Build With NVIDIA AI Grid Reference Design

The AI Grid represents the next evolution of AI infrastructure, giving service providers a cost‑effective, scalable, and high‑performance foundation for delivering AI‑native services on geographically distributed infrastructure. NVIDIA’s reference design combines accelerated computing, high‑performance networking, and an intelligent control plane so operators can transform fragmented access to space, power, and cooling into a logically unified, programmable platform for AI workloads and services. By leveraging NVIDIA‑Certified Systems, storage, networking, and a global ecosystem of partners, the design reduces deployment risk and improves ROI through a pre‑validated hardware and software stack.

Terms and Definitions

Control Plane	The AI grid control plane logically unifies geographically distributed sites into a single, coherent AI fabric. It uses resource, intent, decision and policy engines to intelligently place workloads across the grid.
Prompt Awareness	Prompt awareness refers to the AI grid control plane’s ability to understand the intent, context, and complexity of an incoming request to optimize its execution across the distributed network.
Multi-Tenancy	Hard multi-tenancy provides strict hardware-level and software-level isolation so independent tenants can securely share the same physical infrastructure.
Token Monetization	Token monetization converts computational output into revenue by charging for generated tokens, enabling a consumption‑based model that aligns GPU‑accelerated inference costs with usage and optimizes ROI across distributed nodes.
AIaaS	AI-as-a-Service is a token monetization model that exposes AI applications and model APIs as metered services on the AI Grid, letting providers monetize tokens and SLAs instead of raw GPU hours.

Scope

The scope of this white paper is to provide architectural guidance for designing, deploying, and operating AI grids. It focuses on best practices using NVIDIA hardware, software, and ecosystem partners to help enterprises and service providers build scalable, production‑ready AI grids.