ChatGPT began AI's watershed moment that triggered IT infrastructure's tectonic shift and race in extraordinary and lasting commitments to AI Factory. Many governments and enterprises alike are making enormous capital and people investments to not be left behind the AI boom. Corporate boardrooms are evaluating purposeful infrastructure plans. What is the best architectural decision - retrofitting, built from scratch or adopt a wait-and-see? This fork in the road has given pause and decision paralysis to some infrastructure decision makers. Our talk examines the AI Factory Spectrum to identify solutions that advance the infrastructure challenge sustainably.
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Learning Objectives
Data is king. Tremendous circularity opportunity to do Life Cycle Management from AI data migration. Energy is king. Train AI once, multiple use opportunity for Energy and Storage Management Built new or retrofit. It depends. Discuss architectural use cases
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San Tomas + Lawrence
Webform Submission ID
135