Part 5/10:
Training and Inference Workloads in AI Advancement
As the discussion moves towards AI workloads, Garman explains the evolving dynamics between training and inference in AI applications. In initial stages, training dominated the landscape as developers created large models. However, as these models expand and user engagement intensifies, inference is becoming the predominant workload. Garman forecasts that over time, 80% to 90% of usage will shift to inference as AI becomes a core component in applications developed across industries.