Catalog
Product · Data & Analytics
Enterprise AI Lab
Reference Architecture & Investment Blueprint
- Built for
- Enterprise AI Programs
- Modules
- 6
- Stack
- 4
- Reference Architecture
- Capability Roadmap
- Investment & TCO/ROI
- Readiness by Domain
- GPU Cluster Plan
- Governance & Multi-Tenancy
- OpenShift
- RapidMiner
- GPU Cluster
- Vector DB
Enterprise AI Lab is a reference architecture and investment dashboard for standing up a sovereign enterprise AI platform, teaching AI in thirty days and scaling to a research supercomputing cloud over a decade. A single OpenShift-based platform begins with RapidMiner for teaching and layers on private LLMs, agentic AI, multi-tenant governance and GPU supercomputing, built once and never ripped out. The dashboard tracks a four-phase, ten-year programme with budget burn, capability roadmap, readiness by domain and phased investment, each phase standing alone and demand-gated. It maps forty architecture deliverables and six tenants from teaching cohorts to government.
- Four-phase, ten-year programme on one OpenShift platform
- Teaching foundation live in 30 days, research cloud over a decade
- Phased, demand-gated investment with budget-burn tracking
- 40 architecture deliverables across the full blueprint
- Six tenants from teaching cohorts to government
- RapidMiner teaching layered up to private LLMs and GPU supercomputing