What this guide shows
This poster lays out the major layers required to build and operate a modern AI or HPC platform end to end.
It covers:
- application and AI/ML platforms
- orchestration and GitOps foundations
- CI/CD and automation tooling
- observability, storage, and data systems
- workload scheduling and platform services
- GPU operations, networking, and infrastructure foundations
Best for
- platform engineers building internal AI factories
- teams defining a reference stack for GPU and HPC environments
- leaders aligning tooling conversations across infra, platform, and workload teams
Why it matters
Most AI platform discussions get trapped at the application layer. This poster keeps the full operational stack visible so teams can reason about dependencies, ownership boundaries, and production readiness.