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| Product Overview |
|---|
The MCX613106A-VDAT is a dual-port 200Gb/s network adapter card that fits into servers using a PCIe 4.0 x16 slot. It is designed to deliver high bandwidth and low latency connections for demanding data center applications, providing efficient networking capabilities in a compact form factor. |
| General Information | |
|---|---|
| Brand | Mellanox |
| Part Number | MCX613106A-VDAT |
| Technical Information | |
|---|---|
| Chipset/Controller | NVIDIA Mellanox ConnectX-6 EN (MCX613106A-VDAT) |
| Virtualization Support | SR-IOV, VXLAN, NVGRE, Geneve, NetQueue, vNIC |
| Data Rate (Speed) | 200GbE |
| Data Center Bridging | Yes |
| Storage Over Ethernet | iSCSI, SMB Direct |
| Interface (Bus) | PCIe 4.0 x16 |
| Number of Ports | 2-Port (Dual) |
| 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, iWARP, TCP Stateless Offload, Jumbo Frames |
| Bracket Height | Low Profile (Half Height) |
| 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, CSA |
| Product Description |
|---|
This NVIDIA Mellanox ConnectX-6 EN network adapter card delivers ultra-fast dual 200Gb/s connections, making it ideal for high-performance computing and data center environments. The card is built for demanding workloads that require low latency and high throughput. Often found in enterprise servers and storage systems, it supports large-scale virtualization and cloud applications. IT professionals and system builders benefit from its robust design and advanced networking features that optimize data flow and network efficiency. Key Features
This adapter is typically deployed in data centers handling large-scale cloud services, AI workloads, and storage networks. Its role is critical in improving network performance and reducing latency in environments where every millisecond counts. |