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| Product Overview |
|---|
The MCX683105AN-HDAT Mellanox ConnectX-6 adapter delivers high-speed 200Gb Ethernet and InfiniBand connectivity through a PCIe 4.0 x16 interface. It fits into servers and network setups that demand ultra-low latency and high bandwidth, often serving as a backbone for data-intensive computing and storage solutions. |
| General Information | |
|---|---|
| Brand | Mellanox |
| Part Number | MCX683105AN-HDAT |
| Technical Information | |
|---|---|
| Chipset/Controller | Mellanox ConnectX-6 (MCX683105AN) |
| Virtualization Support | SR-IOV, VXLAN, NVGRE, Geneve, NetQueue, vNIC |
| Data Rate (Speed) | 200GbE |
| Data Center Bridging | Yes |
| Storage Over Ethernet | iSCSI, FCoE (Fibre Channel over Ethernet), SMB Direct |
| Interface (Bus) | PCIe 4.0 x16 |
| Number of Ports | 1-Port |
| OS Compatibility | Windows Server 2022, VMware ESXi 8.0, RHEL, VMware ESXi |
| Network Management | SNMP, RMON, NC-SI |
| Offload Support | RDMA, RoCE v2, iSCSI, FCoE, PXE Boot, RoCE v1, Jumbo Frames |
| Bracket Height | Both Brackets Included |
| Connectivity & Physical | |
|---|---|
| Form Factor | Standard PCIe Card |
| Port Type | QSFP56 |
| 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 |
|---|
The MCX683105AN-HDAT is a high-performance network adapter designed to handle demanding data center workloads. It offers both 200Gb Ethernet and InfiniBand connectivity through a single QSFP56 port, enabling versatile, ultra-fast networking options. Built for servers that need to maximize throughput and minimize latency, this adapter frequently appears in cloud computing environments, storage systems, and high-performance computing clusters. IT professionals and system architects use it to enhance network infrastructure where speed and reliability are critical. Key Features
This adapter is commonly deployed in large-scale data centers, AI research labs, and enterprises that require rapid data movement and low latency. Its role is crucial in environments where network performance directly impacts application responsiveness and throughput. |