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| Product Overview |
|---|
The HP InfiniBand EDR 1-Port 100Gb/s 100GBase-X PCI-Express network adapter is designed to provide fast and reliable high-speed data connections in environments like data centers and HPC clusters. It fits into servers requiring low latency and high bandwidth for efficient communication between components. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | 872725-B21 |
| Technical Information | |
|---|---|
| Chipset/Controller | Mellanox ConnectX-4 |
| Virtualization Support | SR-IOV, VXLAN, Geneve, NetQueue |
| Data Rate (Speed) | 100GbE |
| Data Center Bridging | Yes |
| Storage Over Ethernet | iSCSI, SMB Direct |
| Interface (Bus) | PCIe 3.0 x16 |
| Number of Ports | 1-Port |
| OS Compatibility | Windows Server 2022, VMware ESXi 8.0, RHEL, VMware ESXi |
| Network Management | SNMP, RMON |
| Offload Support | RDMA, RoCE v2, iSCSI, PXE Boot, RoCE v1, Jumbo Frames |
| Bracket Height | Both Brackets Included |
| Connectivity & Physical | |
|---|---|
| Form Factor | Standard PCIe Card |
| Port Type | QSFP28 |
| Cabling Type | AOC |
| Weight | 5.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL, TUV, cULus |
| Product Description |
|---|
This HP InfiniBand EDR network adapter delivers a 100Gb/s data rate through a single port, making it suitable for demanding data center and HPC workflows. It's built for systems requiring fast, low-latency connections, often found in cluster computing and storage networks. Designed primarily for enterprises and research institutions that manage large volumes of data, this adapter enhances communication between servers and storage devices. Its compatibility with PCI-Express 3.0 x16 ensures a robust connection with the host system. Key Features
Typically deployed in high-throughput clusters or storage area networks, this adapter helps maintain fast data flows with minimal delay. Its role is crucial where rapid data exchange underpins computational tasks or large-scale storage operations. |