With many generative AI projects leveraging Large Language Models (LLMs) moving from proof-of-concept to production, the demands for power-efficient, secured and scalable solutions have emerged as key priorities. Morgan Stanley research published in August projects generative AI's power demands will skyrocket 75% annually over the next several years, putting it on track to consume as much energy in 2026 as Spain did in 2022.1 Many IBM clients indicate architectural decisions to support appropriately sized f ...