# Data plane setup on CoreWeave

Union.ai's modular architecture allows for great flexibility and control.
You can decide how many clusters to have, their shape, and who has access to what.
All communication is encrypted.  The Union architecture is described on the [Architecture](https://www.union.ai/docs/v2/union/deployment/selfmanaged/architecture/_index) page.

If you already have a CoreWeave Kubernetes Service (CKS) cluster and CoreWeave AI Object Storage (bucket, access keys, access policy) configured, skip directly to [Deploy the dataplane](https://www.union.ai/docs/v2/union/deployment/selfmanaged/selfmanaged-coreweave/deploy-dataplane/page.md).

Otherwise, start with [Prepare infrastructure](https://www.union.ai/docs/v2/union/deployment/selfmanaged/selfmanaged-coreweave/prepare-infra/page.md) to set up the required CoreWeave resources.

## Subpages

- [Prepare infrastructure](https://www.union.ai/docs/v2/union/deployment/selfmanaged/selfmanaged-coreweave/prepare-infra/page.md)
  - CKS cluster
  - CoreWeave AI Object Storage
  - Create a bucket
  - Generate access credentials
  - Create an access policy
- [Deploy the dataplane](https://www.union.ai/docs/v2/union/deployment/selfmanaged/selfmanaged-coreweave/deploy-dataplane/page.md)
  - Assumptions
  - Prerequisites
  - Deploy the Union.ai operator
  - Test a workflow
  - Troubleshooting
  - Additional resources

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**Source**: https://github.com/unionai/unionai-docs/blob/main/content/deployment/selfmanaged/selfmanaged-coreweave/_index.md
**HTML**: https://www.union.ai/docs/v2/union/deployment/selfmanaged/selfmanaged-coreweave/