CIOs are facing a quandary over rising power consumption from the huge compute demands of training and deploying advanced AI models, while energy costs are simultaneously rising. This challenge is reshaping how organizations consider their workload hosting strategies.
The public cloud vendors position themselves as the destination of choice for training AI workloads, but their services may become unsustainable from a cost perspective when moving beyond just training to deploying AI models.
Almost no organization these days wants to build their own on-prem datacenter. They want to have control and compliance, but without facing increased power requirements.
Finding an optimal model for IT architecture that leverages the potential of AI while addressing the financial strain of energy consumption is a pressing issue for large corporates.
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