Artificial Intelligence (AI) and Deep Learning (DL) are creating the toughest workloads in modern computing history. They pose exceptional challenges to and put significant strain on compute, storage and network resources. Legacy file storage technologies and protocols like NFS starve AI workloads of data, slowing down applications and hindering business innovation. A true AI-enabled datacenter must concurrently and efficiently service the entire spectrum of activities involved in DL workflows, including data ingest, data curation, training, inference, validation and simulation.

Engineered from the ground-up for the AI-enabled data center, DDN’s A³I (Accelerated, Any-Scale AI) shared parallel architecture solutions breaks new ground for AI, and DL and fully-integrates with solutions such as the NVIDIA® DGX-1™. This guide outlines how DDN’s A³I solutions with NVIDIA DGX-1 provides acceleration for AI applications, streamlines DL workflows, and delivers performance and efficiency for full GPU saturation and high levels of scalability.