NVIDIA ConnectX-7 MCX75310AAS-HEAT vs MCX755106AS-HEAT: Which One Is Right for Your Enterprise Server?

Follow Us:
Quick Take
Choosing between NVIDIA ConnectX-7 MCX75310AAS-HEAT and MCX755106AS-HEAT 200Gb/s network adapters depends on your structural network architecture. The MCX75310AAS-HEAT features a single OSFP port tailored for ultra-low latency InfiniBand and RoCE v2 in high-density AI/HPC GPU clusters, whereas the dual-port QSFP112 MCX755106AS-HEAT delivers the physical redundancy, link aggregation, and Socket Direct multi-socket optimization required for enterprise Ethernet, virtualization, and NVMe-oF storage tiers.

As enterprises accelerate AI adoption, modernize storage infrastructure, and upgrade to high-speed Ethernet fabrics, network adapters have become a critical component of overall server performance. NVIDIA's ConnectX-7 family is designed to meet these demands with PCIe Gen5 connectivity, ultra-low latency, and advanced hardware acceleration technologies. Among the available models, the MCX75310AAS-HEAT and MCX755106AS-HEAT are two popular 200Gb/s ConnectX-7 adapters. Although they share the same architecture and many enterprise-class features, they target different deployment scenarios. Choosing the wrong model may lead to unnecessary costs, compatibility challenges, or limited scalability. This guide compares the MCX75310AAS-HEAT vs. MCX755106AS-HEAT from an enterprise deployment perspective, helping IT managers, system integrators, and data center architects determine which adapter best fits their infrastructure.

1. MCX75310AAS-HEAT vs. MCX755106AS-HEAT: Quick Comparison
2. MCX75310AAS-HEAT vs. MCX755106AS-HEAT Specifications
3. Key Differences Between MCX75310AAS-HEAT and MCX755106AS-HEAT
4. How Do These Differences Affect Real-World Performance?

MCX75310AAS-HEAT vs. MCX755106AS-HEAT: Quick Comparison

If you only need a quick recommendation, the table below summarizes the major differences.

Requirement Recommended Model
AI training and HPC clusters MCX75310AAS-HEAT
Enterprise Ethernet networking MCX755106AS-HEAT
Dual-port redundancy MCX755106AS-HEAT
High-density GPU servers MCX75310AAS-HEAT
VMware and virtualization MCX755106AS-HEAT
NVMe-oF storage MCX755106AS-HEAT
OSFP infrastructure MCX75310AAS-HEAT
QSFP112 infrastructure MCX755106AS-HEAT

While both adapters deliver excellent performance, the better choice depends on your network architecture rather than simply comparing specifications.

MCX75310AAS-HEAT vs. MCX755106AS-HEAT Specifications

Specification MCX75310AAS-HEAT MCX755106AS-HEAT
Product Family NVIDIA ConnectX-7 NVIDIA ConnectX-7
Host Interface PCIe Gen5 x16 PCIe Gen5 x16
Maximum Network Speed 200Gb/s 200Gb/s
Port Configuration Single Port Dual Port
Connector Type OSFP QSFP112
RDMA Support RoCE v2 / InfiniBand RoCE v2 / Ethernet
GPUDirect RDMA Supported Supported
SR-IOV Supported Supported
Typical Deployment AI, HPC Enterprise Data Center
Need help with pricing or availability?

Check stock, compare options, or talk with our team.

At first glance, the two adapters appear very similar. However, their hardware design reflects different priorities for enterprise networking, making it important to look beyond the specification sheet.

Key Differences Between MCX75310AAS-HEAT and MCX755106AS-HEAT

Port Design: OSFP vs QSFP112

One of the most significant differences is the physical connector.

The MCX75310AAS-HEAT uses a single OSFP port, making it an excellent choice for high-density AI clusters and HPC environments. Many GPU-accelerated systems prioritize a dedicated, high-bandwidth connection between each compute node and the fabric, and the OSFP interface aligns well with this deployment model.

The MCX755106AS-HEAT features dual QSFP112 ports, offering greater flexibility for enterprise Ethernet environments. Two physical ports allow administrators to implement link aggregation, connect to separate Top-of-Rack (ToR) switches for redundancy, or isolate storage and application traffic.

The decision is therefore less about which connector is "better" and more about which one matches your existing infrastructure.

Network Architecture

Both adapters support 200Gb/s networking, but they are typically deployed in different architectures.

The MCX75310AAS-HEAT is commonly selected for environments where maximizing bandwidth between GPU servers is the primary objective. AI model training, scientific computing, and large-scale simulation clusters benefit from a streamlined single-port design that emphasizes throughput and low latency.

The MCX755106AS-HEAT is often preferred in enterprise Ethernet deployments, where network availability, flexible connectivity, and simplified operations are equally important. Dual ports make it easier to build highly available server connections while supporting virtualization and storage traffic.

For most organizations, workload characteristics should guide the purchasing decision more than raw specifications.

PCIe Gen5 and Intelligent Offloading

Both adapters utilize a PCIe Gen5 x16 host interface, providing sufficient bandwidth for today's high-speed networking workloads.

More importantly, they include several hardware acceleration technologies that reduce CPU utilization and improve application performance. Key capabilities include:

  • RoCE v2 RDMA
  • GPUDirect RDMA
  • SR-IOV virtualization
  • Hardware packet processing
  • Low-latency networking

Rather than handling every packet through the host processor, these technologies offload networking tasks directly to the adapter. This allows servers to dedicate more CPU resources to business applications while maintaining low latency under heavy traffic.

For AI training clusters, distributed databases, and storage platforms, these hardware accelerations can significantly improve overall system efficiency.

Socket Direct Support

Another important distinction is Socket Direct capability.

The MCX755106AS-HEAT supports Socket Direct configurations for compatible dual-socket servers. By providing dedicated PCIe connectivity to each CPU, Socket Direct reduces NUMA-related communication overhead and improves traffic distribution across the system. This feature is particularly valuable for:

  • NVMe-over-Fabrics storage
  • Enterprise virtualization
  • Multi-tenant cloud platforms
  • High-performance database servers

Organizations planning large-scale enterprise deployments should evaluate whether their server platform can benefit from this capability before making a purchasing decision.

How Do These Differences Affect Real-World Performance?

Although benchmark numbers are useful, enterprise deployments are influenced more by infrastructure design than synthetic performance tests.

If your organization is building GPU clusters for AI training or scientific computing, the MCX75310AAS-HEAT offers a straightforward solution that integrates well with high-density compute fabrics.

If your environment prioritizes high availability, virtualization, storage networking, or flexible Ethernet connectivity, the MCX755106AS-HEAT provides greater deployment flexibility through its dual-port architecture.

In other words, the best adapter is the one that aligns with your network topology, server platform, and future expansion plans—not simply the one with the longer feature list.