What is an AI compute cluster?An AI cluster is a network of interconnected computing resources that work together as a unified system to handle AI workloads.
AI compute clusters are specialized and heavily optimized for the massive parallel processing needed to train and run complex AI and machine learning models. They consist of multiple nodes (servers) equipped with processors, GPUs, memory, and storage. This compute cluster collectively provides the computational power required for training and deploying AI models. These AI clusters are connected via high-speed networks that enable efficient data transfer between nodes. As AI models grow in size and complexity, the interconnect bandwidth between nodes becomes increasingly critical. The traditional electrical interconnects often used for a compute cluster face limitations in bandwidth density and distance, while optical interconnect solutions can provide higher bandwidth, lower latency, and greater scalability needed by compute clusters for large-scale AI workloads. The performance of an AI compute cluster is typically measured in FLOPS (floating-point operations per second).
AI cluster networking example
Source: QSFPTEK
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