MCX75310AAC-NEAT Nvidia NDR/400GBE Adapter Card
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Nvidia MCX75310AAC-NEAT ConnectX-7 Adapter Card
MCX75310AAC-NEAT is a NVIDIA ConnectX-7 high-performance network adapter designed for AI, HPC, cloud, and enterprise data centers. It supports up to 400GbE Ethernet or NDR InfiniBand through a single OSFP port and connects via PCIe 5.0 x16. The adapter delivers ultra-low latency, high bandwidth, RDMA support, GPU Direct, and NVMe over Fabrics acceleration for faster data transfer. It also includes hardware security features such as secure boot and crypto acceleration, making it ideal for demanding, high-speed networking environments.
General Information
- Manufacturer: Nvidia
- Part Number: MCX75310AAC-NEAT
- Device Type: Adapter Card
Technical Specifications
- InfiniBand: NDR up to 400Gb/s
- Host Interface: PCI Express 5.0 x16
- Backward Compatibility: PCIe Gen4 x16, PCIe Gen3 x16
- Form Factor: HHHL
- Dimensions: 68.9 × 167.65 mm
- Bracket: Includes both tall and short options
- Ethernet: 400GbE maximum throughput
- Supported Ethernet Speeds: 400G, 200G, 100G, 50G, 40G, 10G, 1G
- Supported InfiniBand Speeds: NDR, NDR200, HDR, HDR100, EDR, FDR, SDR
Compatibility
Server Platforms
- Dell PowerEdge
- HPE ProLiant
- Lenovo Think System
- Super micro
- ASUS Servers
- Gigabyte Servers
- NVIDIA DGX Systems
Operating Systems
- Linux (Ubuntu, RHEL)
- Windows Server
- VMware ESXi
- Kubernetes Environments
Network Compatibility
- NVIDIA Quantum InfiniBand Switches
- NVIDIA Spectrum Ethernet Switches
- 400G OSFP Optical Modules
- OSFP DAC Cables
- Active Optical Cables (AOC)
Storage Compatibility
- NVMe over Fabrics
- RDMA and RoCE v2
- GPUDirect RDMA
- GPUDirect Storage
Overview Nvidia MCX75310AAC-NEAT ConnectX-7 Adapter Card
The Nvidia MCX75310AAC-NEAT ConnectX-7 Adapter Card represents the next generation of high-performance networking solutions, engineered to deliver unmatched throughput, scalability, and security. Designed for enterprise-grade deployments, high-performance computing clusters, and advanced artificial intelligence workloads, this adapter card integrates cutting-edge NDR InfiniBand and 400GbE Ethernet capabilities with crypto acceleration features. The part number MCX75310AAC-NEAT identifies this model as a crypto-enabled adapter card, ensuring secure data transmission across modern data center environments.
Series and Architecture
The ConnectX-7 series builds upon the legacy of ConnectX-6 by introducing enhanced bandwidth, lower latency, and advanced offload capabilities. The MCX75310AAC-NEAT card leverages PCIe Gen5 architecture, ensuring maximum utilization of system resources and seamless integration with next-generation servers. Its design supports both InfiniBand NDR and Ethernet 400GbE, offering versatility for hybrid infrastructures.
Network Performance
The adapter card delivers up to 400Gb/s throughput per port, enabling ultra-fast communication between nodes in HPC clusters and AI training environments. InfiniBand NDR technology ensures extremely low latency, while Ethernet 400GbE compatibility provides flexibility for cloud and enterprise deployments. Supported speeds include 100GbE, 200GbE, and 400GbE, making it adaptable to diverse networking requirements.
Interface and Hardware
The MCX75310AAC-NEAT card utilizes PCIe Gen5 x16 lanes, ensuring optimal bandwidth allocation. It features QSFP-DD connectors, supporting both copper and optical transceivers. The hardware design emphasizes efficiency, with a low-profile form factor suitable for dense server environments. Advanced socket direct architecture ensures balanced PCIe lane distribution, maximizing throughput across multiple CPUs.
