Definition: A group of interconnected GPUs working together to perform parallel processing tasks.
Explanation
A GPU cluster is a collection of multiple graphics processing units (GPUs) connected and coordinated to work as a single system. These clusters are designed to handle highly parallel workloads, such as AI training, scientific simulations, and large-scale data processing. By distributing tasks across many GPUs, a cluster can achieve significantly higher throughput and efficiency than a single GPU alone.
Example
In AI infrastructure, a GPU cluster might consist of hundreds or thousands of GPUs working in parallel to train complex machine learning models, ensuring data is processed quickly and efficiently without bottlenecks.
Who This Is For
GPU clusters are primarily used by data scientists, AI researchers, and engineers who require massive computational power for tasks like deep learning, scientific computing, and large-scale simulations.
Related Terms
High Bandwidth Memory, High Bandwidth Flash, NVMe, PCIe Gen5, AI infrastructure
Also Known As
GPU farm, GPU array