Mellanox Quantum HDR InfiniBand Switch 40x QSFP56 Ports

• AI deep learning and large-scale model training clusters
• High-performance computing (HPC) scientific simulations
• Supercomputing research environments and national labs
• GPU-based distributed training infrastructure
• Big data analytics and parallel processing systems
• Genomics and life sciences computational research
• Financial risk modeling and quantitative analysis systems
• Cloud HPC and hybrid compute fabric deployments
• Engineering simulation workloads including CFD and FEA
• Enterprise AI infrastructure and machine learning pipelines

• 40x QSFP56 high-speed InfiniBand port architecture for scalable compute fabrics
• HDR InfiniBand technology enabling ultra-high bandwidth interconnect performance
• Optimized for GPU-to-GPU and node-to-node communication in AI clusters
• Ultra-low latency switching designed for tightly coupled HPC workloads
• Supports large-scale parallel computing environments and distributed workloads
• High-throughput fabric enabling efficient AI training and inference pipelines
• Designed for deterministic network performance in mission-critical workloads
• Enables scalable spine-leaf and fat-tree HPC architectures
• Reduces communication bottlenecks in distributed compute clusters

• Brand: Mellanox NVIDIA
• Part Number: MQM8510-H+
• Switch Type: InfiniBand HDR Switch
• Port Configuration: 40 x QSFP56 ports
• Technology: HDR InfiniBand
• Primary Application: HPC, AI, Supercomputing, Distributed Computing
• Network Architecture: Fat-tree / Spine-leaf HPC fabric
• Latency Profile: Ultra-low latency optimized for compute clusters
• Bandwidth Class: High-throughput HDR interconnect
• Deployment Environment: Data center / Research / AI cluster infrastructure
• Workload Type: Parallel computing and distributed workloads
• Target Systems: GPU clusters, HPC nodes, AI training farms
• Operational Mode: Continuous high-performance compute fabric

WHY CHOOSE THIS PRODUCT?

• Organizations choose MQM8510-H+ for its ability to deliver predictable ultra-low latency performance in tightly coupled HPC and AI environments
• It enables faster model training and simulation cycles by improving inter-node communication efficiency
• Compared to standard Ethernet switching, it provides superior bandwidth utilization and reduced synchronization delays in compute clusters
• It supports scalable deployment across evolving HPC and AI infrastructure without redesigning the entire compute fabric
• It delivers strong long-term ROI by accelerating research output, reducing compute time, and improving infrastructure utilization efficiency