JW96X Dell NVIDIA ConnectX-7 1 Port 200Gb NDR InfiniBand OSFP Adapter

Overview of Dell JW96X NVIDIA ConnectX-7 1-Port OSFP Adapter

The Dell JW96X NVIDIA ConnectX-7 adapter is engineered for ultra-fast connectivity, delivering 200Gb/s NDR InfiniBand and 400GbE Ethernet performance. With a full-height bracket and optical fiber support, this device ensures reliable data transmission for enterprise-grade workloads.

General Information

• Manufacturer: Dell
• Part Number: JW96X
• Category: High-speed network adapter

Network Controller

• NVIDIA ConnectX-7 (CX75210AA) chipset
• Advanced architecture for low latency and high throughput

Port Configuration

• Single port design for streamlined connectivity
• Supports 200Gb/s NDR InfiniBand and 400GbE Ethernet

Connectivity & Interface

• Host Interface: PCI Express 5.0 x16
• Expansion Slot Type: OSFP (Octal Small Form-factor Pluggable)
• Media Type: Optical Fiber for high-speed data transfer

Form Factor & Design

• Card Type: Standup plug-in card
• Bracket Height: Full-Height (FH) for compatibility with enterprise servers
• Cooling: Passive heatsink for efficient thermal management

Data Center Performance

• Optimized for HPC (High-Performance Computing) environments
• Supports demanding workloads with minimal latency

Enterprise Networking

• Ideal for large-scale cloud deployments
• Ensures secure and reliable connectivity

Scalable Infrastructure

• Future-ready with PCIe Gen5 support
• Expandable design for evolving IT requirements

Performance Benefits

• Delivers ultra-fast 200Gb/s InfiniBand speeds
• Supports dual-mode operation with 400GbE Ethernet

Reliability

• Passive cooling ensures consistent operation
• Enterprise-grade durability from Dell

Dell JW96X NVIDIA ConnectX-7 200Gb NDR InfiniBand Adapter

The Dell JW96X NVIDIA ConnectX-7 Single Port 200Gb NDR InfiniBand OSFP Adapter with Full-Height Bracket is engineered for ultra-high-performance computing environments, artificial intelligence infrastructures, hyperscale data centers, enterprise analytics platforms, and next-generation cloud networking deployments. As enterprise workloads continue evolving toward increasingly data-intensive and distributed computing models, organizations require networking solutions capable of supporting extremely low latency, massive bandwidth throughput, and scalable interconnect performance. The NVIDIA ConnectX-7 architecture addresses these requirements with advanced 200Gb NDR InfiniBand technology optimized for modern compute-intensive workloads.

Modern high-performance computing environments generate enormous quantities of east-west traffic between servers, accelerators, storage systems, and distributed processing clusters. Traditional Ethernet networking architectures often struggle to meet the latency and throughput requirements associated with artificial intelligence training, scientific simulations, machine learning inference, financial analytics, and large-scale research workloads. The Dell JW96X ConnectX-7 adapter provides a high-speed InfiniBand solution specifically designed to eliminate bottlenecks and maximize computational efficiency across distributed infrastructures.

The NVIDIA ConnectX-7 platform integrates advanced network acceleration technologies, intelligent packet processing capabilities, and ultra-low-latency communication mechanisms optimized for modern GPU-accelerated and CPU-intensive computing environments. With a single-port 200Gb NDR InfiniBand interface and OSFP connectivity, the adapter delivers scalable high-bandwidth communication for demanding enterprise and research applications.

High-performance computing clusters, AI supercomputers, cloud service providers, and enterprise analytics environments increasingly rely on InfiniBand networking because of its superior throughput efficiency and reduced communication latency. The Dell JW96X adapter supports these requirements through enterprise-grade design, advanced transport acceleration, and optimized infrastructure scalability.

Advanced NVIDIA ConnectX-7 Networking Technology

The NVIDIA ConnectX-7 architecture represents a significant advancement in high-performance networking technology designed specifically for modern data center and supercomputing infrastructures. As computational workloads continue becoming more distributed and data intensive, traditional networking solutions frequently introduce communication delays that negatively affect overall application performance.

ConnectX-7 technology addresses these challenges through advanced packet acceleration, intelligent transport optimization, and direct communication mechanisms capable of minimizing latency between interconnected systems. These capabilities improve workload efficiency across distributed compute clusters while supporting massive parallel processing environments.

