NVIDIA DGX On-Prem Deployment Services Overview

This document is a case study detailing AMAX's NVIDIA DGX on-prem deployment services. It outlines the challenges faced by a generative AI company that relied on cloud GPUs, including rising costs and limited availability. The case study describes how AMAX facilitated the transition to on-prem NVIDIA DGX systems, which resulted in reduced total cost of ownership (TCO) and exclusive compute access. It explains the phased approach taken by the company, starting with a small deployment and gradually expanding their DGX infrastructure to meet increasing demand. The document further details the optimization strategies employed by AMAX to ensure cost efficiency and scalability. It emphasizes the importance of having a future-proof AI infrastructure that provides the performance and control necessary for ongoing growth. The case study serves as a practical example of the benefits of on-prem deployment in the context of AI workloads.