A GPU cluster is a group of interconnected computers or servers that contain multiple Graphics Processing Units (GPUs) and work together to handle demanding computational tasks. By combining the processing power of many GPUs, a cluster can perform large numbers of calculations simultaneously and complete workloads much faster than a single GPU system.
GPU clusters are commonly used for artificial intelligence, machine learning, scientific research, high-performance computing, simulations, and large-scale data processing. Tasks can be divided among multiple GPUs, allowing the workload to be processed in parallel. This approach is especially useful for training complex AI models and running computationally intensive applications. The cluster’s performance depends on factors such as the number of GPUs, memory capacity, communication speed, and how efficiently workloads are distributed.
