NVIDIA’s AI Infrastructure Portfolio: Hardware and Software Overview

Few companies come up as often in AI infrastructure conversations as NVIDIA, and few product lines are as hard to hold in one’s head. In roughly eighteen months, the portfolio has grown from GPUs and a software library into a full stack: CPUs, rack-scale systems, scale-up and scale-out networking, DPUs, context-memory storage, reference designs for entire facilities, inference orchestration software, open models, and now an enterprise agent framework. In this article, I will walk through that portfolio layer by layer, as it stands in October 2026.