Description
Description:
The Mellanox QM8790 MQM8700-HS2F Quantum HDR Switch is a next-generation InfiniBand switch that pushes the boundaries of network performance, designed to meet the needs of high-performance computing (HPC), AI/ML workloads, and data center applications. Built with HDR (High Data Rate) InfiniBand technology, this switch supports ultra-fast data rates, providing low-latency, high-throughput connectivity to accelerate performance in large-scale environments. Its advanced Quantum HDR capabilities make it perfect for interconnecting compute nodes, storage systems, and accelerators with precision, offering high scalability and reliability in data-heavy, mission-critical applications. Whether you're driving complex simulations, AI models, or big data analytics, the QM8790 MQM8700-HS2F ensures that your network can handle the most demanding tasks with ease and efficiency.
Key Features:
HDR (High Data Rate) InfiniBand: Delivers up to 200Gb/s per port, providing fast, low-latency connectivity crucial for high-performance applications.
Quantum HDR Technology: Ideal for interconnecting complex and large-scale systems, enabling high-bandwidth, low-latency communication for mission-critical tasks.
Scalability for HPC & AI Workloads: Easily scales to support large compute clusters, supercomputers, and AI/ML systems, delivering optimal performance across interconnected nodes.
Designed for Data Centers: Perfect for cloud, AI, and data center environments, enhancing network efficiency and performance in real-time data analytics and computational tasks.
High Reliability: Built to handle heavy workloads with high uptime and redundant features to ensure continuous operation in demanding environments.
Energy-Efficient: Designed with low power consumption while maintaining high performance, helping reduce operational costs in large-scale deployments.
Optimized for Quantum and HPC Applications: Supports precision computing for specialized industries such as quantum computing, scientific simulations, and AI training.
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