From Cloud-Native To AI -Native: Why Platform Engineering Is Becoming The Enterprise OS
Platform Engineering, Monday, February 9th, 2026
As AI workloads move from experimentation into production, platform engineering teams are being asked to support a fundamentally different operating model. The shift is not only technical. It is forcing CIOs and platform leaders to rethink how infrastructure, data services and developer experience are owned, funded and governed across the enterprise.
At the infrastructure layer, the shift is driven by hardware and networking requirements that differ sharply from traditional application platforms.
Donnie Page, solutions engineer at Itential, explains that the fundamental shift is moving from an application-centric (CPU-based) to an AI-native (accelerated) architecture.
'This requires a platform capable of managing heterogeneous compute-specifically GPU orchestration and fractional sharing, for example, NVIDIA MIG,' he says.