An AI Accelerator Cluster is a group of interconnected computing systems equipped with specialized AI processors that work together to handle demanding machine learning workloads. By combining processing capacity, high-speed networking, and shared resources, the cluster can train complex models and run large-scale AI inference efficiently.
These clusters are particularly valuable for applications requiring massive parallel processing, such as generative AI, scientific computing, large-scale computer vision, and enterprise analytics. They are commonly built using GPUs, TPUs, NPUs, high-speed interconnects, and distributed computing frameworks. Related terms include AI Accelerator, GPU Cluster, AI Infrastructure, and Distributed AI.
