Platform deployment

You can deploy Union.ai on all major cloud providers, on neocloud providers, and on-premises on any Kubernetes cluster. You can also choose between two deployment models, depending on how much of the data plane you want to manage yourself:

Self-managed deployment: You run the data plane on infrastructure you control, and you manage the cluster, upgrades, and all operational aspects. Union.ai support has no access to your cluster, giving you the highest level of data isolation. Supported on AWS, GCP, Azure and OCI; on neocloud providers including CoreWeave, Crusoe, and Nebius; and on any generic Kubernetes environment.
BYOC deployment: Union.ai manages the data plane for you, but it still runs in your cloud account. You manage your cloud account and its resources; Union.ai handles the cluster, upgrades, and monitoring. To do this, Union.ai support has some access to your cluster, strictly for upgrades, provisioning, and maintaining cluster health, but never to your object storage or logs. Supported on AWS, GCP, and Azure.

In both cases, the control plane runs in Union.ai’s cloud account, but due to Union’s Zero Trust architecture, your data and code never traverse the control plane. Your code, data, container images, secrets and logs stay in the data plane in your own cloud account. See Two-plane separation for how the split works.

Get started

You can set up a self-managed deployment on AWS, GCP, or Azure yourself, from the Union.ai UI, without waiting on anyone:

Subscribe and sign up. Create your organization, your team’s workspace in Union.ai. How you pay is separate from where your data plane runs: subscribe on AWS Marketplace to have the charges appear on your AWS bill, wherever your cluster is, or sign up directly. New organizations start with a 30-day free trial. You can run a workflow on your own machine as soon as your organization exists, with no cluster.
Provision your cloud resources on AWS, GCP, or Azure. Create the Kubernetes cluster, object store, image registry, and identities the data plane runs on, in your own cloud account.
Connect your cluster. Enter your resources’ details in the Union.ai UI and install the agent it gives you. The agent connects outwards and installs the data plane, so you never open a port, expose an endpoint, or hand over cluster credentials.

The UI flow covers AWS, GCP, and Azure today. If your data plane runs on OCI or a neocloud provider such as CoreWeave, Crusoe, or Nebius, or on your own Kubernetes cluster, follow the self-managed setup with Helm. If you want Union.ai to run your data plane for you, see BYOC deployment.

Subscribe and sign upCreate your organization and choose how you pay: on AWS Marketplace or directly. Billing is separate from where your data plane runs.Self-managed deploymentRun the data plane on your own Kubernetes cluster, owning the cluster and its upgrades while Union.ai runs the control plane.BYOC deploymentUnion manages the data plane infrastructure inside your cloud account; you supply the account and network configuration.Manage Union through TerraformManage a Union deployment as infrastructure-as-code with the Union Terraform provider.