Beyond Cloud-First: Why Enterprises Are Pulling AI Compute Back In

GPU pricing and data transfer costs have made cloud-based AI inference economically untenable at scale. Enterprises are responding by adopting hybrid strategies—placing compute near data sources through colocation or on-premises deployment—which can cut inference costs by 40-60%. This shift represents a fundamental change in cloud strategy, where 'cloud-smart' replaces 'cloud-first.'