The transition from training generative AI models to agentic AI inference represents a fundamental shift in compute requirements toward more and more agile infrastructure. While chatbots operate on linear, user-driven queries, agents function autonomously — planning, reasoning, and executing multi-step workflows. They chain together specific "expert" models for coding, math, or creative writing in real-time. This dynamic behavior creates a nightmare for traditional infrastructure: You no longer know which model needs to run next.
