The industry is shifting from bulk training and fine-tuning towards comprehensive inferencing. Prior to ChatGPT, the focus was predominantly on training models, but now the emphasis has pivoted to deploying and using these models at scale. This shift underscores the significant growth of inferencing in the industry, marking a transformative phase.

We have seen explosive growth of AI and this trend will continue to thrive for the next 4-6 years, unaffected by economic conditions. The increasing prominence of inferencing reflects a fundamental change in how AI technologies are applied, shaping the future landscape of ML applications.