Mellanox
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Mellanox MQM8790-HS2R Quantum HDR InfiniBand Switch – 40 Port – QSFP56 – C2P Airflow – Rail Kit
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**Mellanox MQM8790-HS2R Quantum HDR InfiniBand Switch – 40 Port – QSFP56 – C2P Airflow – Rail Kit**
A high-performance 40-port InfiniBand switch delivering 200Gb/s per port via QSFP56, optimized for ultra-low latency and massive data throughput in HPC, AI, and cloud environments. Features C2P airflow for efficient cooling, adaptive routing for load balancing, and seamless scalability. Includes a rail kit for easy rack installation. Ideal for demanding workloads requiring unmatched speed, reliability, and energy efficiency in data-intensive applications. -
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Mellanox MQM9790-NS2R Quantum 2 NDR InfiniBand Switch
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The Mellanox MQM9790-NS2R Quantum 2 NDR InfiniBand Switch delivers ultra-high performance with 400Gb/s per port, 64-port density, and ultra-low latency for AI, HPC, and cloud workloads. Key features include seamless scalability (14,000+ nodes in a single subnet), adaptive routing, advanced congestion control, and end-to-end encryption for robust security. Its energy-efficient design reduces operational costs, while backward compatibility ensures integration with existing infrastructure. USP: Unmatched speed, scalability, and reliability for data-intensive applications, positioning it as the premier choice for next-gen data centers.
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Mellanox MQM9700-NS2R NVIDIA Quantum-2 QM9700 switch 32 ports smart rack-mountable
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**NVIDIA Quantum-2 QM9700 Switch (MQM9700-NS2R)**
A high-performance, 32-port 400GbE InfiniBand switch designed for AI, HPC, and hyperscale data centers. Delivers ultra-low latency, 12.8 Tbps throughput, and scalability for demanding workloads. Features NVIDIA’s Quantum-2 platform with in-network computing (SHARP) to accelerate AI training and reduce data movement. Optimized for GPU-driven environments with GPUDirect support, enhancing efficiency for distributed systems. Rack-mountable, energy-efficient design with advanced security and cloud-native orchestration. Uniquely integrates with NVIDIA’s full stack (GPUs, DPUs, software) for end-to-end AI infrastructure optimization. Ideal for accelerating large-scale AI clusters and data-intensive applications.



