900-9X766-003N-SR0 Nvidia ConnectX-7 NDR-400GBE Crypto Enabled Adapter Card

Nvidia 900-9X766-003N-SR0 ConnectX-7 NDR-400GBE Adapter

The Nvidia 900‑9X766‑003N‑SR0 ConnectX‑7 NDR 400GbE adapter card delivers exceptional high‑bandwidth connectivity, advanced InfiniBand/Ethernet support, and secure cryptographic capabilities. Built for next‑generation data centers, this high‑performance interface card ensures ultra‑fast throughput and reliable operation in demanding enterprise and HPC environments.

General Details

• Manufacturer: NVIDIA
• Model Number: 900-9X766-003N-SR0
• Product Category: High‑speed network adapter card

Technical Information

Physical Specifications

• Form Factor: PCIe half‑height, half‑length
• Dimensions: 2.71 in × 6.6 in (68.90 mm × 167.65 mm)

Interface & Connectivity

• PCI Express Support: PCIe Gen 4.0 / Gen 5.0, SerDes 16/32 GT/s, x16 lanes (compatible with Gen 3.0)
• Network Port: Single OSFP supporting InfiniBand and Ethernet

Data Rate Capabilities

InfiniBand Speeds

• NDR / NDR200
• HDR / HDR100
• EDR
• FDR
• SDR

Ethernet Speeds

• 400 / 200 / 100 / 50 / 40 / 10 / 1 Gb/s Ethernet

InfiniBand Standards

• Compliant with IBTA v1.5a
• Auto‑negotiation for multiple lane configurations
• NDR: 4 lanes × 100 Gb/s per lane
• NDR200: 2 lanes × 100 Gb/s per lane
• HDR: 50 Gb/s per lane
• HDR100: 2 lanes × 50 Gb/s per lane
• EDR: 25 Gb/s per lane
• FDR: 14.0625 Gb/s per lane
• SDR: 1×/2×/4× at 2.5 Gb/s per lane

Ethernet Standards

• 400GAUI‑4 C2M, 400GBASE‑CR4
• 200GAUI‑4 C2M, 200GBASE‑CR4
• 100GAUI‑2 C2M, 100GBASE‑CR4 / CR2 / CR1
• 50GAUI‑2 C2M, 50GAUI‑1 C2M
• 50GBASE‑CR, 50GBASE‑R2
• 40GBASE‑CR4, 40GBASE‑R2
• 25GBASE‑R
• 10GBASE‑R, 10GBASE‑CX4
• 1000BASE‑CX
• CAUI‑4 C2M, 25GAUI C2M
• XLaui C2M, XLPPI, SFI

Advanced Capabilities

• Secure Boot enabled
• Crypto engine enabled for enhanced data protection

Electrical & Thermal Specifications

• Voltage Requirements: 12V, 3.3Vaux
• Maximum Current: 100 mA
• Typical Power Consumption: 25.9 W with passive cables in PCIe Gen 5.0 x16 mode

High-Performance Data Center Networking Adapter Overview

The Nvidia 900-9X766-003N-SR0 ConnectX-7 NDR-400GBE Crypto Enabled Adapter Card belongs to a premium category of ultra-high-speed data center networking solutions engineered for next-generation enterprise, cloud, hyperscale, and supercomputing environments. This category focuses on delivering extreme bandwidth, ultra-low latency, advanced security acceleration, and intelligent offload capabilities required by modern workloads such as artificial intelligence, machine learning, high-performance computing, financial trading, cloud-native applications, and large-scale storage fabrics. ConnectX-7 adapters represent a pivotal evolution in Ethernet and InfiniBand networking, aligning infrastructure with the exponential growth in data movement and compute density.

This category addresses the increasing imbalance between CPU performance and network throughput by offloading networking, security, and virtualization tasks directly to the adapter. By doing so, it enables CPUs and GPUs to focus on application-level processing while maintaining predictable performance at scale. The ConnectX-7 NDR-400GBE adapter exemplifies this approach by integrating advanced hardware engines that accelerate data transport, encryption, and protocol handling within a single high-bandwidth interface.

Next-Generation 400 Gigabit Ethernet Networking

The NDR-400GBE category represents the forefront of Ethernet performance, offering an aggregate bandwidth of up to 400 gigabits per second per adapter. This level of throughput is essential for environments where massive datasets must be transferred between compute nodes, storage systems, and accelerators with minimal latency. As data-intensive workloads grow in complexity, traditional 100GbE and 200GbE solutions increasingly become bottlenecks, making 400GbE a critical requirement for future-ready infrastructure.