Form Factor
The adapter card is designed with a compact low-profile form factor, making it suitable for deployment in high-density server racks. Its dimensions align with industry standards, ensuring compatibility with enterprise-grade chassis and blade servers.
Crypto Acceleration
The MCX75310AAC-NEAT card integrates hardware-based encryption engines, supporting AES-XTS and AES-GCM standards. This ensures secure communication across distributed environments, protecting sensitive workloads in AI, ML, and financial applications. Crypto acceleration minimizes CPU overhead, enabling faster and more secure data transfers.
RDMA and Offload Capabilities
Remote Direct Memory Access support allows direct memory-to-memory communication between nodes, reducing latency and CPU utilization. Hardware offloads include TCP/UDP/IP processing, NVMe over Fabrics, and advanced packet pacing. These features enhance performance in storage networks and cloud-native environments.
Virtualization and Cloud Integration
The adapter card supports SR-IOV and virtualization offloads, enabling efficient resource allocation in multi-tenant cloud infrastructures. High message rate performance ensures responsiveness in virtualized workloads, while advanced packet pacing optimizes traffic flow across distributed systems.
Operating Systems
The MCX75310AAC-NEAT card is compatible with major operating systems including Linux distributions (RHEL, Ubuntu, SLES), Windows Server, VMware ESXi, and FreeBSD. This broad compatibility ensures seamless integration across diverse enterprise environments.
Driver Support
Drivers include MLNX_OFED for Linux and WinOF-2 for Windows, providing optimized performance and feature support. These drivers enable advanced networking features such as RDMA, crypto acceleration, and virtualization offloads.
Server Requirements
The adapter card is designed for enterprise servers, HPC clusters, AI/ML GPU servers, and cloud data centers. It requires PCIe Gen5 x16 slots with adequate power delivery and airflow. Proper server-grade cooling is recommended to maintain optimal thermal performance.
Low Latency
Latency is reduced to sub-microsecond levels, critical for HPC and AI workloads requiring rapid communication between nodes. This ensures faster convergence in distributed training and real-time responsiveness in financial applications.
High Bandwidth Utilization
With up to 400Gb/s per port, the adapter card maximizes bandwidth utilization, enabling large-scale data transfers and distributed computing workloads. This performance is essential for next-generation AI models and exascale computing environments.
Data Protection
Hardware-based encryption ensures end-to-end data protection, safeguarding sensitive information in transit. This is particularly critical for industries such as healthcare, finance, and government, where compliance with security standards is mandatory.
Isolation and Virtualization Security
SR-IOV and virtualization offloads provide secure isolation between tenants in cloud environments. This ensures that workloads remain protected from potential cross-tenant vulnerabilities.
High Performance Computing
In HPC environments, the MCX75310AAC-NEAT card enables rapid communication between compute nodes, reducing job completion times and enhancing scalability. Its RDMA support and low latency performance are critical for scientific simulations and research workloads.
Artificial Intelligence and Machine
AI and ML workloads benefit from the card’s high bandwidth and low latency, enabling faster training and inference. Integration with GPU servers ensures optimal performance in distributed training environments.
Cloud Data Centers
Cloud providers leverage the card’s virtualization and offload capabilities to deliver efficient multi-tenant services. Its crypto acceleration ensures secure communication across distributed cloud infrastructures.
Enterprise Applications
Enterprises deploying mission-critical applications benefit from the card’s secure, high-performance networking capabilities. Its compatibility with diverse operating systems and drivers ensures seamless integration into existing infrastructures.
Scalability
The MCX75310AAC-NEAT card is designed to scale with evolving workloads, supporting next-generation networking standards and protocols. Its PCIe Gen5 architecture ensures compatibility with future server platforms.
Versatility
By supporting both InfiniBand NDR and Ethernet 400GbE, the card offers versatility for hybrid infrastructures. This ensures adaptability to diverse deployment scenarios, from HPC clusters to cloud-native environments.
