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| Product Overview |
|---|
The HP Dual Port 10GB 535FLR-T Ethernet Network Adapter provides dual 10Gb connections designed for HP servers with FlexibleLOM slots. It fits into specialized server setups where space and speed both matter, offering a solid solution for high-bandwidth networking needs without sacrificing expansion options. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | 817720-B21 |
| Technical Information | |
|---|---|
| Virtualization Support | SR-IOV, NetQueue, vNIC |
| Data Rate (Speed) | 10GbE |
| Data Center Bridging | Yes |
| Storage Over Ethernet | iSCSI, NFS |
| Number of Ports | 2-Port (Dual) |
| OS Compatibility | Windows Server 2022, VMware ESXi 8.0, RHEL |
| Network Management | SNMP, RMON |
| Offload Support | iSCSI, PXE Boot, Wake-on-LAN (WoL), TCP Stateless Offload, Jumbo Frames |
| Connectivity & Physical | |
|---|---|
| Form Factor | Mezzanine (LOM) |
| Port Type | RJ-45 (Copper) |
| Cabling Type | Cat6a |
| Weight | 5.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The HP Dual Port 10GB 535FLR-T Ethernet Network Adapter delivers reliable, high-speed networking capabilities for enterprise servers. It's built for HP ProLiant servers and designed to fit the FlexibleLOM slot, making it easy to upgrade or expand network options without using traditional PCI slots. Often found in data centers and demanding server environments, this adapter is ideal for administrators looking to enhance bandwidth and network performance. IT professionals benefit from its dual 10Gb ports that handle heavy traffic with reduced latency. Key Features
This network adapter is typically deployed in enterprise servers that require fast, scalable network connections. It's a practical choice in business environments where large data transfers and low latency are critical. The adapter helps maintain smooth communication and efficient data handling within server clusters and storage networks. |