The Hidden Costs of Operationalizing Generative AI
Generative AI, a revolutionary technology with the potential to transform industries and drive innovation, has been the subject of much excitement. However, as organizations rush to integrate these advanced models into their operations, they often encounter unforeseen expenses that can significantly impact their budgets and overall feasibility. Here, we explore some hidden costs associated with operationalizing Generative AI while highlighting potential benefits that can inspire and motivate. 1. Computing Power and Infrastructure One of Generative AI's most significant hidden costs is the immense computing power required to train and run these models. The cost of computing does not scale linearly; instead, it increases exponentially with the complexity and size of the data. For instance, handling ten times longer text can increase costs a hundredfold. This necessitates substantial investment in high-performance servers, GPUs, and cloud infrastructure, which can quickly escalate e...