AI Workload Deployment in Data Centers: Retrofit, Outsource or Build New? A strategic framework for decision-making
For owners of existing data center portfolios, deploying high density AI workloads presents both a significant challenge and a strategic opportunity. For colocation companies, supporting tenant AI workloads is a necessity. For enterprise companies, deploying AI across their business processes, offers, and services is equally important for being innovative and remaining competitive. Taking advantage of existing assets to potentially accelerate AI deployments at a lower cost is the opportunity. While much attention has been put on the construction of new facilities and “AI factories”, executives are looking at existing facilities with excess capacity. Can they improve their return on capital by retrofitting existing data centers to support heavy, energy-dense AI infrastructure? Is it faster and/or more cost effective than building new or outsourcing? This report helps answer these questions.
White Paper from 