# Physical AI infrastructure and open-source stack map

Map the software layers needed for physical AI and robotics infrastructure.

## Relevant capabilities

- Projects grouped by infrastructure layer
- Official project references
- Connections to data and AI infrastructure

## How to compare

- Map ingestion, storage, training, simulation, serving and observability as separate infrastructure layers.
- Hardware compatibility, safety requirements and deployment environment constrain the software choice.
- Treat the stack map as a planning aid; confirm project maturity, licenses and operational support directly.

## Bring these inputs

- Sensor/data sources and intended deployment environment
- Hardware, models and integration requirements
- Safety, latency, data retention and operational ownership constraints

## A practical first workflow

- Map the target workflow to the infrastructure layers.
- Review official project references and identify missing integrations.
- Test a bounded non-production pipeline on representative data.
- Agree deployment scope and specialist responsibilities before production use.

## Check before expanding

- Validate data formats and hardware compatibility.
- Measure pipeline latency and recoverability.
- Confirm domain-specific safety review and operating ownership.

## Economics
Evaluate infrastructure capacity and the work required to operate the selected components. Open-source licensing alone does not determine total cost.

## Switching considerations
Check hardware, data formats, integration needs and operational ownership for your specific deployment.

## 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=physical-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/physical-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/physical-ai/open-source-stack-map
- https://hyperlake.cloud/physical-ai

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