AI Training vs Inference: Why 2025 Changes Everything for Real-Time Applications
The AI landscape is experiencing a fundamental shift. After years of focusing on training massive models, the industry is pivoting toward inference — the phase where trained models actually do useful work. This isn’t just a technical change; it’s an economic revolution that will reshape data centers, business models, and how we think about AI infrastructure. What Makes Training and Inference Different? Think of AI development in two distinct phases. Training is like going to medical school — an intense, expensive, one-time investment where you learn everything. Inference is like practicing medicine — you use what you learned millions of times, every single day. ...