The adapter is optimized for GPU-centric architectures commonly deployed in artificial intelligence, deep learning, and scientific research environments. By accelerating communication between compute nodes and reducing overhead associated with data movement, the ConnectX-7 platform helps organizations maximize infrastructure utilization and improve workload scalability.

Enterprise-Class High-Performance Interconnect Design

Enterprise high-performance computing environments require reliable interconnect technologies capable of sustaining continuous high-bandwidth communication under demanding operational conditions. The Dell JW96X NVIDIA ConnectX-7 adapter is engineered to provide stable performance across large-scale infrastructures where downtime and communication inefficiencies can significantly impact business operations and research productivity.

Modern enterprise analytics platforms, simulation clusters, and cloud-native processing environments frequently require low-latency communication between thousands of interconnected systems. The ConnectX-7 architecture supports these environments with scalable transport performance and advanced networking acceleration features.

The adapter also enables efficient infrastructure expansion by supporting modular high-speed connectivity optimized for large-scale cluster deployments and distributed computing environments.

200Gb NDR InfiniBand Performance and Throughput

Ultra-High-Speed Networking Capabilities

The Dell JW96X NVIDIA ConnectX-7 adapter supports 200Gb NDR InfiniBand connectivity, delivering extremely high bandwidth for demanding computational workloads and enterprise networking environments. NDR InfiniBand technology significantly improves throughput compared to earlier-generation interconnect standards, enabling rapid communication between servers, accelerators, storage platforms, and distributed applications.

Modern artificial intelligence training environments and high-performance computing clusters process enormous datasets requiring continuous communication across multiple compute nodes. High-bandwidth networking is essential for maintaining computational efficiency and minimizing processing delays associated with data movement.

The 200Gb throughput capability enables organizations to support increasingly complex workloads such as deep learning model training, large-scale simulation processing, financial risk analysis, and real-time scientific research operations. Faster communication between compute resources contributes directly to improved workload scalability and reduced processing times.

Reduced Network Bottlenecks in Distributed Computing

Distributed computing environments rely heavily on efficient communication between interconnected systems. Network bottlenecks can significantly reduce overall application performance, particularly in workloads involving parallel processing and synchronized data exchange.

The ConnectX-7 adapter minimizes bottlenecks through advanced transport acceleration and high-bandwidth InfiniBand communication optimized for distributed infrastructures. This enables compute clusters to maintain consistent throughput while supporting simultaneous communication across multiple nodes.

Organizations operating large-scale AI environments and scientific computing clusters benefit from improved workload coordination and faster inter-node communication enabled by NDR InfiniBand networking technology.

Optimized Throughput for Data-Intensive Applications

Data-intensive enterprise applications frequently involve transferring massive datasets between compute resources, storage systems, and accelerator hardware. Efficient throughput is essential for maintaining application responsiveness and maximizing infrastructure productivity.

The Dell JW96X ConnectX-7 adapter supports rapid data movement across enterprise environments, enabling more efficient processing for analytics platforms, distributed databases, rendering systems, and machine learning infrastructures.

NDR InfiniBand Networking for Artificial Intelligence Infrastructure

AI and Deep Learning Cluster Optimization

Artificial intelligence and deep learning infrastructures require networking technologies capable of supporting extremely high throughput with minimal communication latency. AI training clusters frequently involve multiple GPUs and distributed compute nodes processing synchronized workloads across shared datasets.

The NVIDIA ConnectX-7 adapter is specifically optimized for these environments through advanced GPU-aware networking capabilities and ultra-low-latency transport acceleration. Efficient communication between AI compute nodes helps reduce training times and improve infrastructure scalability.

Modern generative AI environments and large language model training systems rely heavily on rapid data synchronization across distributed processing architectures. The 200Gb NDR InfiniBand connectivity of the ConnectX-7 platform supports these workloads with enterprise-grade networking performance.

GPU-to-GPU Communication Acceleration

GPU-accelerated infrastructures require efficient communication pathways between accelerator devices to maximize parallel processing efficiency. Network latency can significantly impact AI workload performance, particularly in distributed training scenarios involving multiple GPUs across different servers.

The Dell JW96X adapter enables accelerated GPU communication through advanced transport optimization and high-speed InfiniBand connectivity. These capabilities improve synchronization efficiency and reduce communication overhead during large-scale AI operations.

Organizations deploying NVIDIA GPU clusters for machine learning, scientific analysis, and predictive modeling benefit significantly from networking architectures optimized specifically for accelerator-based computing environments.

Scalable AI Infrastructure Expansion

Artificial intelligence environments continue growing in scale as organizations process increasingly complex models and larger datasets. Scalable networking infrastructure is essential for supporting future expansion while maintaining performance consistency.

