Run Adam AI agents on Google Cloud

Lift the Adam AI stack into your own Google Cloud project on private GPU compute. The agents, skills and Control Centre you built on-premises run unchanged, with your project, your region and your billing account.

Private GPU compute

GPU VMs or GKE node pools inside your project. No shared endpoints and no data leaving your perimeter.

Same containers, same agents

Adam AI is containerised end to end, so the move from the office box to Google Cloud is a redeploy, not a rebuild.

Right-sized by band

Compute is sized to your active agents and actions, the same measures that set your licence band.

How it is deployed

From one box to your Google Cloud project in four steps

Step 1

Readiness

Project, VPC, IAM and region agreed, plus the list of systems the agents will connect to and the 90-day outcome.

Step 2

Landing zone

Private VPC, GPU node pool, encrypted persistent disks and your identity provider for Control Centre access.

Step 3

Lift

Agent fleet, skills library, memory and audit trail move across with roles and permissions intact.

Step 4

Run

Operate from the Control Centre, with signed monthly usage receipts and a usage dashboard your finance team can read.

What stays yours

Ownership does not change because the hardware did

Your account, your bill

Compute runs under your enterprise agreement and your committed spend. Nothing is resold or marked up by us.

Your data, your region

Choose the region. Data residency, retention and deletion follow your policies, not a vendor’s.

Your models

Run open models on your own GPUs, or route specific roles to Claude with training off and 30-day retention. You decide per agent.

Questions we get asked

Straight answers

Are you an official partner of this cloud?

No, and we do not need to be. Adam AI runs on standard GPU instances inside your own tenancy. We hold no special status with the provider; you hold the account, the contract and the data.

Does our data leave our tenancy?

No. Models, vector stores, agent memory and logs all sit in your own account and region. Adam AI connects outward to your systems through the integration broker with single-job permissions.

Can we start on-premises and move later?

Yes. Most clients start on a single on-premises box and lift the same stack into their cloud tenancy when they outgrow it. The licence follows the agents, not the hardware.

Who runs it day to day?

You can, your existing cloud team can, or we can through the Control Centre. Security updates and skills updates ship with the platform licence whichever you choose.

Scale on Google Cloud

Your project. Your data. Our agents, working for you.

Share your agent count and region and we will size the node pool and quote the licence band.