ConnectX-7 adapters are designed to support advanced Ethernet features such as congestion control, adaptive routing, and quality of service mechanisms that maintain consistent performance even under heavy load. This category is optimized for east-west traffic patterns commonly found in data centers, where large volumes of data move laterally between servers rather than north-south to external networks.

Ultra-Low Latency and Deterministic Performance

Latency sensitivity is a defining characteristic of this networking category. The ConnectX-7 architecture minimizes packet processing delays through hardware-based acceleration and streamlined data paths. This results in deterministic latency behavior, which is critical for applications such as real-time analytics, financial trading platforms, and tightly coupled HPC workloads. Predictable latency ensures that performance remains consistent regardless of traffic volume or system scale.

The adapter’s ability to maintain low jitter across high-throughput data streams contributes to overall system stability and application reliability. In distributed computing environments, even small latency variations can compound across nodes, making the deterministic performance of this category a significant advantage.

Advanced Offload Capabilities and Intelligent Networking

The ConnectX-7 category emphasizes intelligent networking through extensive offload capabilities that reduce CPU overhead and improve system efficiency. By handling network protocol processing, virtualization, and security tasks directly on the adapter, this category enables higher application density per server and more efficient use of compute resources. This approach is particularly valuable in cloud and virtualized environments where maximizing performance per watt and per core is essential.

Offload engines integrated into the adapter support technologies such as Remote Direct Memory Access, advanced packet processing, and storage acceleration. These features enable zero-copy data transfers, reduce context switching, and minimize software overhead, resulting in faster data movement and lower CPU utilization.

RDMA and High-Performance Data Transport

Remote Direct Memory Access is a cornerstone of this category, allowing applications to bypass the operating system kernel and move data directly between system memory locations across the network. RDMA significantly reduces latency and CPU usage, making it ideal for high-performance computing, distributed databases, and AI training clusters. The ConnectX-7 adapter’s RDMA implementation supports large-scale deployments with consistent performance across thousands of nodes.

By enabling direct memory-to-memory transfers, RDMA improves scalability and efficiency, allowing infrastructure architects to build larger and more powerful clusters without proportional increases in overhead. This capability is essential for workloads that require rapid synchronization and data sharing between nodes.

GPU and Accelerator-Centric Networking

This category is specifically optimized for GPU-accelerated environments, where data must flow efficiently between GPUs, CPUs, and storage systems. ConnectX-7 adapters integrate seamlessly with Nvidia GPU platforms, enabling high-speed communication that supports AI training, inference, and large-scale simulation workloads. The close coupling between networking and acceleration reduces data transfer bottlenecks and improves overall system throughput.

In multi-GPU and multi-node configurations, efficient networking is critical to maintaining linear performance scaling. The ConnectX-7 category ensures that network performance keeps pace with compute advancements, preventing the network from becoming a limiting factor.

Integrated Cryptographic Acceleration and Security

The crypto-enabled nature of the Nvidia 900-9X766-003N-SR0 adapter defines a specialized subcategory focused on secure high-speed networking. As data security becomes increasingly important in enterprise and cloud environments, networking hardware must provide robust encryption without sacrificing performance. This category integrates hardware-based cryptographic engines capable of encrypting and decrypting data streams at full line rate.

By offloading cryptographic operations from the CPU, the adapter ensures that secure data transport does not introduce latency or reduce throughput. This is particularly important for environments handling sensitive data, such as financial services, healthcare systems, and government infrastructure.

Inline Encryption and Secure Data Transport

Inline encryption capabilities allow data to be protected as it traverses the network, ensuring confidentiality and integrity without requiring additional software layers. This approach simplifies security architecture while maintaining high performance. The ConnectX-7 crypto-enabled category supports modern encryption standards and protocols, aligning with regulatory and compliance requirements.

Hardware-based encryption also reduces the risk of performance degradation under heavy load, making it suitable for environments where security and speed are equally critical. Secure multi-tenant cloud platforms benefit significantly from this capability, as it enables isolation and protection of customer data at scale.

Scalability Hyperscale and Cloud

The ConnectX-7 NDR-400GBE adapter category is designed to scale efficiently in hyperscale and cloud data centers. These environments demand consistent performance across thousands of servers, each handling massive volumes of east-west traffic. The adapter’s architecture supports high port density, efficient resource utilization, and advanced traffic management to maintain performance at scale.

