Configuring AI services
Prerequisites
Please meet the following conditions before configure AI Services:
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You must be using DCT Enterprise and have administrator permissions.
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Your system must meet the memory and CPU requirements for DCT.
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You must access the Delphix Download Center to retrieve the model file.
Generated synthetic data remains within the DCT environment and is not transmitted externally. Model uploads and usage should follow your organization’s internal access control and audit practices.
Setting up AI services
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Log into DCT and navigate to Admin Settings > AI Services.
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Toggle the feature switch to enable AI Services. This step only enables the service—it does not install the model.
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Go to the Delphix Download Center, locate the supported model file, and download it to a secure local machine.
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The file is approximately 3.2 GB and should be handled in accordance with your organization’s file management policies.
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Return to Admin Settings > AI Services in the DCT interface.
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Use the Upload Model option to select the file you downloaded.
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Once uploaded, the model becomes active.
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Uploading a new model will overwrite any existing one.
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After uploading, verify that the model has been correctly installed by looking for details like model family, name, a context window, and more.
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The system will confirm successful upload, and you can test the installation by initiating a synthetic data generation task.
Updating the model
When new models are released, download the latest version from the Download Center and follow the same upload process. The new model (when uploaded) will automatically replace the old one.
Troubleshooting
If you encounter issues:
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Confirm the system has adequate memory and disk space.
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Review the DCT logs and Admin > Operations for additional context.
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Look for operations of type LLM Upload Model to determine if the operation successfully completed. If not, an error will be there to explain why it failed.
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Verify that the correct model version was downloaded.
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For Kubernetes DCT deployments only, check connectivity between the AI execution and control containers.
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Confirm that the ai-control and ai-execution service pods are running and healthy.
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