Pillar 01

AI Infrastructure

A secure, scalable foundation — before a single model runs.

We stand up your AI environment on Google Cloud: projects, networking, identity, monitoring, and cost controls, all defined as code so it is reproducible from day one.

Stacked platform layers forming a single foundation, traced by a protective outline.
Why it matters

Most AI projects stall before they start. The environment is hand-clicked together in a console, permissions are too broad or too narrow, nobody can reproduce it, and the first cloud bill arrives as a surprise. Cleaning that up later costs more than doing it properly now.

Our approach

How we build it

01

Environment design

Project structure, VPC layout, and service boundaries designed around how your business actually separates data and teams.

02

Identity & access

Service accounts scoped to least privilege, human access mapped to real roles, and an audit trail that satisfies your reviewers.

03

Codified and reproducible

Every resource defined in Terraform. Your environment can be rebuilt, cloned for staging, or reviewed line by line.

04

Visibility from day one

Monitoring dashboards, log routing, budget alerts, and right-sized resources — so cost and health are never a mystery.

Deliverables

What you receive

  • Configured GCP project with Vertex AI enabled and ready for workloads
  • VPC, networking, and firewall rules matched to your data sensitivity
  • Service accounts and IAM policies built on least-privilege access
  • Terraform modules covering the full environment, in your repository
  • Cloud Monitoring dashboards with custom alerting
  • Budget alerts and a documented cost model for what you will actually spend
  • Hybrid or on-premise deployment where data sovereignty requires it
Common questions

Before you ask

We already have a GCP account. Do we start over?

Almost never. We audit what exists, keep what is sound, and bring the rest up to standard — usually as an incremental migration rather than a rebuild.

What if our data cannot leave our premises?

We design hybrid deployments where sensitive data stays on your infrastructure and only permitted workloads run in the cloud. This is a normal requirement, not an exception.

Ready to talk about ai infrastructure?

Bring your situation and we will tell you honestly what it would take, what it would cost, and whether it is the right first move.

Prefer email? contact@asisystems.io