NVIDIA ConnectX-7 200GbE Dual-Port Network Adapter

Brand: NVIDIA | Category: Network Adapters & NICs

SKU: NVIDIA-CONNECTX-7-200GBE-NETWO | Part #: MCX7436AS-CADAT | MPN: MCX7436AS-CADAT

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The NVIDIA ConnectX-7 200GbE Dual-Port Network Adapter (MCX7436AS-CADAT) is a high-performance network interface card engineered for data centres, AI labs, and hyperscale computing environments across the GCC, Asia, and Europe. Built on PCIe 4.0 x16 architecture, this dual-port adapter delivers 200 Gigabits per second per port—totalling 400 Gbps aggregate throughput—making it suitable for bandwidth-intensive machine learning training, large-scale distributed computing, and storage-area network (SAN) deployments. The card integrates 16 GB of onboard buffer memory and supports industry-standard protocols including RoCE v2, iWARP, and native TCP/IP, enabling seamless integration into both Ethernet-based and RDMA-optimised fabrics. Its low-profile form factor and modest 75 W maximum power draw make it practical for dense multi-socket server configurations, while hardware offloads and Multi-Queue architecture reduce CPU overhead and improve application throughput in demanding workloads.

Key Features

• Dual 200GbE ports: Two independent network ports, each capable of 200 Gbps, for a total fabric capacity of 400 Gbps per adapter.
• PCIe 4.0 x16 interface: Full-width Gen 4 connectivity with backward compatibility to PCIe 3.0 slots, ensuring broad server platform support.
• 16 GB onboard memory: Integrated packet buffer for improved resilience and performance under congestion or bursty traffic patterns.
• Multi-protocol support: Native support for RoCE v2, iWARP, and TCP/IP, enabling flexible deployment across Ethernet and RDMA fabrics.
• Hardware offloads and Multi-Queue: CPU-bypassing capabilities reduce host processor overhead and improve per-flow scalability in multi-threaded applications.
• NVMe over Fabrics (NVoF): Native support for remote NVMe storage access, critical for composable and disaggregated infrastructure architectures.
• Low-profile form factor: Compact design suitable for high-density server deployments without requiring custom chassis or riser modifications.
• Efficient power profile: Maximum 75 W power consumption, reducing total system power budget and cooling requirements in large-scale rack deployments.
• Linux and Windows Server certified: Validated driver support across both open-source and enterprise operating systems.

Typical Use Cases

• AI and machine learning infrastructure: Interconnect GPU clusters and high-performance compute nodes for distributed training of large language models and computer vision workloads, where low-latency RDMA is essential.
• High-performance computing (HPC) clusters: Connect compute and storage tiers in scientific research environments, molecular dynamics simulations, and weather prediction systems requiring sustained high-bandwidth inter-node communication.
• Hyperconverged infrastructure and software-defined storage: Support vSAN, Ceph, or proprietary distributed storage platforms by providing the high throughput and low latency required for efficient data replication and erasure coding.
• Real-time financial and algorithmic trading platforms: Enable sub-microsecond latency market data feeds and order execution by offloading protocol processing to hardware.
• Data centre fabric modernisation: Replace or augment older 100 GbE infrastructure in spine-leaf topologies, supporting both East-West microservices traffic and North-South data ingestion at scale.
• NVMe disaggregated storage networks: Serve remote NVMe targets to application servers via NVMe-over-Fabrics (NVoF), decoupling compute and storage tier scaling.

The ConnectX-7 200GbE stands apart through its combination of dual-port density, native RDMA and NVoF support, and onboard memory—delivering both throughput and resilience in a single low-power card. Omnixon Global stocks and can source this adapter and complementary networking solutions for deployment across UAE and GCC data centres. Contact our technical sales team to discuss your network architecture requirements and receive a detailed quotation.

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