Playbook AI Infrastructure & Vapor Cloud

Lay Down a Reusable AI Platform on Google Cloud — Not Just One More Project.

The AI Infrastructure & Vapor Cloud Playbook turns “random AI initiatives” into a concrete platform: VPC, IAM, Vertex AI, BigQuery, storage, and security wired into a consistent, repeatable foundation.

Built on Google Cloud · Vertex AI

Zero-Trust, Data-First, Enterprise-Ready

Part of the MBCC Vapor Cloud Enterprise System · Strictly enterprise, platform-first thinking.

What This Playbook Actually Delivers

This is the blueprint for your “AI-ready” Google Cloud landing zone. It is not a single demo environment — it’s the infrastructure foundation your data and ML teams can rely on for the next wave of use cases.

Vapor Cloud Architecture

A layered view of storage, compute, networking, IAM, and AI services that keeps local-first, hybrid, and cloud-native in the same story — not competing stories.

Vertex AI as First-Class Citizen

Opinionated patterns for training, deployment, and monitoring using Vertex AI, wired directly into your VPC, IAM, and logging strategy.

Data Platform Integration

BigQuery, Cloud Storage, and optional operational databases connected as a governed data backbone for AI instead of one-off buckets.

Security & Zero Trust

Identity, network boundaries, service accounts, and CMEK patterns tuned for AI workloads — from lab experiments to production systems.

Who This Is For

The AI Infrastructure & Vapor Cloud Playbook is built for organizations that want to stop doing “hero projects” and start doing platform thinking.

CIOs and CTOs designing their long-term AI / data platform on Google Cloud.
Heads of Cloud, Platform Engineering, or CCoEs who must support many teams.
Security and Compliance leaders who want AI without losing control of data.
Enterprises moving from on-prem or single-app deployments to a shared AI foundation.

What’s Inside the Playbook

The playbook ships with both conceptual maps and concrete assets you can adapt to your environment.

Reference architectures for an AI-ready VPC + subnet design.
IAM role and service account patterns for data, training, and serving.
Guidance on using private service access, VPC-SC, and perimeter design.
Blueprints for connecting BigQuery, Cloud Storage, and Vertex AI cleanly.
Example Terraform or IaC structures (at a pattern level) to stand up core pieces.

Engagement Options

You can treat this like a playbook and implement internally, or work with a Vapor Cloud Digital Leader (VCDL) to design and land the platform with your teams.

Blueprint Only: Use the patterns, diagrams, and templates to implement with your teams.
Co-Design & Build: Joint design sessions and implementation sprints with your platform engineers.
Ongoing Platform Stewardship: Continued guidance as new AI services and org needs emerge.