Mellanox MCX614105A-Vcat Connectx-6 En Adapter Card Kit, 200gbe

Product Details
Type: Wireless
Bandwidth: 10Mbps/100Mbps
Interface: PCI Express
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Number of Employees
6
Year of Establishment
2015-09-16
  • Mellanox MCX614105A-Vcat Connectx-6 En Adapter Card Kit, 200gbe
  • Mellanox MCX614105A-Vcat Connectx-6 En Adapter Card Kit, 200gbe
  • Mellanox MCX614105A-Vcat Connectx-6 En Adapter Card Kit, 200gbe
  • Mellanox MCX614105A-Vcat Connectx-6 En Adapter Card Kit, 200gbe
  • Mellanox MCX614105A-Vcat Connectx-6 En Adapter Card Kit, 200gbe
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  • Overview
  • Detailed Photos
Overview

Basic Info.

Model NO.
Mellanox MCX614105A-VCAT
Transmission Rate
10/100/1000Mbps
Application
Desktop, Laptop, Server
Connecting Medium
Ask Us
Motherboard Integrated
Separate Network Card
Frequency Range
Single Frequency
Type of Network
Fast Ethernet
Field
Workstation
Product Warranty
1 Year
Use
Storage Networks
Production Lead Time
10-25 Days
Supply Capacity
10, 000PCS Per Month
Transport Package
Paper Box
Specification
OEM
Trademark
None
Origin
China
Production Capacity
10, 000PCS Per Month

Packaging & Delivery

Package Size
150.00cm * 150.00cm * 35.00cm
Package Gross Weight
1.100kg

Product Description

Mellanox MCX614105A-VCAT ConnectX-6 EN Adapter Card Kit

The Mellanox MCX614105A-VCAT ConnectX-6 EN is a high-performance, single-port 200GbE Ethernet adapter designed for advanced data centers, high-performance computing (HPC), AI, cloud infrastructure, and storage networking. It features Socket Direct architecture with dual PCIe 3.0 x16 interfaces, enabling superior bandwidth, reduced latency, and enhanced CPU utilization.

Detailed Photos

 

Mellanox MCX614105A-Vcat Connectx-6 En Adapter Card Kit, 200gbeMellanox MCX614105A-Vcat Connectx-6 En Adapter Card Kit, 200gbeMellanox MCX614105A-Vcat Connectx-6 En Adapter Card Kit, 200gbeMellanox MCX614105A-Vcat Connectx-6 En Adapter Card Kit, 200gbeMellanox MCX614105A-Vcat Connectx-6 En Adapter Card Kit, 200gbe
 

Key Features

  • Single-port 200GbE connectivity with a QSFP56 interface for ultra-fast networking.
  • Socket Direct technology distributes network traffic across multiple CPU sockets, minimizing bottlenecks.
  • Dual PCIe 3.0 x16 interfaces provide maximum throughput and balanced traffic distribution.
  • RDMA acceleration (RoCE v2 & InfiniBand) reduces CPU overhead and improves efficiency.
  • NVMe-over-Fabrics (NVMe-oF) support for optimized storage solutions.
  • Security features include Hardware Root-of-Trust, Secure Boot, and Data Integrity Protection.
  • Virtualization and cloud optimization with SR-IOV, VXLAN, NVGRE, and Geneve support.
  • Enhanced telemetry and network visibility for real-time monitoring.
  • Tall brackets included for standard server deployment (low-profile bracket available separately).

Benefits

  • Delivers 200Gbps throughput for AI, ML, HPC, and cloud applications.
  • Socket Direct architecture ensures low-latency, high-speed communication between CPU sockets.
  • Supports hyperscale networking with advanced telemetry and congestion control.
  • Power-efficient design reduces consumption while maximizing performance.
  • Optimized for large-scale AI, deep learning, and cloud workloads.

Technical Specifications

Parameter Specification
Model MCX614105A-VCAT
Network Speed 200GbE
Ports 1 × QSFP56
Interface 2 × PCIe 3.0 x16 (Socket Direct)
RDMA Support RoCE v2, InfiniBand
Virtualization SR-IOV, VXLAN, NVGRE, Geneve
Security Features Secure Boot, Hardware Root-of-Trust, Data Integrity Protection
Congestion Control Adaptive Routing, Advanced Telemetry
Hardware Offloading Yes
Form Factor Standard with Tall Brackets (low-profile option available)
Power Consumption Low Power Design
Operating Temperature 0°C to 55°C
Compliance RoHS, IEEE 802.3, PCIe 3.0

Applications

  • High-performance computing (HPC) for scientific research, AI, and deep learning.
  • Hyperscale data centers requiring ultra-fast cloud networking.
  • Enterprise storage networking with NVMe-over-Fabrics support.
  • Multi-socket servers and virtualized environments optimized for CPU utilization.
  • AI and machine learning workloads demanding high bandwidth and low latency.

 

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