From Experimentation to Execution: Platform Engineering for Scalable Generative AI

This Futurum report, sponsored by Red Hat, discusses the shift from experimentation to execution in enterprise generative AI, focusing on the operational constraints that limit AI system deployment. It highlights the need for platform engineering to absorb AI workloads as a new workload class, extending engineering disciplines like GitOps, continuous integration and continuous delivery (CI/CD), Infrastructure as Code, observability, and Policy as Code.

 

First page of analyst paper