# Private AI infrastructure: features, cost and control

Compare deployment boundaries, model control and who operates the stack. HyperLake manages open-source stacks in your own cloud account.

## Relevant capabilities

- Customer-controlled cloud account and region
- Managed data engines, model serving and agent workspaces
- Expert support included in the subscription

## How to compare

- Define where data, model endpoints, logs and backups must reside; private AI is a deployment boundary, not a single product label.
- Assign operating responsibility for models, data engines, updates and incident response.
- Compare capacity, utilization, support and platform charges at the same workload and service level.

## Bring these inputs

- Cloud account, region and data-boundary requirements
- Representative workloads, models, throughput and latency targets
- Security, integration and operating-ownership requirements

## A practical first workflow

- Document the deployment boundary and workload requirements.
- Review the supported stack and separate confirmed requirements from open questions, including on-premises support.
- Pilot a representative workload with agreed quality and performance checks.
- Agree operational ownership, support and total-cost assumptions before moving production work.

## Check before expanding

- Verify which account and region hold data and compute.
- Measure workload quality, latency and utilization.
- Reconcile direct cloud charges, platform subscription and operating effort.

## Economics
Your cloud compute is billed at 0% HyperLake markup, plus the HyperLake subscription. Compare equivalent capacity, utilization and operating effort; total savings depend on the workload.

## Switching considerations
Check supported cloud accounts, data boundaries, model requirements and migration scope with the team. On-premises availability must be confirmed separately.

## Free next step
Get a free deployment checklist, then create your workspace. Free expert help with your use case is also available through our contact form.

[Create your HyperLake workspace](https://app.hyperlake.cloud/users/sign_in?intent=private-ai&offer_id=starter-checklist-v1&utm_source=hyperlake&utm_medium=owned&utm_campaign=signup-journey&utm_content=landing_hero)

[Download the free checklist](https://hyperlake.cloud/solutions/private-ai.txt)

No free cloud capacity is promised. Deployment scope and charges are agreed separately; AWS and Google Cloud are available today.

## Sources
- https://hyperlake.cloud/
- https://hyperlake.cloud/blog/private-ai-infrastructure-for-enterprises-in-2026-options-compared

[Discuss this workflow](https://hyperlake.cloud/contact)