Hidden Overhead: How AI and Machine Learning Workloads Are Quietly Consuming Your Infrastructure Budget
Enterprise IT teams are deploying AI and machine learning capabilities at an accelerating pace, but the infrastructure costs required to support these workloads are frequently outpacing projections. Understanding the true operational overhead of ML environments—from GPU provisioning to model serving pipelines—is now a financial imperative for organizations serious about sustainable AI adoption.