Scalability in this category is achieved through a combination of high bandwidth, intelligent congestion control, and seamless integration with software-defined networking frameworks. This enables cloud providers to dynamically allocate network resources while maintaining predictable performance for end users.

Virtualization and Multi-Tenant Optimization

Virtualized environments place unique demands on networking infrastructure, requiring isolation, fairness, and performance consistency across tenants. The ConnectX-7 category supports advanced virtualization features that enable efficient sharing of network resources without compromising security or performance. Hardware-assisted virtualization reduces overhead and ensures that virtual machines and containers receive consistent network performance.

This capability is essential for cloud-native architectures, where workloads are highly dynamic and resource allocation must adapt in real time. By offloading virtualization functions to the adapter, the category improves efficiency and reduces the burden on host CPUs.

Software-Defined Networking Integration

Modern data centers increasingly rely on software-defined networking to manage complex traffic patterns and optimize resource utilization. The ConnectX-7 category is designed to integrate seamlessly with SDN frameworks, providing programmable interfaces and telemetry that enable fine-grained control over network behavior. This integration allows operators to automate network configuration, monitor performance, and respond quickly to changing workload demands.

Programmability enhances flexibility and future-proofs infrastructure by allowing new features and optimizations to be deployed through software updates rather than hardware replacements.

High-Performance Computing and AI Cluster Enablement

The NDR-400GBE networking category is a foundational component for high-performance computing and AI clusters, where communication speed and reliability directly impact application performance. Large-scale simulations, AI model training, and data analytics workloads require rapid synchronization and data exchange between nodes. ConnectX-7 adapters provide the bandwidth and low latency necessary to support these demanding workloads.

By enabling efficient collective operations and reducing communication overhead, this category helps maximize the utilization of expensive compute resources. Faster interconnects lead to shorter training times, quicker simulation results, and improved overall productivity.

Collective Communication Optimization

Collective communication operations such as broadcast, reduce, and all-to-all are common in HPC and AI workloads. The ConnectX-7 category accelerates these operations through hardware support, reducing latency and improving scalability. This is particularly important in large clusters where communication overhead can dominate total execution time.

Optimized collective communication enables better scaling efficiency, allowing organizations to achieve greater performance gains as clusters grow in size.

Resilience and Fault Tolerance

Large-scale clusters require robust fault tolerance to maintain availability and performance in the face of hardware failures. The ConnectX-7 networking category incorporates features that support rapid failover, error detection, and recovery mechanisms. These capabilities minimize disruption and ensure that workloads can continue executing even when individual components fail.

Resilience is especially critical in long-running simulations and training jobs, where interruptions can result in significant time and resource losses.

Enterprise Storage and Data Fabric Acceleration

Enterprise storage architectures increasingly rely on high-speed networking to connect compute nodes with distributed storage systems. The ConnectX-7 NDR-400GBE category accelerates storage traffic by providing low-latency, high-bandwidth connections that improve I/O performance and reduce access times. This is essential for applications that depend on rapid data retrieval and processing.

By supporting advanced storage protocols and offload capabilities, this category enables more efficient data movement between storage and compute layers. This results in improved application responsiveness and higher overall system throughput.

Composable Infrastructure and Data Fabrics

Composable infrastructure models depend on flexible, high-performance networks to dynamically connect resources as needed. The ConnectX-7 category supports this approach by providing the bandwidth and programmability required to build scalable data fabrics. These fabrics enable rapid reconfiguration of resources, improving agility and reducing infrastructure costs.

High-speed networking is a key enabler of composable architectures, allowing organizations to adapt quickly to changing workload requirements.

Consistency and Predictable Performance

Predictable performance is critical in enterprise environments where service-level agreements must be met. The ConnectX-7 networking category delivers consistent throughput and latency characteristics, ensuring that storage and application performance remain stable under varying load conditions. This predictability simplifies capacity planning and performance management.

Future-Ready Networking Foundation

The Nvidia 900-9X766-003N-SR0 ConnectX-7 NDR-400GBE Crypto Enabled Adapter Card represents a future-ready networking category designed to support emerging technologies and evolving workloads. With its combination of extreme bandwidth, intelligent offload, integrated security, and scalability, this category provides a solid foundation for next-generation data centers. As data volumes continue to grow and applications become more distributed, high-performance networking adapters like ConnectX-7 will remain essential components of modern digital infrastructure.