The ConnectX-7 architecture enables scalable AI cluster growth through high-bandwidth communication and modular deployment flexibility. Enterprises can expand distributed AI environments efficiently while preserving low-latency interconnect performance across growing infrastructures.

OSFP Connectivity and High-Density Infrastructure Deployment

OSFP Interface Advantages

The Dell JW96X NVIDIA ConnectX-7 adapter utilizes an OSFP interface designed for next-generation high-speed networking environments. OSFP technology supports extremely high bandwidth densities while maintaining efficient thermal management and signal integrity in enterprise data center deployments.

Modern high-performance networking infrastructures require compact interconnect solutions capable of supporting dense server deployments and large-scale compute clusters. OSFP connectivity enables organizations to maximize networking density while maintaining reliable communication performance.

The compact interface design also contributes to more efficient cable management and improved airflow within high-density server environments, supporting overall infrastructure reliability and operational efficiency.

Enterprise Data Center Scalability

Enterprise and hyperscale data centers increasingly prioritize high-density infrastructure deployment to optimize rack utilization and reduce operational costs. High-bandwidth adapters such as the ConnectX-7 support these objectives through scalable networking architecture and compact interface technology.

The adapter’s OSFP connectivity enables efficient integration into modern data center infrastructures requiring large-scale interconnect density for distributed compute environments, AI clusters, and cloud-native platforms.

Efficient high-density networking also improves infrastructure flexibility by supporting rapid deployment of additional compute resources without extensive redesign of existing network architectures.

Signal Integrity and Thermal Optimization

High-speed networking environments require stable signal transmission and efficient thermal management to maintain consistent operational performance. The ConnectX-7 platform incorporates advanced design technologies optimized for reliable communication under demanding enterprise workloads.

Improved signal integrity helps minimize transmission errors and communication instability across large-scale infrastructures, while efficient thermal characteristics contribute to long-term hardware reliability and operational consistency.

High-Performance Computing and Scientific Research Applications

Support for HPC Cluster Environments

High-performance computing environments rely on low-latency communication and scalable bandwidth to support scientific simulations, engineering analysis, genomic research, and advanced computational modeling. The Dell JW96X ConnectX-7 adapter is engineered specifically for these demanding workloads.

HPC clusters frequently process synchronized tasks across thousands of compute cores requiring rapid communication between interconnected systems. Network inefficiencies can significantly reduce overall computational throughput and increase processing times.

The 200Gb NDR InfiniBand architecture of the ConnectX-7 adapter minimizes communication overhead while supporting efficient workload coordination across distributed compute clusters.

Scientific Simulation and Research Acceleration

Scientific research organizations frequently operate large-scale simulations involving climate modeling, molecular dynamics, fluid mechanics, and astrophysics calculations. These workloads generate enormous quantities of inter-node communication requiring extremely efficient networking infrastructures.

The NVIDIA ConnectX-7 adapter accelerates scientific research environments through ultra-low-latency communication and high-throughput data movement capabilities. Improved communication efficiency contributes directly to faster simulation completion and enhanced research productivity.

Universities, government laboratories, and enterprise research facilities benefit from scalable InfiniBand networking optimized for advanced computational workloads.

Cloud Computing and Hyperscale Infrastructure Integration

Hyperscale Cloud Networking

Hyperscale cloud providers operate enormous distributed infrastructures supporting millions of simultaneous workloads across interconnected compute environments. Efficient networking becomes critical for maintaining scalability, workload mobility, and infrastructure responsiveness.

The Dell JW96X NVIDIA ConnectX-7 adapter supports hyperscale environments with high-bandwidth InfiniBand communication optimized for large-scale distributed processing architectures. These capabilities help cloud providers improve resource utilization and application performance.

Cloud-native applications frequently generate continuous east-west traffic requiring scalable low-latency networking solutions capable of supporting dynamic workload orchestration and rapid data synchronization.

Virtualization and Containerized Workloads

Modern enterprise virtualization platforms and container orchestration environments depend heavily on efficient networking infrastructure to maintain application scalability and workload responsiveness.

The ConnectX-7 platform supports virtualized infrastructures through advanced transport acceleration and intelligent communication optimization designed for distributed application environments.

Containerized workloads and microservices architectures benefit from low-latency networking because rapid communication between distributed application components is essential for maintaining operational efficiency.

Distributed Storage and Data Platform Support

Distributed storage systems frequently involve synchronized communication between multiple storage nodes and compute resources. High-speed networking is essential for maintaining efficient data movement and minimizing storage access latency.

