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Data Privacy

Run:ai SaaS Cluster installation uses the Run:ai cloud as its control plane. The cluster sends information to the cloud for control as well as analytics. The document below is a run-down of the data that is being sent to the Run:ai cloud.


If the data detailed below is not in line with your organization's policy, you can choose to install the Run:ai self-hosted version. The self-hosted installation includes the Run:ai control-plane and will not communicate with the cloud. The self-hosted installation has different pricing.


Following is a list of platform data items that are sent to the Run:ai cloud.

Asset Data Details
Workload Metrics Workload names, CPU, GPU, and Memory metrics, parameters sent using the runai submit command
Workload Assets Workload Assets such as environments, compute resources and data resoruces
Resource Credentials Credentials to cluster resources are stored and encrypted using a SHA-512 algorithm. The encryption is tenant-specific
Node Metrics Node names and IPs, CPU, GPU, and Memory metrics
Cluster Metrics Cluster names, CPU, GPU, and Memory metrics
Projects & Departments Names, quota information
Users User Run:ai roles, emails and passwords (when single-sign on not used)

Run:ai does not send deep-learning artifacts to the cloud. As such any Code, images, container logs, training data, models, checkpoints and the like, stay behind corporate firewalls.

See Also

The Run:ai privacy policy.