Mirantis AI Factory Reference Architecture

Essential knowledge for CSPs and organizations that need to host AI applications at scale

AI adoption is accelerating across every sector. Meanwhile, tech innovation is outpacing most organizations’ ability to:

• Support AI at scale

• Deliver new services quickly (before competitors do!) at viable price-points

• Maximize ROI from expensive GPU resources

This executive brief explains how the AI factory model is transforming AI from artisanal data science into a repeatable, industrialized process—complete with multi-cloud and multi-cluster infrastructure management and automation that reduces operations overheads, and works in private datacenters, colos, hyperscaler public clouds, and at the edge.

What You’ll Learn

• What defines an AI factory and how it differs from a traditional data center  

• Why enterprises are embracing the AI factory model for repeatability, scale, and agility  

• How organizations are achieving 70–90% GPU utilization using bin-packing and resource partitioning (and how all this can be automated, for speed)  

• What compounding benefits make AI factories more valuable over time  

• How leaders like the EU, India, and Japan are investing in AI factory infrastructure  

• What’s inside a production-grade AI factory: hardware, software, orchestration, and observability

• How platform engineering teams can deliver self-service, cost-efficient AI environments anywhere 

Download the full brief to understand the role of the AI factory, and why now is the time to start building.