The NVIDIA ConnectX-7 adapter accelerates distributed storage environments through scalable throughput and efficient communication architecture optimized for enterprise storage networking workloads.

Advanced Networking Acceleration and RDMA Technology

Remote Direct Memory Access Optimization

Remote Direct Memory Access technology enables systems to exchange data directly between memory resources without extensive CPU involvement. RDMA significantly reduces latency and improves communication efficiency in high-performance computing environments.

The Dell JW96X ConnectX-7 adapter incorporates advanced RDMA capabilities optimized for distributed computing, AI training clusters, and enterprise analytics environments. Reduced CPU overhead improves infrastructure efficiency while supporting faster application communication.

Organizations deploying distributed databases, AI platforms, and virtualization clusters benefit from RDMA acceleration because it minimizes communication bottlenecks and improves workload scalability.

Intelligent Packet Processing and Transport Acceleration

Modern networking environments require advanced packet processing technologies capable of handling extremely high traffic volumes without introducing excessive latency. The ConnectX-7 architecture accelerates packet processing through intelligent transport optimization and hardware-based communication acceleration.

Efficient transport acceleration helps reduce communication overhead while supporting stable throughput across distributed enterprise environments. These capabilities contribute to improved workload coordination and enhanced infrastructure responsiveness.

The adapter also supports advanced congestion management and traffic optimization technologies designed for large-scale compute clusters and hyperscale networking environments.

Infrastructure Efficiency and Resource Optimization

Enterprise organizations increasingly prioritize infrastructure efficiency to reduce operational costs and improve resource utilization across large-scale environments. Advanced networking acceleration technologies help maximize compute productivity while minimizing communication overhead.

The Dell JW96X ConnectX-7 adapter contributes to more efficient infrastructure operation through scalable bandwidth, intelligent packet processing, and low-latency communication architecture.

Enterprise Deployment Flexibility and Full-Height Bracket Design

Full-Height Bracket Compatibility

The Dell JW96X NVIDIA ConnectX-7 adapter includes a full-height bracket designed for compatibility with enterprise servers, high-performance workstations, and rack-mounted compute platforms commonly deployed in data centers and research environments.

Full-height bracket configurations provide stable hardware installation within enterprise server environments while supporting efficient airflow and cable management. This contributes to improved operational reliability and simplified infrastructure maintenance.

Enterprise organizations deploying standardized rack architectures benefit from hardware compatibility optimized for high-density server deployments and scalable compute infrastructures.

Flexible Infrastructure Deployment

Modern enterprise environments frequently require flexible deployment options capable of supporting diverse workload types and evolving infrastructure requirements. The ConnectX-7 adapter supports deployment across AI clusters, HPC environments, cloud infrastructures, and enterprise analytics platforms.

The adapter’s scalable networking architecture allows organizations to integrate high-speed InfiniBand connectivity into existing infrastructures while preparing for future workload expansion and modernization initiatives.

Deployment flexibility also simplifies infrastructure planning by enabling organizations to standardize high-performance networking technologies across multiple operational environments.

Future-Ready High-Speed Networking Infrastructure

Enterprise workloads continue evolving toward increasingly distributed and data-intensive architectures requiring scalable high-bandwidth interconnect solutions. The Dell JW96X NVIDIA ConnectX-7 Single Port 200Gb NDR InfiniBand OSFP Adapter provides future-ready networking performance optimized for modern AI, HPC, cloud, and enterprise computing environments.

Its combination of 200Gb NDR InfiniBand throughput, advanced transport acceleration, OSFP connectivity, RDMA optimization, and enterprise deployment flexibility makes it an ideal solution for organizations building next-generation high-performance computing infrastructures.

Scalable NVIDIA ConnectX-7 Networking for AI and HPC Environments

The Dell JW96X NVIDIA ConnectX-7 Single Port 200Gb NDR InfiniBand OSFP Adapter with Full-Height Bracket delivers enterprise-class networking performance for artificial intelligence platforms, hyperscale cloud environments, scientific computing infrastructures, and distributed enterprise workloads. Its ultra-high-speed communication architecture supports scalable compute environments requiring low latency, massive bandwidth throughput, and efficient workload coordination.

As enterprise organizations continue deploying increasingly advanced AI models, distributed applications, and data-intensive computing platforms, high-performance interconnect technologies such as the NVIDIA ConnectX-7 become essential components of scalable, resilient, and future-ready digital infrastructure architectures.