If you are using a Domino Nexus deployment, some features depend on data locality. A data plane is an abstraction around a single namespace within a Kubernetes cluster in which your Domino workloads (jobs, workspaces, and compute clusters) run. Data may only be available in certain data planes due to geographic access restrictions or the cost of moving data between data centers.
Data planes are attached to hardware tiers. Depending on the data you need, you must select a hardware tier with the correct data plane when you create a job, workspace, or compute cluster.
Your Domino admin configures the data planes and hardware tiers. They also associate external data volumes (EDVs) with data planes.
There are two kinds of data planes: local and remote.
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The local data plane is a namespace within the same Kubernetes cluster as the Domino control plane (often called the
computenamespace). -
A remote data plane is a namespace residing within a separate Kubernetes cluster from the control plane.
Some features are only available in the Local data plane (hosted in the control plane):
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Model APIs
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Apps
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Datasets
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Trino data sources
Other types of data sources can be accessed on both the
Localand remote data planes, but functionality on remote data planes is in Preview. EDVs are the primary method for accessing large data sets; they have a first-class notion of data locality.
You can launch jobs and workspaces on a specific data plane by selecting a hardware tier that is configured with that data plane. You can also mount EDVs that are configured for specific data planes, and launch compute clusters alongside your executions.
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Select the
Localdata plane to use Model APIs, apps, datasets, or Trino data sources in your execution. -
You can use a local or remote data plane if you do not need those features.