The deployment of a pre-engineered, integrated solution like HPE Private Cloud AI with NVIDIA is based on a specific, validated design. The very first step in the implementation process is to ensure that all procured hardware and software components precisely match the Bill of Materials (BOM) specified in the official Reference Architecture (RA). This validation step is critical to guarantee system compatibility, stability, and performance as designed. It precedes any physical installation, software configuration, or performance testing.

A. Install AI frameworks directly: AI frameworks are installed near the end of the process, after the underlying hardware, operating system, Kubernetes, and NVIDIA AI Enterprise software stack are fully deployed and configured.

C. Configure Kubernetes first: Kubernetes is a software layer that is configured only after the physical servers have been racked, cabled, and the base operating systems have been installed and prepared.

D. Run GPU benchmark tests: Benchmarking is a post-deployment activity used to validate the performance and proper functioning of the fully assembled and configured system, not an initial deployment step.

1. HPE Reference Architecture for Generative AI on HPE ProLiant DL380a Gen11 servers with NVIDIA L40S GPUs. (Document ID: RA-2023-10-01). Section: "Solution components

" Page 4. This document explicitly lists the required hardware and software. The implicit first step of any deployment based on an RA is to verify that the on-site components match this prescribed list. The entire document is predicated on using this specific

validated bill of materials.

2. HPE Validated Solution for Generative AI with NVIDIA. (Solution Brief

Document ID: a00138315enw). Page 2

"Solution benefits." The brief describes the solution as "pre-configured" and "validated

" which underscores the importance of adhering to the specified architecture from the very beginning. The deployment process must start by confirming the hardware aligns with this validated configuration.