Kubernetes Did Not Miss the AI Wave. It Absorbed It

AI has brought demanding new requirements to Kubernetes without displacing its underlying control model. Accelerator scheduling, model-aware routing, quota management and inference observability are extending the same infrastructure used to deploy, scale and secure other production workloads.

Techstrong’s special report, The Great Unification, examines how cloud native projects are adapting to AI and what that means for enterprise operations. It connects those changes to platform engineering, delivery and security while considering the risk that proprietary gateways and agent control planes could limit portability above an otherwise shared infrastructure layer.