12/05/2026
The AI conversation has focused heavily on training bigger models. But the real transformation is happening around inference.
As AI becomes embedded in every interaction, inference shifts from an occasional task to a continuous, real-time workload. Agentic applications rely on hundreds of chained micro-inferences and each one is sensitive to latency, location, and reliability.
This evolution is driving a fundamental change in infrastructure. Centralized architectures struggle to meet millisecond-level demands at global scale. Distributed GPUs and edge native intelligence are becoming essential to delivering responsive, agent-driven experiences.
Our latest white paper explores what this shift means and how to architect for the agentic web: https://oal.lu/C1bti
