GPU Clusters consist of multiple high-performance server nodes interconnected to work as a unified computational resource for distributed deep learning. By leveraging technologies like NVIDIA NVLink and InfiniBand, these clusters allow massive AI models to be partitioned across hundreds or thousands of GPUs simultaneously. This parallel processing capability is the primary requirement for reducing the training time of Large Language Models (LLMs) from months to days.