Overview

This documentation is part of NVIDIA DGX BasePOD: Deployment Guide Featuring NVIDIA DGX A100 Systems.

Artificial intelligence (AI) infrastructure requires significant compute resources to train the latest state-of-the-art models efficiently, often requiring multiple nodes running in a distributed cluster.

While cloud computing provides an easy on-ramp to train AI models, many enterprises require an on-premises data center for a variety of technical or business reasons.

Building AI infrastructure on-premises can be a complex and confusing process. Careful planning and coordination will make the cluster deployment and the job of the cluster administrators tasked with the day-to-day operations easier.

NVIDIA DGX BasePOD™ provides the underlying infrastructure and software to accelerate deployment and execution of these new AI workloads. By building upon the success of NVIDIA DGX™ systems, DGX BasePOD is a prescriptive AI infrastructure for enterprises, eliminating the design challenges, lengthy deployment cycle, and management complexity traditionally associated with scaling AI infrastructure.

The DGX BasePOD is built upon NVIDIA DGX A100 systems, which offer unprecedented compute performance with eight NVIDIA A100 Tensor Core GPUs connected with NVIDIA NVLink® and NVIDIA NVSwitch™ technologies for fast inter-GPU communication.

Powered by NVIDIA Base Command™, DGX BasePOD provides the essential foundation for AI development optimized for the enterprise.