Definition: High-performance server setups using multiple Nvidia GPUs for AI and data-intensive workloads.
Explanation
Nvidia GPU clusters are groups of servers equipped with multiple Nvidia graphics processing units (GPUs) interconnected to work together. These clusters provide massive parallel processing power essential for training large AI models, running complex simulations, and handling data-intensive tasks. They require substantial amounts of high-speed memory and storage to keep the GPUs fully utilized, often involving racks of high-density DRAM and ultra-fast SSDs.
Example
A data center running a large language model training job might deploy an Nvidia GPU cluster with hundreds of GPUs, supported by vast amounts of DDR5 RAM and NAND-based SSD storage, to accelerate computation and manage the enormous datasets involved.
Who This Is For
This term is relevant for AI researchers, data center operators, cloud service providers, and IT professionals involved in high-performance computing and machine learning infrastructure.
Related Terms
AI workloads, DRAM, SSD, data center, high-performance computing, machine learning, Nvidia GPUs
Also Known As
Nvidia GPU server clusters, Nvidia GPU farms, Nvidia GPU arrays