Source: The Next Web
AWS's price increase reflects an economic fact: demand for inference compute—not just training—now exceeds available capacity across major cloud providers, giving them pricing power they haven't had since the early cloud era. This creates immediate friction for cost-conscious AI startups and enterprises that bet on cloud GPU economics, but also accelerates the business case for alternative paths like on-premises silicon, edge deployment, and smaller specialized models that don't require renting premium chips. The rental model itself remains viable, but the unit economics that made it attractive two years ago are eroding.