speed data transfer and low latency are critical. Often found in enterprise environments, this adapter suits IT professionals managing storage networks and virtualization projects that demand consistent performance. Its dual 32Gb ports enable efficient use of PCIe 4.0 lanes for faster throughput. Key Features
This adapter is typically deployed in environments handling large-scale data transactions, such as virtualization hosts, databases, and backup servers. It contributes to smoother data workflows and improved storage responsiveness without adding complexity. |