What is a GPU Cluster?

A GPU Cluster is a collection of graphics processing units (GPUs) networked together to work as a unified computing system, primarily used for training large AI models or running inference at scale.

GPU clusters provide the massive parallel computing power needed for training large language models, processing big datasets, and serving AI applications to many users simultaneously.

GPU clusters work by distributing computational tasks across multiple GPUs, which can process many operations simultaneously due to their parallel architecture, dramatically speeding up AI training and inference compared to traditional CPUs.

OpenAI's training infrastructure uses GPU clusters with thousands of connected GPUs to train models like GPT-4, enabling the processing of massive datasets and complex neural network architectures.

Connected to High-Performance Computing, Distributed Computing, AI Infrastructure, Parallel Processing, and Cloud Computing platforms.